problem solving skills in programming

What Is Problem Solving? How Software Engineers Approach Complex Challenges

From debugging an existing system to designing an entirely new software application, a day in the life of a software engineer is filled with various challenges and complexities. The one skill that glues these disparate tasks together and makes them manageable? Problem solving . 

Throughout this blog post, we’ll explore why problem-solving skills are so critical for software engineers, delve into the techniques they use to address complex challenges, and discuss how hiring managers can identify these skills during the hiring process. 

What Is Problem Solving?

But what exactly is problem solving in the context of software engineering? How does it work, and why is it so important?

Problem solving, in the simplest terms, is the process of identifying a problem, analyzing it, and finding the most effective solution to overcome it. For software engineers, this process is deeply embedded in their daily workflow. It could be something as simple as figuring out why a piece of code isn’t working as expected, or something as complex as designing the architecture for a new software system. 

In a world where technology is evolving at a blistering pace, the complexity and volume of problems that software engineers face are also growing. As such, the ability to tackle these issues head-on and find innovative solutions is not only a handy skill — it’s a necessity. 

The Importance of Problem-Solving Skills for Software Engineers

Problem-solving isn’t just another ability that software engineers pull out of their toolkits when they encounter a bug or a system failure. It’s a constant, ongoing process that’s intrinsic to every aspect of their work. Let’s break down why this skill is so critical.

Driving Development Forward

Without problem solving, software development would hit a standstill. Every new feature, every optimization, and every bug fix is a problem that needs solving. Whether it’s a performance issue that needs diagnosing or a user interface that needs improving, the capacity to tackle and solve these problems is what keeps the wheels of development turning.

It’s estimated that 60% of software development lifecycle costs are related to maintenance tasks, including debugging and problem solving. This highlights how pivotal this skill is to the everyday functioning and advancement of software systems.

Innovation and Optimization

The importance of problem solving isn’t confined to reactive scenarios; it also plays a major role in proactive, innovative initiatives . Software engineers often need to think outside the box to come up with creative solutions, whether it’s optimizing an algorithm to run faster or designing a new feature to meet customer needs. These are all forms of problem solving.

Consider the development of the modern smartphone. It wasn’t born out of a pre-existing issue but was a solution to a problem people didn’t realize they had — a device that combined communication, entertainment, and productivity into one handheld tool.

Increasing Efficiency and Productivity

Good problem-solving skills can save a lot of time and resources. Effective problem-solvers are adept at dissecting an issue to understand its root cause, thus reducing the time spent on trial and error. This efficiency means projects move faster, releases happen sooner, and businesses stay ahead of their competition.

Improving Software Quality

Problem solving also plays a significant role in enhancing the quality of the end product. By tackling the root causes of bugs and system failures, software engineers can deliver reliable, high-performing software. This is critical because, according to the Consortium for Information and Software Quality, poor quality software in the U.S. in 2022 cost at least $2.41 trillion in operational issues, wasted developer time, and other related problems.

Problem-Solving Techniques in Software Engineering

So how do software engineers go about tackling these complex challenges? Let’s explore some of the key problem-solving techniques, theories, and processes they commonly use.

Decomposition

Breaking down a problem into smaller, manageable parts is one of the first steps in the problem-solving process. It’s like dealing with a complicated puzzle. You don’t try to solve it all at once. Instead, you separate the pieces, group them based on similarities, and then start working on the smaller sets. This method allows software engineers to handle complex issues without being overwhelmed and makes it easier to identify where things might be going wrong.

Abstraction

In the realm of software engineering, abstraction means focusing on the necessary information only and ignoring irrelevant details. It is a way of simplifying complex systems to make them easier to understand and manage. For instance, a software engineer might ignore the details of how a database works to focus on the information it holds and how to retrieve or modify that information.

Algorithmic Thinking

At its core, software engineering is about creating algorithms — step-by-step procedures to solve a problem or accomplish a goal. Algorithmic thinking involves conceiving and expressing these procedures clearly and accurately and viewing every problem through an algorithmic lens. A well-designed algorithm not only solves the problem at hand but also does so efficiently, saving computational resources.

Parallel Thinking

Parallel thinking is a structured process where team members think in the same direction at the same time, allowing for more organized discussion and collaboration. It’s an approach popularized by Edward de Bono with the “ Six Thinking Hats ” technique, where each “hat” represents a different style of thinking.

In the context of software engineering, parallel thinking can be highly effective for problem solving. For instance, when dealing with a complex issue, the team can use the “White Hat” to focus solely on the data and facts about the problem, then the “Black Hat” to consider potential problems with a proposed solution, and so on. This structured approach can lead to more comprehensive analysis and more effective solutions, and it ensures that everyone’s perspectives are considered.

This is the process of identifying and fixing errors in code . Debugging involves carefully reviewing the code, reproducing and analyzing the error, and then making necessary modifications to rectify the problem. It’s a key part of maintaining and improving software quality.

Testing and Validation

Testing is an essential part of problem solving in software engineering. Engineers use a variety of tests to verify that their code works as expected and to uncover any potential issues. These range from unit tests that check individual components of the code to integration tests that ensure the pieces work well together. Validation, on the other hand, ensures that the solution not only works but also fulfills the intended requirements and objectives.

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Evaluating Problem-Solving Skills

We’ve examined the importance of problem-solving in the work of a software engineer and explored various techniques software engineers employ to approach complex challenges. Now, let’s delve into how hiring teams can identify and evaluate problem-solving skills during the hiring process.

Recognizing Problem-Solving Skills in Candidates

How can you tell if a candidate is a good problem solver? Look for these indicators:

• Previous Experience: A history of dealing with complex, challenging projects is often a good sign. Ask the candidate to discuss a difficult problem they faced in a previous role and how they solved it.
• Problem-Solving Questions: During interviews, pose hypothetical scenarios or present real problems your company has faced. Ask candidates to explain how they would tackle these issues. You’re not just looking for a correct solution but the thought process that led them there.
• Technical Tests: Coding challenges and other technical tests can provide insight into a candidate’s problem-solving abilities. Consider leveraging a platform for assessing these skills in a realistic, job-related context.

Assessing Problem-Solving Skills

Once you’ve identified potential problem solvers, here are a few ways you can assess their skills:

• Solution Effectiveness: Did the candidate solve the problem? How efficient and effective is their solution?
• Approach and Process: Go beyond whether or not they solved the problem and examine how they arrived at their solution. Did they break the problem down into manageable parts? Did they consider different perspectives and possibilities?
• Communication: A good problem solver can explain their thought process clearly. Can the candidate effectively communicate how they arrived at their solution and why they chose it?
• Adaptability: Problem-solving often involves a degree of trial and error. How does the candidate handle roadblocks? Do they adapt their approach based on new information or feedback?

Hiring managers play a crucial role in identifying and fostering problem-solving skills within their teams. By focusing on these abilities during the hiring process, companies can build teams that are more capable, innovative, and resilient.

Key Takeaways

As you can see, problem solving plays a pivotal role in software engineering. Far from being an occasional requirement, it is the lifeblood that drives development forward, catalyzes innovation, and delivers of quality software. 

By leveraging problem-solving techniques, software engineers employ a powerful suite of strategies to overcome complex challenges. But mastering these techniques isn’t simple feat. It requires a learning mindset, regular practice, collaboration, reflective thinking, resilience, and a commitment to staying updated with industry trends. 

For hiring managers and team leads, recognizing these skills and fostering a culture that values and nurtures problem solving is key. It’s this emphasis on problem solving that can differentiate an average team from a high-performing one and an ordinary product from an industry-leading one.

At the end of the day, software engineering is fundamentally about solving problems — problems that matter to businesses, to users, and to the wider society. And it’s the proficient problem solvers who stand at the forefront of this dynamic field, turning challenges into opportunities, and ideas into reality.

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Lesson 27 of 33 By Hemant Deshpande

Table of Contents

Coding and Programming skills hold a significant and critical role in implementing and developing various technologies and software. They add more value to the future and development. These programming and coding skills are essential for every person to improve problem solving skills. So, we brought you this article to help you learn and know the importance of these skills in the future. 

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Topics covered in this problem solving in programming article are:

• What is Problem Solving in Programming? 
• Problem Solving skills in Programming
• How does it impact your career ?
• Steps involved in Problem Solving
• Steps to improve Problem Solving in programming

What is Problem Solving in Programming?

Computers are used to solve various problems in day-to-day life. Problem Solving is an essential skill that helps to solve problems in programming. There are specific steps to be carried out to solve problems in computer programming, and the success depends on how correctly and precisely we define a problem. This involves designing, identifying and implementing problems using certain steps to develop a computer.

When we know what exactly problem solving in programming is, let us learn how it impacts your career growth.

How Does It Impact Your Career?

Many companies look for candidates with excellent problem solving skills. These skills help people manage the work and make candidates put more effort into the work, which results in finding solutions for complex problems in unexpected situations. These skills also help to identify quick solutions when they arise and are identified. 

People with great problem solving skills also possess more thinking and analytical skills, which makes them much more successful and confident in their career and able to work in any kind of environment. 

The above section gives you an idea of how problem solving in programming impacts your career and growth. Now, let's understand what problem solving skills mean.

Problem Solving Skills in Programming

Solving a question that is related to computers is more complicated than finding the solutions for other questions. It requires excellent knowledge and much thinking power. Problem solving in programming skills is much needed for a person and holds a major advantage. For every question, there are specific steps to be followed to get a perfect solution. By using those steps, it is possible to find a solution quickly.

The above section is covered with an explanation of problem solving in programming skills. Now let's learn some steps involved in problem solving.

Steps Involved in Problem Solving

Before being ready to solve a problem, there are some steps and procedures to be followed to find the solution. Let's have a look at them in this problem solving in programming article.

Basically, they are divided into four categories:

• Analysing the problem
• Developing the algorithm
• Testing and debugging

Analysing the Problem

Every problem has a perfect solution; before we are ready to solve a problem, we must look over the question and understand it. When we know the question, it is easy to find the solution for it. If we are not ready with what we have to solve, then we end up with the question and cannot find the answer as expected. By analysing it, we can figure out the outputs and inputs to be carried out. Thus, when we analyse and are ready with the list, it is easy and helps us find the solution easily. 

Developing the Algorithm

It is required to decide a solution before writing a program. The procedure of representing the solution  in a natural language called an algorithm. We must design, develop and decide the final approach after a number of trials and errors, before actually writing the final code on an algorithm before we write the code. It captures and refines all the aspects of the desired solution.

Once we finalise the algorithm, we must convert the decided algorithm into a code or program using a dedicated programming language that is understandable by the computer to find a desired solution. In this stage, a wide variety of programming languages are used to convert the algorithm into code. 

Testing and Debugging

The designed and developed program undergoes several rigorous tests based on various real-time parameters and the program undergoes various levels of simulations. It must meet the user's requirements, which have to respond with the required time. It should generate all expected outputs to all the possible inputs. The program should also undergo bug fixing and all possible exception handling. If it fails to show the possible results, it should be checked for logical errors.

Industries follow some testing methods like system testing, component testing and acceptance testing while developing complex applications. The errors identified while testing are debugged or rectified and tested again until all errors are removed from the program.

The steps mentioned above are involved in problem solving in programming. Now let's see some more detailed information about the steps to improve problem solving in programming.

Steps to Improve Problem Solving in Programming

Right mindset.

The way to approach problems is the key to improving the skills. To find a solution, a positive mindset helps to solve problems quickly. If you think something is impossible, then it is hard to achieve. When you feel free and focus with a positive attitude, even complex problems will have a perfect solution.

Making Right Decisions

When we need to solve a problem, we must be clear with the solution. The perfect solution helps to get success in a shorter period. Making the right decisions in the right situation helps to find the perfect solution quickly and efficiently. These skills also help to get more command over the subject.

Keeping Ideas on Track

Ideas always help much in improving the skills; they also help to gain more knowledge and more command over things. In problem solving situations, these ideas help much and help to develop more skills. Give opportunities for the mind and keep on noting the ideas.

Learning from Feedbacks

A crucial part of learning is from the feedback. Mistakes help you to gain more knowledge and have much growth. When you have a solution for a problem, go for the feedback from the experienced or the professionals. It helps you get success within a shorter period and enables you to find other solutions easily.

Asking Questions

Questions are an incredible part of life. While searching for solutions, there are a lot of questions that arise in our minds. Once you know the question correctly, then you are able to find answers quickly. In coding or programming, we must have a clear idea about the problem. Then, you can find the perfect solution for it. Raising questions can help to understand the problem.

These are a few reasons and tips to improve problem solving in programming skills. Now let's see some major benefits in this article.

• Problem solving in programming skills helps to gain more knowledge over coding and programming, which is a major benefit.
• These problem solving skills also help to develop more skills in a person and build a promising career.
• These skills also help to find the solutions for critical and complex problems in a perfect way.
• Learning and developing problem solving in programming helps in building a good foundation.
• Most of the companies are looking for people with good problem solving skills, and these play an important role when it comes to job opportunities 

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Problem solving in programming skills is important in this modern world; these skills build a great career and hold a great advantage. This article on problem solving in programming provides you with an idea of how it plays a massive role in the present world. In this problem solving in programming article, the skills and the ways to improve more command on problem solving in programming are mentioned and explained in a proper way.

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If you have any questions for us on the problem solving in programming article. Do let us know in the comments section below; we have our experts answer it right away.

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About the author.

Hemant Deshpande, PMP has more than 17 years of experience working for various global MNC's. He has more than 10 years of experience in managing large transformation programs for Fortune 500 clients across verticals such as Banking, Finance, Insurance, Healthcare, Telecom and others. During his career he has worked across the geographies - North America, Europe, Middle East, and Asia Pacific. Hemant is an internationally Certified Executive Coach (CCA/ICF Approved) working with corporate leaders. He also provides Management Consulting and Training services. He is passionate about writing and regularly blogs and writes content for top websites. His motto in life - Making a positive difference.

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Posted on Aug 10, 2022

How to develop strong problem solving skills as a software developer

Introduction.

It is generally known that problem solving is an essential skill for software engineers.

Good problem solving skills involve being able to think creatively and analytically, breaking down problems into smaller parts and using a systematic approach to find solutions. Strong problem solving skills are essential for a successful career in software development. In this article we will review some approach.

Various Methods

Trial and error method.

The trial and error method is a common problem-solving technique in which potential solutions are tried out one by one until a working solution is found. This method can be used for both simple and complex problems.

Divide and conquer

Another approach is to use a more systematic method, such as divide and conquer or reduction. Divide and conquer is a software engineering technique for solving complex problems by breaking them down into smaller, more manageable pieces. This allows for more efficient and effective problem solving by breaking down a complex problem into smaller, more manageable sub-problems. Once these sub-problems have been solved, they can be combined to solve the larger, more complex problem.

One common example of divide and conquer is the use of recursion. Recursion involves breaking a problem down into smaller sub-problems, solving each sub-problem, and then combining the solutions to the sub-problems to solve the larger problem. Another common example is the use of algorithms, such as the quick sort algorithm, which break a problem down into smaller pieces, solving each piece, and then combining the solutions to the pieces to solve the larger problem.

Once a solution is found, it is important to learn from the experience and use that knowledge to improve future problem solving skills. This includes understanding what went wrong, what could have been done better, and how similar problems can be avoided in the future. By taking these steps, software developers can become more effective problem solvers.

Problem solving skills is important in its own way. As a software developer, you should try to develop all of these skills in order to be successful.

Analytical skills:

Analytical skills are the ability to collect and analyze data, identify patterns and trends, and make decisions based on that information. They involve both logical and creative thinking, as well as the ability to pay attention to detail. Strong analytical skills are important in many different fields. Some examples:

• Being able to break down a problem and identify the various components
• Being able to identify patterns and trends
• Being able to see relationships between different pieces of data
• Being able to make decisions based on data
• Being able to solve complex problems

Creative thinking

Creative thinking in computer science is all about coming up with new and innovative ways to solve problems. It’s about thinking outside the box and coming up with creative solutions that nobody has thought of before.

It’s important to be creative in computer science because it’s a constantly evolving field. If you’re not constantly coming up with new ideas, you’re going to fall behind. Creative thinking is what keeps computer science moving forward.

If you want to be successful in computer science, you need to be creative. It’s not enough to just learn the basics. You need to be constantly thinking of new and better ways to do things. So if you’re not a naturally creative person, don’t worry. Just keep working at it and you’ll get there.

Logical reasoning

Logical reasoning is a process of making deductions based on given information. In computer science, this process is often used to solve problems and to create new algorithms. To reason logically, one must first identify the premises and then use them to reach a valid conclusion.

Practice is one of the best ways to improve your problem solving skills. You can do this by working on coding challenges, participating in online coding contests, or simply trying to solve problems you encounter in your daytoday work. Collaboration is another great way to improve your problem solving skills. When you work with others, you can learn from their experiences and share your own insights. This can help you develop a more well rounded approach to problem solving.

If you're a software developer, congratulations! You have chosen one of the most mentally demanding professions there is. And if you want to be successful, you need to have strong problem solving skills.

My last tip: get comfortable with being stuck! It's normal to feel stuck when you're trying to solve a problem and don't be afraid to ask for help. We all need help from time to time, and there's no shame in admitting that you need help.

So there you have it! Follow these tips and you'll be well on your way to developing strong problem solving skills as a software developer.

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Top comments (25)

Templates let you quickly answer FAQs or store snippets for re-use.

• Work Lead Dev
• Joined Jul 12, 2022

For students , don't underestimate the mathematics. You definitively don't need a master degrees in maths to be a successfull developer BUT , mathematics train your brain to think. All this theorems you probably never used in real world , all thoses equation you resolved in high school helped your logical reasoning.

Finally, to get better at resolving problem you definitely should resolve problem :P The more you resolve , the better you get !

• Joined Mar 14, 2022

I agree with you! I mentioned it, practice and practice.. About maths it is also another alternative

• Location Yenagoa, Nigeria
• Joined Feb 1, 2021

You're right, solving mathematical problems help increase logical reasoning, and I believe that's a major reason we do maths in Computer Science. Working with numbers is a top-tier ability if you want to become a successful "software engineer". Thanks

• Joined Sep 21, 2021

Science shows that there really is no knowledge transfer between unrelated fields. There is essentially no way to get overall better at thinking. You either can relate what you know already to the thing or you can't. In first case it's experience, not brain trained to thinking, in second it depends on if you learned how to learn.

Logical reasoning is a small part that everyone does even without thinking, but it doesn't transfer if you don't use abstractions to relate what you don't know with what you do know.

You can get better at resolving problems overall, but it's a tiny improvement if you don't focus on learning how to solve problems. Solving problems on it's own gives you experience you can use at solving similar things. But it won't help with different problems.

That being said if you can relate math you learned to problems you need to solve it can sometimes make something impossible into something very easy. That on it's own is a good reason to get good at maths. The other one is training on how to read information dense domain texts.

You're right, solving mathematical problems help increase logical reasoning, and I believe that's a major reason we do maths in Computer Science. Working with numbers is a top-tier ability if you want to become a successful "software engineer". Thanks.

• Location India
• Joined Aug 17, 2019

Just like Neil deGrasse Tyson said, It is not about finding the value of x, It is about process for finding the x.

• Location Munich, Germany
• Work Software Development Team Lead
• Joined Oct 4, 2019

I have to disagree, especially on the Maths->Logics path. I found it's a lot easier to go into Logics without Maths, even though the basic principles are similar (since both are just formal languages).

• Education Computer Science
• Work Senior Software Developer at Syskron GmbH
• Joined Jan 30, 2021

What he meant is that math trains your brain. Either way it’s math or not it’s necessary to think structured to solve programming problems. I have seen so many bad code written my mathematics (no offense 😃)

• Email [email protected]
• Location Living in the path between home and office
• Education The school of life and entry points
• Work 📖 Researching and learning everything about API Security and Business Logic
• Joined Jun 22, 2022

• Location Nashville
• Education Bootcamp Grad
• Work Fullstack Developer
• Joined Mar 5, 2017

You have to joke so you don't cry.

• Email [email protected]
• Location Budapest, Hungary
• Education engineering
• Work software developer @ itemis
• Joined Dec 25, 2021

what a cool drawing!

Hahaha @apimike humor is important!

I just said that math was a way , and because it's basically taught in every school of the world (contrary to other knowledge) it's important to embrace it and understand that what you are taught is not how to multiply 2 number but actually how to think.

I realized it way too late, I always hated math when I was young because I wasn't able to figure out the point of what I was taught.

The misconception is , that you have to be good at math to be a good developer. Indeed that completely false (unless your are developing for some specific field).

• Joined Nov 24, 2020

Being a successful software developer, one needs to be open to learning and unlearning. I've learnt and unlearnt and am grateful I did. Most of the time I share with colleagues and friends, I got to find out the knowledge that was most neglected, tends to be a challenge for someone else.

It's a mentally demanding field. It's not just a job, it's a way of life.

• Location Scotland, United Kingdom
• Joined Nov 13, 2020

this is spot on

Thanks for the article, it resonates.

I read most of the comments and can't stay quiet. From my years of experience, math can be a really powerful tool when it comes to solving problems. Ofcourse is only one of the tools out there that can empower a programmer. Another tool I found to be crucial are flow charts. Being able to construct them the right way can help a lot.

e. g. This problem I solved it using only math. And I have used many concepts of math and physics for game development. To understand algebra, arrays, matrixes, vectors, magnituds, forces, inertia, acceleration, etc... Can be crucial on the development of certain softwares. But it all depends the area in which you are coding.

• Email [email protected]
• Joined Apr 23, 2019

a great read

• Location Dhaka, Bangladesh
• Education Dep. of Computer Science & Engineering(CSE), BAIUST
• Work Unemployed

A newbie here. I've a different problem . i.e. I face difficulty while implementing the code but I know the theory & logic behind it. Any suggestion/advice for me anyone ?

Hiiii maybe I will write an article about it ! Nice idea :)

• Location Rwanda
• Joined Jul 30, 2022

I think, being open-mind is a way to simulate our brain when it comes to creative thinking. btw nice article

• Joined Jul 9, 2020

I wonder if there is literature about how to improve and train your problem solving skills. Could you recommend books about this topic?

Personnaly I don't know books on this topic, but if you have got something share it with us :)

• Joined Sep 17, 2021

I have a short, simple rule: be creating and imaginary as much as possible. That's to say whatever others do you can do differently and/or more crazily.

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Problem-Solving. How to Boost Your Ability to Solve Programming Tasks and Challenges

8 Steps to Improve Your Problem-Solving Skills as a Rookie Programmer

1. make sure you understand the problem, 2. break down the problem into smaller ones, 3. plan the solution first, 4. solve programming problems on various preparation platforms.

One of the most popular tech interview platforms with a huge community and over 1650 problems for you to practice. Supports 14 programming languages including Java.

Interview Cake

Another well-known website with all kinds of content for programmers, including programming tasks, articles, tips and lots of interview questions.

HackerEarth

Besides programming problems, this platform allows you to test yourself in mock interviews, as well as to participate in coding competitions and hackathons.

5. Use CodeGym to practice and learn how to approach programming problems

6. play coding games to practice problem-solving while having fun, 7. extend your knowledge of design patterns, algorithms, and data structures, 8. get feedback, 4 major applied programming techniques for problem solving, 1. debugging, 2. code refactoring, 3. using data structures & algorithms, 4. using version control systems.

Expert advice

Problem-Solving Skills for Software Developers: Why & How to Improve

Problem-solving skills go hand-in-hand with software development. Learn some great problem-solving techniques and tips for improvement here!

Software developer jobs today require that you possess excellent problem-solving skills , and for good reason. Unfortunately, there seems to be a sort of talent gap when it comes to this one skill required of all software developers.

Troubleshooting and problem resolution are both informally and formally taught, but you mostly find that software developers have to learn problem-solving skills on their own. This is true for self-taught developers , obviously, but also even for those with software engineering degrees or who’ve graduated from coding boot camps.

This is why it’s necessary to acquaint yourself with the problem-solving process, whether you are a newbie or an experienced developer. In this article, we’ll explore everything you need to know about problem-solving so you can 10x your software development career.

What are Problem-Solving Skills?

As a developer, what do we mean by problem-solving? Let’s attempt a simple definition.

In software development, problem-solving is the process of using theories and research to find solutions to a problem domain, while testing different ideas and applying best practices to achieve a desired result. Problem-solving also has to do with utilizing creativity and logical thought processes to identify problems and resolve them with software.

Becoming a great software developer hinges more on learning algorithms than programming languages or frameworks . And algorithms are simply step-by-step instructions to solve a given problem.

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Why are impeccable problem-solving skills crucial?

Making good use of a computer language can be likened to being a skilled writer. An effective writer must know how to construct sentences and use grammar appropriately. There’s more to writing than just knowing all the words in the dictionary, and that’s how it works for developers, too.

You have different tasks to work on as a software developer, including perhaps designing, coding, and troubleshooting. Much of your time will be spent on identifying problems, spotting and correcting bugs, and making sense of codebases from before you started working there. Being ingenious at problem-solving is essential in creating incredible solutions to issues that arise throughout software development.

To demonstrate ingenuity, let’s consider Google’s autocomplete tool as an example.

The autocomplete tool is built to suggest related terms in the search bar as you type. The idea behind the tool is to reduce more than 200 years of time spent typing daily and to help users save time by up to 25% while typing.

Here’s what had to be done:

• To activate real-time completion of suggestions, the UI experience and JavaScript had to be implemented.
• Next, since users could type just about anything, the autocomplete suggestions had to be compiled into a sensible list dependent on user input.
• Then, Google had to create a back-end sustainability system for this function. Doing this meant massively increasing its infrastructure to accommodate all forms of data query and HTTP requests.
• Finally, the user interface had to be refined by software engineers in order to make sure that every user enjoyed a worthwhile experience. So they employed Google Trends to power the auto-completion tool while using algorithms to take out explicit or offensive predictions in line with Google’s auto-completion policy.

This is just one of Google’s innumerable problem-solving examples, but it’s clear to see that solving problems involves more than just telling a computer to do stuff. It’s about your ability to come up with parameters rightly tailored to target users so they can meet their goals.

So why must developers focus on problem-solving at work?

Software developers work with a wide range of people and departments, and it’s common to discover that some clients and teams find it difficult to define what they want. As a problem solver, it’s up to you to help them identify their needs and communicate their thoughts in an effective way.

Of course, you’ll need time and practice to develop your problem resolution ability. That’s because it’s less about solving problems faster but more about coming up with the best solution . And then you’ll need to deploy that solution.

Read More : Common Interview Questions for Software Developer Jobs (Non-Technical)

Types of problem-solving skills

Now let’s talk about four types of problem-solving skills for developers:

1.  Parallel thinking

As a software developer, parallel thinking is a crucial skill necessary to perform optimally. This makes it possible for you to carry out two tasks that complement each other at the same time (like an optimized form of multitasking skills). Being able to reorder tasks to boost parallel execution can help to improve your output and save valuable time .

2. Dissecting broad and/or complex goals

When it comes to building software, you will need to effectively outline the steps and tasks necessary to achieve your goal. Developers must learn to break large and complex tasks into smaller assignments because this is an important skill that will help you create results with precision.

3. Reimplementing existing solutions

You don’t always need to reinvent the wheel. Part of being an effective software developer comes with being able to use already existing tools before even thinking of creating new solutions. Developing problem-solving skills is very much connected to finding solutions that already exist and reusing them.

4. Abstraction

Keep in mind that goals tend to evolve. So if your client comes up with new ideas, that will mean changing your design goals and reordering your tasks. A good programmer must learn to create solutions in such a way that does not require a complete redesign from scratch.

You also have to become adept at abstracting problems so that your solutions can get them resolved so long as they aren’t entirely different from the original issue. You don’t necessarily have to abstract every aspect to avoid more complications being created. This calls for balance by abstracting only where necessary without making narrow decisions.

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4 Important Tips & Strategies for Improving Problem-Solving Skills

To keep your problem-solving skills and techniques from growing weaker over time, you need to exercise them non-stop. As they say: practice makes perfect!

To train the problem-solving side of your brain, these four tips and strategies can help you improve your abilities:

1. Make problem-solving a part of your life

Never restrict yourself to working on problems only during work hours. Don’t make it a chore, but, instead, do things that make problem-solving look fun. The game of chess, solving puzzles, and playing video games that compel you to think critically will help strengthen your problem-solving skills, and you can tell your significant other you are advancing your career! 🙂

When you come to a complex problem in your life, whether it’s budgeting for a home or renovating the downstairs bathroom, approach it both creatively and critically. Ask yourself: What would a great software engineer do in this situation?

2. Use different platforms to solve problems

Proffer solutions to a set of problems without restricting yourself to one platform. Using different platforms and tools regularly helps make sure you become flexible as a problem-solver. And it makes sense, because there really is no universal solution for the different problems that pop up in your line of work. Trying out different platforms to solve different problems helps you to keep an open mind and enables you to test out different techniques when looking to find solutions.

Read More : 12 Common Mistakes Keeping You From Landing Your First Developer Job

3. Be open to assistance from external sources

Part of being a good software developer comes with being able to ask for help and also accept all forms of feedback. You might need a different opinion or a new set of eyes to help find the most fitting solution to some problems. It makes sense to view building problem-solving skills as more of a team effort rather than a personal journey.

Have an open mind and heart to function not only as an individual but also as a collective. It’s a utopian working environment where everyone supports each other to become better versions of themselves. So if you come across an issue that keeps you stuck, get help! You may find someone who has a more refined framework or method you never knew existed or would have thought of using. You could then learn from them and add their solution to your toolkit.

Get feedback often, as well. This could be the catalyst to making improvements to your processes and evolving them into something truly refined.

4. Tackle new problems using lessons from past solutions

As you practice and finesse your ability to identify problems and find solutions, you’ll begin to notice patterns. It’s more like developing your toolbox armed with a wide range of solutions that have proved useful in the past. So when problems emerge, you will notice how easy it is to take some of those old solutions and apply them to the new problem.

The more you attempt to apply creativity in solving problems, the more you grow your skills. In the long run, that will help you find the right solutions faster and apply them to a wide range of problems more naturally. It’s all about improving the effectiveness and efficiency with which you tackle new problems while applying only the best possible solutions.

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3 Complementary Skills to Improve to Become a Good Problem Solver

Developing software is mostly about problem-solving at the very core before even writing your first lines of code. You have to identify problems that can be solved using software. Then you have to go on to understand how people try to solve such problems in real life.

It’s up to you to come up with a framework that allows you to take both the problem and the solution and convert them into computer code. And you have to do this in such a way that makes the software even more efficient and effective than a human.

While going through this process, developers also have to handle other problems such as deadline deliveries, checking for bugs and fixing them, and collaborate across teams. So, supporting skills must not be overlooked.

Software developers must build interpersonal skills and collaboration skills . Being able to empathize, accept feedback, handle criticism, listen intently, and show respect for others are all important characteristics and abilities necessary for teamwork, and, thus, necessary for solving problems on the job.

Read More : 5 Ways to Stand Out & Get Noticed in Your Current Development Job

Communication

No one is an island, and that’s true when you consider how software engineers work. Building software requires keeping up with clients and teammates and other departments. You can’t afford to be a Lone Ranger, at least not 100% of the time, and that’s why employers always look for good communication skills.

Being a good software developer also involves how well you can break down very complex concepts to laypeople. You want to be the kind of person who fixes a problem and is able to explain how you were able to do it. It’s all about your ability to be clear and articulate about every aspect of your work. And you want to be able to communicate not just verbally but also in written form.

To build your communication skills as a developer, you can learn from more experienced people and observe how they interact with their clients. And, don’t forget, with more and more companies becoming global enterprises and going remote, it’s important to brush up on your intercultural communication skills , as well.

Logical thinking

The difference between elite software developers and average ones is often said to be logical thinking. The ability to process thoughts logically is important, because you’ll often spend most of your time finding and fixing bugs rather than writing code.

Problems can show up from just about anywhere, even from what seems to be the most insignificant errors. So, your ability to detect software issues and solve these problems using deductive thought processes is a vital ingredient to your success as a software developer.

Read More : Questions to Ask at Interviews for Software Engineering Jobs

Problem-Solving Stages & Practices

There are countless problem-solving processes and various schools of thought regarding the best way to approach problems whenever they arise. To solve that problem, we’ve pooled some of these frameworks together to come up with a comprehensive approach to problem-solving.

Step 1 – Define the problem

You have to first start with problem identification. Knowing what you are dealing with is important, because you don’t want to risk spending valuable time applying wrong solutions. Avoid making automatic assumptions. Even when the symptoms look familiar, you want to investigate properly because such signs could be pointing to something else entirely.

Problems in software development come in different sizes and scopes. You could be having trouble getting some aspects of the product to respond in the desired way. Or maybe you’re having issues trying to decipher a codebase section where you can no longer communicate with the original developers. Sometimes, the problem could come in the form of an unfamiliar error message and you’re at loss.

Once you’re able to define the problem, make sure to document it.

Step 2 – Analyze the problem

Now it’s time to carry out problem analysis . Before deciding what problem resolution methods to adopt, it’s necessary to find out all there is to the issue, which builds on our first step. This will make it easier to come up with ideas and solutions later on.

Problem analysis isn’t always a walk in the park. There are times when the problem involves a very small mistake such as failing to import a package correctly or a small syntax error. Other times, however, it could be such a huge error, like the entire program acting differently than what you want. There might be no alarms or blinking red lights to tell you what the exact problem is.

If you encounter such situations, you can find answers by articulating the problem. Document what you intend to do, what you’ve done, the original intention for the program, and where you currently are. Communication comes in handy here, of course, not just in your documentation, but also in how you relay it to your teammates.

Read More : Got a Busy Developer Schedule? Here’s How to Keep Learning & Make Time

Step 3 – Brainstorm

This step has to do with generating ideas, and you can benefit from discussing the problem with a team and then coming up with ways to get it fixed. Keep in mind that problem-solving at work involves interacting with a diverse group of people where the individuals have unique skill sets and experiences.

Many developers tend to neglect the previous steps and rush straight into brainstorming. That’s definitely not a good way to go about problem-solving. The idea is not to skip the important steps in the process.

Once you get to the point where ideas need to be generated, do not discard any, because this step relies on a wide range of ideas. Only after gathering as many perspectives as possible should you then begin reviewing and narrowing down to the best possible solution.

Step 4 – Make a decision

At this point, all viable solutions have to be analyzed before selecting the most appropriate one to implement. Picking the best possible solution depends on its ability to meet certain criteria. It must be suitable, feasible, and then acceptable.

What it means is that the solution must be able to get the problem solved. It should also be easy to see how such a solution fits into the equation. And then every member of the team involved in the brainstorming process has to unanimously accept the solution.

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Step 5 – Implement

After identifying and choosing the solution, the next logical step is to plan out the implementation process and then execute it. Coming up with a detailed plan is crucial if the solution is to be a success.

Now this plan must detail all the necessary steps required to implement the solution. It will also explain the length of time and stages of work required. Once all of that is put in place, you can then move forward with the execution. The idea is not just to execute a solution but to do it the right way.

Implementation using automated tests can help to keep unexpected issues from arising in the future. Some other problem-solving practices or approaches begin the process with this step. So, whenever any changes are made to the project, tests asserting that the changes will perform as required will be written first before the changes are then made.

Step 6 – Evaluate

No problem-solving process can be deemed comprehensive enough if there is no room for evaluation. Whatever the solution may be, it has to undergo strict evaluation in order to see how it performs. That will also help determine whether the problem still exists and the extent to which such an issue keeps recurring.

In the event that the problem persists despite the implementation of a detailed plan, then the developer and team may even have to restart the problem-solving process. However discouraging that may sound, at least you’ll have caught it early enough. And, this also proves the process worked.

Read More : How to Become a Software Engineer: Education, Steps & Tips for Success

Final Thoughts

Developing problem-solving skills is quite necessary for software developers. To be a successful problem solver, you will need lots of years down the line to practice what you study.

Always remember that you are a problem solver first before anything else. There is more to building software than just understanding the tech behind it and writing lines of code. It’s all about improving your ability to identify problems and find solutions, and that will need lots of experience on your part.

Never shy away from problems, but learn to think critically and logically in any situation. By applying the six-step strategy for problem-solving at work discussed in this piece, you will be more equipped to come up with the most effective and efficient solutions.

We hope you enjoyed reading our guide on how to solve a problem as a software developer and ways to improve skills as a problem solver! If you have any questions, feedback, or other great problem-solving techniques or methods, let us know in the comments below 🙂

The Arc team provides articles and expert advice on tech careers and remote work. From helping beginners land their first junior role to supporting remote workers facing challenges at home or guiding mid-level professionals toward leadership, Arc covers it all!

Further reading

Here Are 43 of the Best Online Developer Communities to Join in 2024

Ready to Take On a Senior Role or Leadership Position as a Developer?

Time Management Skills for Developers: Best Tips, Tools, and Strategies

Software Engineer Degree: Pros, Cons & Alternatives

Key Analytical Skills for Developers (& How to Continually Improve Them)

Here’s When You Can TRULY Call Yourself a “Senior” Software Developer

• University of Denver Boot Camps

18 Skills All Programmers Need to Have

Are you an aspiring programmer, or perhaps just interested in learning more about the programming field? Read on to learn more about the hard and soft skills that programmers need to succeed.

Technology has become the backbone of our everyday lives, and programmers are needed to keep moving that technology forward. The options are endless: an aspiring programmer can bring the next life-changing smartphone app to life, create new worlds in gaming, or craft the way millions of people across the globe interact and communicate online. These are just a few of the ways programmers impact the world around them, but all programmers have certain things in common — the in-demand hard and soft skills that propel their career success.

Hard Skills

• Data structures and algorithms
• Database and SQL
• Object-oriented programming (OOP) languages
• Integrated development environments (IDEs)
• Cloud computing
• Web development
• Text editors
• Git version control

Soft Skills

• Communication (verbal and written)
• Teamwork and conflict resolution
• Problem solving
• Adaptability
• Accountability
• Time management

9 Hard Skills Programmers Need

1. Data Structures and Algorithms

Many programmers think that data structures and algorithms (DSAs) are just something you have to “get through” in school, but will never need in real life. However, they’re surprised when so many interviews include DSA questions. There are several reasons companies are interested in a prospective employee’s DSA knowledge, and why programmers should be interested in it too.

For many companies, such as Meta, Google, Microsoft, and Amazon, writing code is just the final step in a long process. The majority of a programmer’s time is actually spent considering the best way to approach a project, including the best data structures and optimal algorithms to employ. These decisions have a real impact on the company’s resource usage and profitability, so it’s no surprise that DSAs figure prominently in their interview process. And, even for companies outside of Silicon Valley, these questions are important because they demonstrate a programmer’s foundational knowledge and problem solving abilities.

Once a programmer has the position, DSAs still play a role in day-to-day work. Specifically, data structures are a particular way of organizing data so that it can be used most effectively, and there are many to choose from . One of the most commonly used data structures is an array , which holds and indexes items of the same data type such as integers. Additional types of data structures include linked lists , which organize data into linear, sequentially-linked order; and stacks , which allow programmers to access recently placed items first, as if they were picking up the first book in a pile. 

Algorithms , meanwhile, are a set of instructions programmers give to computers to solve a problem, much like the recipe one might give a cook. These step-by-step guidelines can perform a variety of tasks, including searching and sorting data in a way that is ordered and makes sense.

In addition, many startups, as well as FAANG employers , look for programmers who possess the agility to scale programs and innovate through the use of DSAs.

2. Database and SQL

One of the basic expectations of any programmer is that they are familiar with core database concepts. This is because data is the fuel companies run on, and it proliferates almost every aspect of every project. 

While there are many languages used to work with databases, the most common is Structured Query Language (SQL — pronounced “sequel”). Though SQL was developed in the 1980s, it is still the standard language used to communicate with relational databases and is considered critical for modern programmers. In recent years, SQL has been heavily used by PC databases because it facilitates access to distributed databases (e.g., those spread out over multiple computer systems); allowing several local users to access the same network simultaneously. SQL also enables easy storage and organization of data in relational databases (e.g., databases where tables are related to one another through common data). 

If you’re interested in gaining SQL experience, it may be helpful to practice with MySQL . Referred to as a relational database management system (RDMS), this open-source software is based on SQL and many aspiring coders use it to work on developing their own systems, applications, and websites for free.

NoSQL , on the other hand, is a database management system (DBMS) that stores and accesses data using key-values, rather than relationally, which offers some additional flexibility. One example of a NoSQL database is MongoDB , an open-source program which can be used for high-volume document data storage, and deals with document structure variations nicely.

Of course, there are many more systems and software packages to learn when mastering databases, but having a strong foundation in database concepts and SQL is an important first step for all programmers.

3. Object-oriented programming (OOP) languages

OOP languages support a way of programming (sometimes called a paradigm) that relies on classes and objects. Think of classes like groups of similar things, such as fruits, with objects that tell us more about individual items in that class, such as apples. This programming paradigm is important because it allows programmers to easily reuse complex code across programs. For example, if I say “my apple,” it isn’t necessary for me to tell you all the attributes of my apple (i.e., red, round, grew on a tree, belongs to me). Similarly, by using an object (myapple) from a class (fruit), a programmer can easily communicate instructions or information across multiple programs, enabling more effective and efficient coding as a result.

For this reason, OOP languages such as Java , C++ , Python , and Perl are important for programmers, and they need to have at least one in their skill set.

In addition, such languages as JavaScript and PHP pair well with OOP languages to further enhance efficiencies and functionality.

4. Integrated Development Environments (IDEs)

Combining a variety of developer tools through a single graphic user interface (GUI), IDEs are a workbench for programmers where all the tools they need are laid out and ready for them to use — kind of like a workbench with a saw, drill, nails, and a hammer if you were planning to build a birdhouse.

IDEs are valuable in that by learning one IDE, a developer can become familiar with a variety of tools that work synergistically, rather than learning each tool separately and pulling together the right tools for each coding task. In addition, because all the tools are available through one GUI, the programmer doesn’t have to spend time switching between applications.

It’s important to note that IDEs are language-specific, meaning that an IDE may be designed to work with one or more programming languages. Here is a quick rundown of some of the more popular IDEs and the languages they work with (listed alphabetically).

• AWS Cloud9 : Supports over 40 languages , including JavaScript, Python, PHP, Ruby, Go, and C++ 
• Code:: Blocks : Supports C and C++
• Eclipse : Supports Java
• Eclipse Theia : Supports over 60 languages, including JavaScript, Java, and Python
• GNAT Studio : Supports Ada, SPARK, C, C++, and Python
• IntelliJ IDEA : Supports Java, but understands many other programming languages, including Groovy, Kotlin, Scala, JavaScript, TypeScript, and SQL
• NetBeans : Supports several languages including, Java, PHP, JavaFX, and JavaScript
• PyCharm : Supports major Python frameworks such as Flask, Django, web2py, Pyramid, and Google App Engine 
• SlickEdit : Supports over 70 languages , including C++, Java, HTML, PHP, JavaScript, Python, Perl, and Ruby
• Xcode : supports Swift, but allows coding in C, C++, Objective-C, Objective-C++, Java, Applescript, Python, React.js, and Ruby
• Visual Studio : Supports C, C++, C++/CLI, Visual Basic .NET, C#, F#, JavaScript, TypeScript, XML, XSLT, HTML, and CSS
• Visual Studio Code : Supports many languages including, C++, C#, CSS, Dart, Dockerfile, F#, Go, HTML, Java, JavaScript, JSON, Julia, PHP, Python, SCSS, T-SQL, and TypeScript.

It’s also important to remember that while cloud-based IDEs aren’t constrained by the programmer’s operating system, this is a use constraint for IDEs that aren’t cloud-native.

5. Cloud computing

Cloud computing is experiencing explosive growth, as cloud developers are needed for all businesses who wish to migrate their environments, storage, and digital assets to the cloud. In fact, according to LogicMonitor , 87% of global IT decision makers agree that the COVID-19 pandemic has accelerated cloud migration for most organizations. In addition, once migrated, businesses will need programmers familiar with the technology necessary to work effectively with cloud-native applications. And, as businesses rely more heavily on data science, machine learning, and artificial intelligence, work in the cloud becomes even more important since algorithms and models consume significant resources. The result of these business transitions and needs is that cloud engineers and developers, as well as cloud-savvy programmers, are in high demand.

The good news is that many of the languages needed for cloud computing are already top languages for programmers, including:

In addition, it’s a good idea for programmers to familiarize themselves with cloud platforms, such as: 

• Amazon Web Services (AWS)
• Microsoft Azure
• Google Cloud Platform (GCP)

Even focusing on just one, to learn key functionality, will help you gain a better understanding of how the others work, adding value to your skill set.

6. Web development

Many professionals consider web development a subset, or specialization of programming. Therefore, it only makes sense for those who plan on working in web development to learn the associated languages and tech, right? Well, maybe not.

Certainly, it goes without saying that programmers who plan to work in web development need to have a strong background in the core tools. Some of these tools include:

• HTML/CSS : HyperText Markup Language (HTML) and Cascading Style Sheets (CSS) are both basic coding languages — often, they are the first two that web developers learn. HTML helps organize the content and structure of a web page, while CSS determines its style and presentation.
• JavaScript : JavaScript is most commonly used for front end development, though it is sometimes used for back end development as well. As one writer for Mozilla explains, “Every time a web page does more than just sit there and display static information for you to look at — displaying timely content updates, interactive maps, animated 2D/3D graphics, scrolling video jukeboxes, etc. — you can bet that JavaScript is probably involved.”
• API : An API (Application Programming Interface) is the part of a remote server that receives a user’s requests and sends responses to the rest of the server and website. Programmers set up a website’s API to complete user requests and connect them to an external server without leaving the original site. Having familiarity with APIs ranks high on any web development skills list because it helps improve a customer’s experience on websites.
• PHP : PHP (Hypertext Preprocessor) is a highly accessible, general-purpose scripting language that can be easily embedded into HTML to accentuate front end programming efforts. Unlike JavaScript, PHP is executed entirely on the server-side , rather than the client-side .

With that said, even programmers who don’t plan on working in web development can benefit from understanding the basics. For example, many projects that programmers work on include a web component. With some foundational knowledge of web development concepts, concerns, and constraints, programmers are better able to understand how data will be collected and used, what functionality may be required at a later date, and how enterprise systems may be impacted in the future. Certainly, this knowledge will help programmers have a more comprehensive understanding of not only the best way to develop their own portion of the project, but also how to offer additional solutions to those whose expertise is focused on client-side functionality.

7. Containers

Containers are preconfigured environments that package code and other dependencies an application needs to run, without the need for downloads to a physical computer. Unlike traditional methods where code is developed in a specific computing environment and transferred to a new location resulting in bugs (i.e., virtual machines ), containers bundle the application code with related configuration files, libraries, and dependencies which minimizes the potential for bugs. In addition, because the operating system (OS) files are included, containers virtualize the operating system and the application can run anywhere. As a result, programmers are able to develop and deploy applications in a faster and more secure manner. 

A basic example of container usage in education is a teacher preparing for their Python programming class . By using a container, they are able to grab the necessary application, libraries, and dependencies (including the OS), making it easier to prepare while ensuring learners will have the necessary access to learn Python from anywhere. 

Some of the most popular container management software includes:

• AWS Fargate
• Google Kubernetes Engine
• Linux Containers
• Microsoft Azure Container Services

8. Text editors

Text editors are programs that enable the opening, viewing, and editing of plain text files. Because text editors do not add formatting to text, like word processing programs do, programmers can use text editors to easily write and edit in programming and markup languages. In addition, text editors help programmers create documentation files and maintain configuration files.

Some of the most frequently used text editors include:

• Visual Studio Code
• Sublime Text

Git is a version control system that allows programmers to manage and track changes to source code throughout the development process. It makes it easy to correct any errors that may occur because every version is saved and can be recalled on demand. And, using version control encourages programmers to innovate through trial and error, as they don’t have to worry about losing previous coding attempts.

Git is the most widely used version control system among employers, so it’s important to be well versed and ready to use it when approaching a career in programming.

9 Soft Skills Programmers Need

Soft skills are different from technical (hard) skills in that they are a combination of personal attributes and interpersonal skills that enable professionals to work more effectively and more harmoniously with others.

Here are a few of the most valuable programmer soft skills:

1.  Communication : The ability to explain ideas or work methods clearly, ask and answer questions productively in a group setting, and help reduce conflict through respectful dialog is important to succeeding in coding.

2. Teamwork and conflict resolution : Constructively sharing ideas, and supporting others’ ideas in turn, is a key element in team success. But would it surprise you to know that consistent agreement isn’t always beneficial? In fact, it’s actually the differing backgrounds and ideas each team member brings to the table that helps a team yield a better result than individual outcomes. Specifically, it’s how differing ideas are discussed, tested, and applied (as a group) to reach a common goal that makes for great collaboration and outstanding results.

3.  Problem Solving : Problem-solving skills are just as important for programmers as technical ability. As Dominique Simoneau-Ritchie, the Director of Engineering at Lever, wrote for HackerNoon , “The more senior you are, the more you’ll be expected to take on complex, poorly defined problems, often with very little context. The true secret to increasing your impact is learning how to tackle a problem of any size and breaking it into manageable pieces that you can successfully solve.”

4.  Empathy : The ability to truly understand the thoughts, feelings, and experiences of another, without judgment, is a vital skill for programmers. Empathy for program end users will result in software with higher satisfaction levels and better user acceptance. And, empathy for team members will not only enhance team connections, but will also foster a culture of trust and mutual assistance. It’s no wonder that so many companies rank empathy as a top 5 soft skill.

5.  Patience : It’s a virtue — but not for the reason you might think. Patient people tend to be less stressed when dealing with obstacles. Studies have shown that cortisol (a stress hormone) negatively impacts cognitive performance, perception, and organizational skills , which are critical to successful coding. As a result, patience (or a lack thereof) can significantly impact project outcomes and coding quality.

6.  Curiosity : “The best developers tend to be naturally curious people who love to learn,” CodeFights CEO Tigran Sloyan writes for Tech Beacon . This skill is likely what drives their ongoing exploration, iterative testing of various ideas, and actively seeking new ways to improve, which are key drivers in a programmer’s growth and success.

7.  Adaptability : If there is one thing that’s constant in programming, it’s that everything changes. Technology evolves, new versions of software release, requirements change, and clients’ needs multiply. For this reason, it is imperative that programmers be adaptable and resilient when it comes to dealing with change and occasional setbacks. Having the ability to calmly assess what needs to be done and adapt is key to success in this field.

8.  Accountability : Many wrongly associate accountability with “blame,” but when used effectively, it is actually something quite different. Accountability begins before a task is assigned or a single line of code is written — it is simply the building of trust between teammates through public discussion of direction, design, and timelines. Specifically, that trust translates into each teammate committing to doing their best work, quickly letting the team know if there is an unanticipated obstacle, and knowing that teammates will work together to address the obstacle in the best way possible. By working transparently and setting collective goals and timelines, accountability is a support — not a sword. Professionals can demonstrate this skill by truly supporting their teammates in a mutual fashion to achieve their overall goals. In fact, the popularity of agile methodology through Scrum project management is an excellent example of the correct application of accountability.

9.  Time management : Whether it’s a client deadline, a team deliverable, or available budget hours, programmers must be able to manage their time effectively. This includes everything from estimating time to complete a task, helping the team agree on deliverable timelines, or completing individual tasks on time. It also includes knowing when you are running behind and asking a team member for help. Making time management a priority not only makes you more productive as an individual, but it also makes you a better, more reliable team member. Consequently, this is why employers consider this soft skill so important.

Becoming a Programmer

Career prospects for programmers look bright. According to CareerOneStop , an expected 9,700 U.S. job openings in programming are anticipated each year through 2030 with a median salary of $89,190. 

Even better, in the Denver, Colorado, area, programmers can anticipate a median salary of $91,550 and companies such as Meta (formerly Facebook), Intel, Honeywell, Lockheed Martin, and Colorado State University are all actively looking for programmers ,  

To take advantage of these great opportunities, you’ll need to acquire the knowledge and skills programmers need to be successful. The good news is that there are several options to choose from — a traditional degree, independent study, or a coding boot camp.

Obtaining a degree in computer science is always a popular choice for those interested in pursuing a career in programming. Taking three to four years, these degrees allow learners to explore the theoretical aspects of programming, while pursuing adjacent subject matter and additional interests. Given the significant time and financial commitment required to pursue this type of degree, it’s important to be sure it’s the right path for you. Some learners consider taking an introductory coding course, boot camp, or conducting independent study prior to committing to a degree program.

For those who lack the time or financial resources required to pursue a traditional degree, or want to explore their options before making a commitment, independent study can be the right choice. Also, many who prefer a slower tempo and self-directed approach pursue independent study of a programming language to enhance their existing skill set. Common options include:

• MIT OpenCourseWare  
• The Odin Project

Interestingly, many who begin their coding journey in independent study soon progress to enrolling in a coding boot camp. Boot camps are a great place to gain in-demand skills in a practical environment where learners apply their newfound knowledge on real-world projects that will eventually populate their professional portfolios. 

Regardless of the educational path you choose, the right combination of in-demand hard and soft skills will fuel your progress toward a rewarding career in programming.

Are you ready to take the next step and gain the in-demand technical skills needed for a successful web development career? Consider University of Denver Coding Boot Camp — learn critical programming languages, put them into practice on real-world projects to populate your professional portfolio, and hone your soft skills working collaboratively with your classmates. Start your future in programming today! 

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The 10 Most Popular Coding Challenge Websites

By Daniel Borowski

A great way to improve your skills when learning to code is by solving coding challenges. Solving different types of challenges and puzzles can help you become a better problem solver, learn the intricacies of a programming language, prepare for job interviews, learn new algorithms, and more.

Below is a list of some popular coding challenge websites with a short description of what each one offers.

1. TopCoder

TopCoder is one of the original platforms for competitive programming online. It provides a list of algorithmic challenges from the past that you can complete on your own directly online using their code editor. Their popular Single Round Matches are offered a few times per month at a specific time where you compete against others to solve challenges the fastest with the best score.

The top ranked users on TopCoder are very good competitive programmers and regularly compete in programming competitions. The top ranked user maintains his own blog titled Algorithms weekly by Petr Mitrichev where he writes about coding competitions, algorithms, math, and more.

2. Coderbyte

Coderbyte provides 200+ coding challenges you can solve directly online in one of 10 programming languages (check out this example ). The challenges range from easy (finding the largest word in a string) to hard (print the maximum cardinality matching of a graph).

They also provide a collection of algorithm tutorials , introductory videos, and interview preparation courses . Unlike HackerRank and other similar websites, you are able to view the solutions other users provide for any challenge aside from the official solutions posted by Coderbyte.

3. Project Euler

Project Euler provides a large collection of challenges in the domain of computer science and mathematics. The challenges typically involve writing a small program to figure out the solution to a clever mathematical formula or equation, such as finding the sum of digits of all numbers preceding each number in a series.

You cannot directly code on the website in an editor, so you would need to write a solution on your own computer and then provide the solution on their website.

4. HackerRank

HackerRank provides challenges for several different domains such as Algorithms, Mathematics, SQL, Functional Programming, AI, and more. You can solve all the challenge directly online (check out this example ).

They provide a discussion and leaderboard for every challenge, and most challenges come with an editorial that explains more about the challenge and how to approach it to come up with a solution.

Currently, if you don't solve the problem, then you can't see the solution of others. If you also try to check the editorial before solving the problem, then you won't get the point for solving the problem at all.

As an example, here I haven't solved the problem, and I am trying to check others' submissions:

And here, I haven't solved the problem, and I am trying to check the editorial:

HackerRank also provides the ability for users to submit applications and apply to jobs by solving company-sponsored coding challenges.

5. CodeChef

CodeChef is an Indian-based competitive programming website that provides hundreds of challenges. You are able to write code in their online editor and view a collections of challenges that are separated into different categories depending on your skill level (check out this example ). They have a large community of coders that contribute to the forums, write tutorials , and take part in CodeChef’s coding competitions .

6. Exercism.io

Exercism is a coding challenge website that offers 3100+ challenges spanning 52 different programming languages. After picking a language that you'd like to master, you tackle the coding challenges right on your machine (Exercism has their own command line interface that you can download from GitHub).

It is a bit different from other challenge websites, however, because you work with a mentor after completing each challenge. The mentor reviews your answers online and helps you improve them if needed. Once your answers have been approved and submitted, you unlock more challenges.

7. Codewars

Codewars provides a large collection of coding challenges submitted and edited by their own community. You can solve the challenges directly online in their editor in one of several languages. You can view a discussion for each challenges as well as user solutions.

8. LeetCode

LeetCode is a popular Online Judge that provides a list of 190+ challenges that can help you prepare for technical job interviews. You can solve the challenges directly online in one of 9 programming languages. You are not able to view other users' solutions, but you are provided statistics for your own solutions such as how fast your code ran when compared to other users' code.

They also have a Mock Interview section that is specifically for job interview preparation, they host their own coding contests , and they have a section for articles to help you better understand certain problems.

Sphere Online Judge (SPOJ) is an online judge that provides over 20k coding challenges. You are able to submit your code in an online editor . SPOJ also hosts their own contests and has an area for users to discuss coding challenges. They do not currently provide any official solutions or editorials like some other websites do, though.

10. CodinGame

CodinGame is a bit different from the other websites, because instead of simply solving coding challenges in an editor, you actually take part in writing the code for games that you play directly online. You can see a list of games currently offered here and an example of one here . The game comes with a problem description, test cases, and an editor where you can write your code in one of 20+ programming languages.

Although this website is different than typical competitive programming websites such as the ones mentioned above, it is still popular amongst programmers who enjoy solving challenges and taking part in contests.

This list was based on a few things: my own experiences using the websites, some Google searches , Quora posts , and articles such as this one and this one . I also frequented some forums and subreddits such as r/learnprogramming to see what websites were usually recommended by the users there. Disclaimer: I work at Coderbyte which is one of the websites mentioned above.

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10 Steps to Solving a Programming Problem

Tips for new developers staring at a blank screen, unsure of where to start.

Valinda Chan

Some of the feedback I hear from new developers working on a programming problem revolves around uncertainty of where to start. You understand the problem, the logic, basics of the syntax, etc. If you see someone else’s code or have someone to guide you, you can follow along. But maybe you feel uncertain about doing it yourself and have trouble turning your thoughts into code at first even though you understand the syntax or logic. Here’s my process and some tips to tackling a sample problem that hopefully some of you may find helpful in your journey.

1. Read the problem at least three times (or however many makes you feel comfortable)

You can’t solve a problem you don’t understand. There is a difference between the problem and the problem you think you are solving. It’s easy to start reading the first few lines in a problem and assume the rest of it because it’s similar to something you’ve seen in the past. If you are making even a popular game like Hangman, be sure to read through any rules even if you’ve played it before. I once was asked to make a game like Hangman that I realized was “Evil Hangman” only after I read through the instructions (it was a trick!).

Sometimes I’ll even try explaining the problem to a friend and see if her understanding of my explanation matches the problem I am tasked with. You don’t want to find out halfway through that you misunderstood the problem. Taking extra time in the beginning is worth it. The better you understand the problem, the easier it will be to solve it.

Let’s pretend we are creating a simple function selectEvenNumbers that will take in an array of numbers and return an array evenNumbers of only even numbers. If there are no even numbers, return the empty array evenNumbers .

Here are some questions that run through my mind:

• How can a computer tell what is an even number? Divide that number by 2 and see if its remainder is 0.
• What am I passing into this function? An array
• What will that array contain? One or more numbers
• What are the data types of the elements in the array? Numbers
• What is the goal of this function? What am I returning at the end of this function? The goal is to take all the even numbers and return them in an array. If there are no even numbers, return an empty array.

2. Work through the problem manually with at least three sets of sample data

Take out a piece of paper and work through the problem manually. Think of at least three sets of sample data you can use. Consider corner and edge cases as well.

Corner case : a problem or situation that occurs outside of normal operating parameters, specifically when multiple environmental variables or conditions are simultaneously at extreme levels, even though each parameter is within the specified range for that parameter. Edge case : problem or situation that occurs only at an extreme (maximum or minimum) operating parameter

For example, below are some sets of sample data to use:

When you are first starting out, it is easy to gloss over the steps. Because your brain may already be familiar with even numbers, you may just look at a sample set of data and pull out numbers like 2 , 4 , 6 and so forth in the array without fully being aware of each and every step your brain is taking to solve it. If this is challenging, try using large sets of data as it will override your brain’s ability to naturally solve the problem just by looking at it. That helps you work through the real algorithm.

Let’s go through the first array [1]

• Look at the only element in the array [1]
• Decide if it is even. It is not
• Notice that there are no more elements in this array
• Determine there are no even numbers in this provided array
• Return an empty array

Let’s go through the array [1, 2]

• Look at the first element in array [1, 2]
• Look at the next element in the array
• Decide if it is even. It is even
• Make an array evenNumbers and add 2 to this array
• Return the array evenNumbers which is [2]

I go through this a few more times. Notice how the steps I wrote down for [1] varies slightly from [1, 2] . That is why I try to go through a couple of different sets. I have some sets with just one element, some with floats instead of just integers, some with multiple digits in an element, and some with negatives just to be safe.

3. Simplify and optimize your steps

Look for patterns and see if there’s anything you can generalize. See if you can reduce any steps or if you are repeating any steps.

• Create a function selectEvenNumbers
• Create a new empty array evenNumbers where I store even numbers, if any
• Go through each element in the array [1, 2]
• Find the first element
• Decide if it is even by seeing if it is divisible by 2. If it is even, I add that to evenNumbers
• Find the next element
• Repeat step #4
• Repeat step #5 and #4 until there are no more elements in this array
• Return the array evenNumbers , regardless of whether it has anything in it

This approach may remind you of Mathematical Induction in that you:

• Show it is true for n = 1 , n = 2 , ...
• Suppose it is true for n = k
• Prove it is true for n = k + 1

4. Write pseudocode

Even after you’ve worked out general steps, writing out pseudocode that you can translate into code will help with defining the structure of your code and make coding a lot easier. Write pseudocode line by line. You can do this either on paper or as comments in your code editor. If you’re starting out and find blank screens to be daunting or distracting, I recommend doing it on paper.

Pseudocode generally does not actually have specific rules in particular but sometimes, I might end up including some syntax from a language just because I am familiar enough with an aspect of the programming language. Don’t get caught up with the syntax. Focus on the logic and steps.

For our problem, there are many different ways to do this. For example, you can use filter but for the sake of keeping this example as easy to follow along as possible, we will use a basic for loop for now (but we will use filter later when we refactor our code).

Here is an example of pseudocode that has more words:

Here is an example of pseudocode that has fewer words:

Either way is fine as long as you are writing it out line-by-line and understand the logic on each line.

Refer back to the problem to make sure you are on track.

5. Translate pseudocode into code and debug

When you have your pseudocode ready, translate each line into real code in the language you are working on. We will use JavaScript for this example.

If you wrote it out on paper, type this up as comments in your code editor. Then replace each line in your pseudocode.

Then I call the function and give it some sample sets of data we used earlier. I use them to see if my code returns the results I want. You can also write tests to check if the actual output is equal to the expected output.

I generally use console.log() after each variable or line or so. This helps me check if the values and code are behaving as expected before I move on . By doing this, I catch any issues before I get too far. Below is an example of what values I would check when I am first starting out. I do this throughout my code as I type it out.

After working though each line of my pseudocode, below is what we end up with. // is what the line was in pseudocode. Text that is bolded is the actual code in JavaScript.

I get rid of the pseudocode to avoid confusion.

Sometimes new developers will get hung up with the syntax that it becomes difficult to move forward. Remember that syntax will come more naturally over time and there is no shame in referencing material for the correct syntax later on when coding.

6. Simplify and optimize your code

You’ve probably noticed by now that simplifying and optimizing are recurring themes.

“Simplicity is prerequisite for reliability.” — Edsger W. Dijkstra, Dutch computer scientist and early pioneer in many research areas of computing science

In this example, one way of optimizing it would be to filter out items from an array by returning a new array using filter . This way, we don’t have to define another variable evenNumbers because filter will return a new array with copies of elements that match the filter. This will not change the original array. We also don’t need to use a for loop with this approach. filter will go through each item, return either true , to have that element in the array, or false to skip it.

Simplifying and optimizing your code may require you to iterate a few times, identifying ways to further simplify and optimize code.

Here are some questions to keep in mind:

• What are your goals for simplifying and optimizing? The goals will depend on your team’s style or your personal preference. Are you trying to condense the code as much as possible? Is the goal to make it the code more readable? If that’s the case, you may prefer taking that extra line to define the variable or compute something rather than trying to define and compute all in one line.
• How else can you make the code more readable?
• Are there any more extra steps you can take out?
• Are there any variables or functions you ended up not even needing or using?
• Are you repeating some steps a lot? See if you can define in another function.
• Are there better ways to handle edge cases?

“Programs must be written for people to read, and only incidentally for machines to execute.” — Gerald Jay Sussman and Hal Abelson, Authors of “Structure and Interpretation of Computer Programs”

This step really should be throughout the process. Debugging throughout will help you catch any syntax errors or gaps in logic sooner rather than later. Take advantage of your Integrated Development Environment (IDE) and debugger. When I encounter bugs, I trace the code line-by-line to see if there was anything that did not go as expected. Here are some techniques I use:

• Check the console to see what the error message says. Sometimes it’ll point out a line number I need to check. This gives me a rough idea of where to start, although the issue sometimes may not be at this line at all.
• Comment out chunks or lines of code and output what I have so far to quickly see if the code is behaving how I expected. I can always uncomment the code as needed.
• Use other sample data if there are scenarios I did not think of and see if the code will still work.
• Save different versions of my file if I am trying out a completely different approach. I don’t want to lose any of my work if I end up wanting to revert back to it!

“The most effective debugging tool is still careful thought, coupled with judiciously placed print statements.” — Brian W. Kernighan, Computer Science Professor at Princeton University

8. Write useful comments

You may not always remember what every single line meant a month later. And someone else working on your code may not know either. That’s why it’s important to write useful comments to avoid problems and save time later on if you need to come back to it.

Stay away from comments such as:

// This is an array. Iterate through it.

// This is a variable

I try to write brief, high-level comments that help me understand what’s going on if it is not obvious. This comes in handy when I am working on more complex problems. It helps understand what a particular function is doing and why. Through the use of clear variable names, function names, and comments, you (and others) should be able to understand:

• What is this code for?
• What is it doing?

9. Get feedback through code reviews

Get feedback from your teammates, professors, and other developers. Check out Stack Overflow . See how others tackled the problem and learn from them. There are sometimes several ways to approach a problem. Find out what they are and you’ll get better and quicker at coming up with them yourself.

“No matter how slow you are writing clean code, you will always be slower if you make a mess.” — Uncle Bob Martin, Software Engineer and Co-author of the Agile Manifesto

10. Practice, practice, practice

Even experienced developers are always practicing and learning. If you get helpful feedback, implement it. Redo a problem or do similar problems. Keep pushing yourself. With each problem you solve, the better a developer you become. Celebrate each success and be sure to remember how far you’ve come. Remember that programming, like with anything, comes easier and more naturally with time.

“Take pride in how far you’ve come. Have faith in how far you can go. But don’t forget to enjoy the journey.” — Michael Josephson, Founder of Joseph and Edna Josephson Institute of Ethics

Thanks Gavin Stark

Written by Valinda Chan

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Enhancing Problem-Solving Skills in Java Programming: A Comprehensive Guide

Avinash bidkar, introduction.

Problem-solving skills lie at the heart of successful Java programming. In the realm of software development, the ability to dissect complex challenges, design efficient solutions, and implement them through code is paramount. This article delves into the art of honing problem-solving skills within the context of Java programming. By combining logical thinking, algorithmic strategies, and effective coding practice, developers can elevate their problem-solving skills in Java programming and create elegant, robust solutions.

Understanding Problem-Solving in Java Programming

Problem-solving in the realm of Java programming refers to the systematic approach of identifying, analyzing, and solving coding challenges. In a software developer course, you’ll learn that it involves breaking down intricate problems into manageable components and devising logical strategies to tackle them. Logical thinking and algorithmic understanding play a pivotal role in this process, allowing developers to construct well-structured and optimized solutions. Such skills are indispensable for crafting software that is not only functional but also efficient.

Guidelines for Enhancing Problem-Solving Skills

Here’s a rundown of the guidelines to enhance your problem-Solving skills.

• Breaking down complex problems: Start by breaking down a complex problem into smaller sub-problems. This approach simplifies the overall challenge and makes it easier to develop individual solutions for each component.
• Developing a systematic approach: Establish a systematic approach to problem-solving. Define the problem, identify the required inputs and desired outputs, and outline the steps needed to bridge the gap.
• Understanding before coding: Resist the urge to immediately dive into coding. Spend ample time understanding the problem statement, its nuances, and potential edge cases. A solid understanding is the foundation of an effective solution.
• Utilizing pseudocode and flowcharts: Before writing actual code, create pseudocode or flowcharts to outline the logical flow of your solution. This helps in visualizing the process and identifying potential flaws early on.
• Incremental development and testing: Build your solution incrementally, testing each component as you progress. This approach allows you to catch errors early and refine your solution iteratively.

Effective Coding Practice for Problem-Solving

Regular coding practice is essential for honing problem-solving skills. Engage in a variety of coding challenges that span different difficulty levels and problem domains. Online coding platforms, such as LeetCode, HackerRank, and CodeSignal, offer a wealth of practice problems and allow you to benchmark your skills against a global community of programmers. Mastering problem-solving skills in Java programming involves a combination of understanding the language's features, algorithms, and data structures, as well as practicing systematic approaches to tackling challenges.

Applying Algorithms for Efficient Solutions

Algorithms are step-by-step instructions for solving a specific problem. Learning and implementing various algorithms can greatly improve your problem-solving capabilities. Start by understanding the fundamental algorithms such as sorting, searching, and graph traversal. As you become more comfortable, move on to more advanced algorithms like dynamic programming, greedy algorithms, and divide-and-conquer techniques. Regularly practicing these algorithms through coding exercises will help you develop a toolkit of strategies to approach different types of problems effectively.

Strengthening Logical Thinking Abilities

Logical thinking is the foundation of problem-solving. It involves breaking down complex problems into smaller, manageable parts and understanding the relationships between different elements. To enhance your logical thinking skills, practice solving puzzles, brain teasers, and mathematical problems. Additionally, try to analyze the structure of various programming challenges and identify patterns and dependencies. Cultivating this skill will enable you to devise creative and efficient solutions to intricate programming problems.

Learning from Real-world Examples

Real-world examples provide practical insights into applying problem-solving skills in Java programming. Let's explore a few examples:

Example 1: Finding the factorial of a number: Break down the problem into smaller steps, creating a loop to multiply consecutive integers.

Example 2: Implementing binary search: Utilize the divide and conquer strategy to narrow down the search space and efficiently find the target element.

Example 3: Solving the Fibonacci sequence: Employ dynamic programming to optimize recursive calculations and generate Fibonacci numbers efficiently.

Overcoming Common Challenges

When solving programming problems, you're likely to encounter common challenges such as bugs, runtime errors, and inefficiencies. Embrace these challenges as opportunities to learn. Debugging is a crucial aspect of problem-solving. Cultivate a systematic approach to identifying and fixing errors by using tools like debugging environments and print statements. Additionally, optimize your code by analyzing time and space complexity, identifying bottlenecks, and making informed decisions to improve efficiency.

Putting Problem-Solving Skills to the Test

Practicing problem-solving skills is essential for improvement. Utilize coding platforms like LeetCode, HackerRank, and Codeforces to access a wide range of programming challenges. These platforms often categorize problems by difficulty, allowing you to gradually progress from easy to more complex tasks. Set aside dedicated time for consistent practice, and challenge yourself by attempting problems that initially seem daunting.

Collaborate with fellow programmers, engage in coding competitions, and participate in online forums to gain exposure to different problem-solving approaches.

An essential talent for Java programmers is the ability to solve problems. Developers can become skilled problem solvers by following logical rules, practicing code often, learning algorithms, and cultivating logical thought. The secret to maximizing the potential of problem-solving abilities is constant learning combined with practical experience. As you set out on this path, keep in mind that every obstacle you overcome will help you get closer to mastering Java programming and being able to create unique, effective solutions.

How can I improve my problem-solving skills in Java programming?

Enhance your problem-solving skills in Java by practicing algorithmic challenges, breaking down complex problems into smaller tasks, and leveraging data structures effectively. Regular coding practice and participating in coding competitions can also contribute to your skill development.

What strategies can I employ to tackle challenging Java programming problems?

Approach difficult Java programming problems step by step, analyze the problem requirements thoroughly, devise a clear plan, and implement it incrementally. Utilize debugging tools and collaborate with peers to gain different perspectives on problem-solving techniques.

Are there any specific resources for practicing Java problem-solving?

Numerous online platforms offer Java programming challenges and exercises, such as LeetCode, HackerRank, and Codeforces. These resources provide a range of problems to solve, helping you refine your problem-solving skills and Java proficiency.

How do I optimize my Java code for better problem-solving outcomes?

Optimize Java code by choosing efficient data structures, minimizing unnecessary iterations, and employing dynamic programming or memoization techniques when appropriate. Regularly review and refactor your code to improve its clarity and performance.

Q. Can problem-solving in Java programming benefit my overall programming proficiency?

Enhancing your problem-solving skills in Java translates to improved programming proficiency in general. The analytical mindset and structured problem-solving techniques you develop will prove valuable across various programming languages and domains.

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15 Tips to Improve Logic Building Skills in Programming

“In some ways, programming is like a painting. You start with a blank canvas and certain basic raw materials. You use a combination of science, art, and craft to determine what to do with them.” – Andrew Hunt

Yes, programming in itself is a very beautiful art. Sometimes we may face some problems while trying to program, but we can definitely overcome them. So, in this article, we will be sharing the top 15 tips and techniques that can help you to make your programming skills more strong, and rectify some common programming problems and this will also help you in the logic-building process.

How to Improve Your Logic-Building Skills in Programming?

Here are the ways in which you can improve your logic-building skills in programming. So let’s get started!!!

1. Concepts are Building Blocks for Programming

While trying to crack the logic of any coding problem, many of us think that we never came across such algorithms or theorems while studying and therefore are not able to solve the problem. In order to solve any problem, we should know the concepts of that topic, then only we would be able to apply them and solve the problem. Theoretical knowledge and concepts can be gained by reading articles, blogs, documentation, and watching videos based on that topic. You can also refer to the articles on GeeksforGeeks for building your concepts. We should also know the application of concepts and practice some important problems based on that topic.

2. Be Consistent

Many times it happens that we take up a challenge to solve a question for some number of days and then discontinue in the middle after some days!! It is a popular saying that practice makes a man perfect!! The same is the case with building programming logic. Make it a point to revise, or read an article or solve a question daily despite being very busy with remaining activities. Practicing consistently will help a lot in the overall logic-building process. In order to motivate yourself, you should always contemplate the reason why you started, reward yourself, and make programming fun by solving some quizzes and experimenting with the programs to see different outputs.

3. Pen and Paper Approach

After seeing any problem, we generally start coding the same on our IDE. So, when we are asked to write code on paper in interviews, we fail to do so. Always try to write the pseudo code or algorithm of the code before implementing them. It will help you in writing the code and the next time whenever you approach a similar problem you will be able to recollect more easily. It will also help you in getting syntactically strong.

4. Revision is Very Important

Many of you might be facing this issue that you learn a particular concept but after a few days or months when another question with the same logic or concept appears, you are unable to solve it. This is because you haven’t revised the concepts. Always make it a point to write down the important concepts and logic of questions that are important and keep them revised again and again. This will help you in recollecting the concepts easily.

5. Do as Many Questions as You Can 

It happens with most of us that there comes a single question and most of us get stuck there for 4 to 5 days and still are not able to crack it. Always try to practice lots of questions in order to develop your programming logic skills. This will help you in improving your logic building. If you are stuck on a single question, don’t spend a lot of time after a single question instead look for the concepts hidden behind the question.

6. Puzzle Solving

In many coding competitions, problems are not directly asked based on a concept. Instead, it generally involves a story woven around it, and we have to figure out the logic for solving the program. In such cases, sometimes we are unable to solve the problem. Try solving puzzles such as Sudoku to develop your logic and thinking ability because programming is nothing but solving complex problems with the help of good logic. 

7. Follow Step-by-Step Approach

We don’t start running since the day we are born. Similar logic applies to coding also. We should not directly jump to difficult questions. We should go from Basic to Advance questions. You can take the ratio of questions such while choosing 10 questions you can divide them into 5 easy, 3 medium, and 2 hard questions. You can find these questions on many good websites. Sometimes, people solve a lot of easy questions from all the sites, but they are not able to solve medium-level questions. Instead, make a balance of all the levels. This will help in clearing the coding tests while placements as most of the questions are from easy to medium level.

8. Find a Programmer’s Community

Sometimes we get bored while solving problems by ourselves with no one to teach or guide us. In such cases, you can always try discussing solutions or complex questions with fellow programmers and friends. This will always help you in finding new logic for the same problem and will help you in optimizing your code. This will also improve your confidence and communication skills!!

9. Go through the Editorials

It happens a lot of times that we are not able to solve some questions, so we just leave the question or understand the editorial and move forward without implementing it. After programming any question, go through the editorial section and the top submissions of the code. Here you will be able to find optimized and different logic for the same code. Try to implement the solutions in the editorial section after understanding them, so that the next time you find such a question you will be able to solve it.

10. Take Part in Coding Challenges

Most people are aware of coding challenges and if you want to build your logical skills then you must keep taking part in the same. Taking part regularly in coding challenges is very useful as it makes you familiar with the logical mindset. In a coding challenge, there are numerous types of questions that provide you with a lot of exposure. Also, taking part in such challenges allows you to see solutions of various codes provided by different coders and helps you if stuck at some point. 

11. Learn New Things Regularly

Programmers should never stop learning or being stuck on one topic. They must keep on solving multiple topics as it will help them to expand their area of knowledge by building technical skills. The aim should be solving new problems daily and not being stuck to the old pattern or algorithm in order to achieve success. However, at times some topics are a bit tough and take numerous attempts to solve, in that case, stop solving that and go on to the next one as sometimes new problems are helpful in solving the old ones. 

12. Understand Mathematical Concepts

Mathematics is an important aspect of programming and understanding properly will help you in making numerous visuals or graphs, coding in applications, simulation, problem-solving applications, design of algorithms, etc.

13. Build Projects

Project building is another task that will enhance your logical building skills in programming. It challenges your ability to tackling with new things by using different methods and tactics. It is recommended that you must build one project in order to get a proper clarity of the subject and assess yourself in order to work ahead efficiently.

14. Notes Preparation

Notes are saviors and if one does that regularly then nothing can beat them from achieving their goal. While making notes you must write down every trick, concept, and algorithm so that if you need it again it is easily available. So if you are solving any problem then make sure to note down the library functions it will also be helpful for your future interviews. Noting down basic algorithms such as merge sort, binary search, etc. will help you if you are stuck somewhere. 

15. Patience is the Key

Most of the time we leave programming after some days just because we are unable to solve the questions. Let’s always motivate ourselves by saying let’s just try one more time differently, before we decide to quit!!!

If you’ll patiently work on your programming logic skills and follow the tips which we have shared with you, no one can stop you from being a good programmer and you will surely crack all the coding tests and interviews!!!

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What Is Problem-Solving Programming?

Are you interested in a career in computer programming? Are you wondering if you have what it takes? Perhaps you’re fluent in relevant programming languages, but you wonder what other skills are essential to a successful programming career.

Here, we’ll look at how problem-solving skills are essential for programmers. This article will equip you to leverage your problem-solving skills on your programming resume.  

A Career in Programming

What is programming? We’re not talking about television programming here. Programmers are also known as computer programmers, systems programmers, software engineers, or coders. Programmers “ are tasked with designing and creating software programs, integrating systems and software, training end-users, analyzing algorithms, modifying source-code, writing system instructions, debugging, and maintaining operating systems.” Fortunately, there are solutions to address these issues and one of them is Sentry. Sentry is an error monitoring tool designed to identify and diagnose bugs within your software. Moreover, Sentry is not your only option. There are numerous  alternatives to Sentry  available in the market, providing software engineers with a diverse set of tools to monitor and promptly address crashes in real-time.

What Is Problem-Solving in Programming?

Have you ever encountered a “computer bug?” Maybe you were playing a video game, using an app, or completing work or school assignments on your computer. The bug or glitch became evident when the computer crashed, the screen froze, or the program did not behave as you expected.  

Computer programmers use problem-solving skills, along with an in-depth knowledge of coding, to find and fix issues like these. Each time, the programmer will practice some or all of the following steps .

• Identify the problem. Before a computer program, app, or game is released to the public, it is scrutinized by its makers. Programming teams use the software or play the game, searching for errors. They may recruit others through beta testing programs to use the application and report any problems.
• Understand the problem. Once an error is reported, the programmer must evaluate the issue to determine possible causes and solutions. It’s important to take your time with this step – make sure you really understand every aspect of the problem and your not making assumptions based on past experience.
• Work through the problem. To solve the problem, you’ll need to see it for yourself. Use the application and witness the issue. Then, work through it several more times with different variables to see if the issue is consistent.
• Pseudocode. Write out what you need the lines of code to do before translating it to actual code.
• Translate. Turn the pseudocode into code.
• Test your code. Run the program and find out if it functions as it is supposed to.
• Debug. Fix any errors as you go along.
• Simplify. Errors can arise when code is more complicated than it has to be.
• Take notes. Likely, you won’t be the only one to ever work with your lines of code. Even if you are, you may find that in a few months, you don’t remember exactly what each and every line accomplished. So, take notes on what each line is for.
• Ask for feedback. Just as testing may have revealed the problem in the first place, so it can aid you in identifying any additional issues. Other coders, developers, or programmers may see solutions you don’t. They can make suggestions that will improve the product or process overall.

Improve Your Problem-Solving Skills

Many universities offer online courses that can help you learn creative problem-solving skills that relate directly to information technology applications.

You can also practice problem-solving techniques in everyday situations. When confronted with a challenge, try the following: 

• Identify the problem.
• Get the facts – research similar problems and ask questions. Practice active listening.
• Find possible solutions – brainstorm. Make backup plans in case solutions don’t work as planned.
• Decide on a plan. Weigh the pros and cons of each possible solution, and choose the one that is best overall. If multiple people are involved in the decision-making process, try to arrive at a decision that meets everyone’s needs.
• Act! Once you’ve decided, implement your plan.
• Look for results. Make observations and talk to others involved. Is your plan achieving the desired results? If not, find more facts and follow up with other possible solutions.

Even problem-solving skills from your daily life will serve you well when challenges arise at work.

How to List Problem-Solving Skills on Your Resume

You can include problem-solving skills on your resume in several ways:

• In your skills list
• In your skills summary or core competencies
• Within your job descriptions

You don’t just have to use the term “problem-solving,” either. Show rather than tell. Could you include statements similar to the following that match your unique qualifications?

• “Assisted a team of 6 in debugging a flagship program two days before the product launch.”
• “Identified 32 discrete lines of code that were in error; debugged, simplified, and optimized the code in question.”
• “Communicated with 24 beta testers from around the world over the course of 5 weeks to ready the program for launch.”

You may also use other terminology related to problem-solving, including creativity, analysis, designing, critical thinking, drawing conclusions, focus, experimenting, evaluation, communication, decision-making, and assessment.

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Nurture Your Tech and Problem-Solving Skills by Earning a Cyber Security Degree

If you have a love of technology and all things cyberspace, a cyber security degree program may be the right move for you. The coursework in our bachelor’s degrees, associate degree or undergraduate certificate can help to awaken the information technology professional within you and help you prepare to build your knowledge and skills as a cyber defender.

Here at DeVry, our online cybersecurity degree programs include a mix of security and information technology (IT) courses taught by experienced tech professionals. These skills-focused degree and certificate programs cover concepts such as risk management, forensics, malware, cryptography and more. Cybersecurity classes offer the opportunity to explore modern cybersecurity and information technology concepts and build your understanding of the real-world cybersecurity issues you’re likely to find in today’s workplaces.

Classes Start Monday, October 28, 2024

Explore our cyber security degree and certificate programs.

Our undergraduate cybersecurity degree and certificate programs can help you gain an understanding of real-world information security issues by exploring current cybersecurity and information technology concepts. 

Undergraduate Certificate Program in Cyber Security

Build fundamental skills to combat cyber-crime and protect sensitive data across networks.

Associate Degree Program in Cyber Security and Networking

Learn how to be an essential part of how organizations keep their networked devices, environments, and infrastructures secure and running smoothly.

Bachelor’s Degree Program in Cyber Security and Networking

Develop the robust skills in networking, data and information systems security, penetration testing, ethical hacking, cloud security, and security operations needed to monitor, secure, defend an organization from cyberattacks.

Bachelor’s Degree Program Specialization in Cyber Security Programming

Build your skills and learn how to defend data against cyberattacks using modern defense tools and tactics grounded in programming, coding, and application development.

Bachelor’s Degree Program Specialization in Cyber Security

Learn what it takes to protect against hackers, build defense systems and construct mechanisms to protect applications, systems and networks.

Accreditation and Recognition Matter

Being accredited means we’ve met rigorous quality standards and are committed to giving you the education you deserve. We're proud DeVry University is accredited by The Higher Learning Commission (HLC), www.hlcommission.org

In addition, DeVry University’s Cyber Security curriculum is acknowledged and verified as an approved provider by NICCS.

Future Cyber Defenders Scholars Program

Take your ambition to the next level with a cybersecurity scholars program that helps you build your network, boost your skills and prepare to pursue the career you want. 1

• 02 Certifications
• 03 Hybrid and Online
• 04 Career Options
• 06 Learning Experience
• 07 About Cyber Security

Cyber Security Courses: What You Will Learn

The coursework in our cyber security programs can help you develop many of the skills necessary to protect networks and data systems against cyberattacks.

For example, courses in our Bachelor’s Degree Program in Cybersecurity and Networking cover areas such as web security, data privacy and security, cybersecurity architecture, penetration testing, business continuity, cloud security and advanced network security helping you develop an understanding of the issues and concepts associated with information security, including:

Protection of network and data systems.

Design of flexible and extensive security plans and the risk factor analyses that are associated with them.

Protection of web-based and cloud-based applications from external threats.

Protecting information on mobile devices.

Identifying network and wireless vulnerabilities, conducting risk assessments, responding to intrusions and providing business continuity through recovery efforts.

Cyber Security Programs Admission Requirements

Here at DeVry University, prospective undergraduate students must interview with a DeVry Admissions Representative and complete an application. You will also need to provide documentation of high school graduation or the equivalent and meet minimum grade point average and English-language-proficiency requirements. More detailed admissions information can be found in our Academic Catalog .

Cyber Security Certifications

Certifications are credentials earned from professional organizations such as CompTIA, IRBIZ, EC Council, ISC and others that substantiate your skills, often by taking an exam and, in some cases, requiring additional training. By earning and maintaining industry-recognized certifications in penetration testing, digital forensics, cloud-based technologies and other areas of cyber defense, you can show employers that your computer skills in these areas have been verified. In some cases, employers require applicants to have specific certifications, thereby providing assurance of their skills. Coursework in our cyber security programs can help you prepare to pursue these important credentials. For more detailed information, explore our  cyber security certifications page .

Learn about Our Hybrid and Online Cyber Security Programs

Our cyber security degree programs are developed with your goals and busy life in mind. That’s why our information technology and cyber security courses are available in either a hybrid or 100% online format. 2

Here’s how our cyber security programs work:

Hybrid Courses

Hybrid courses are a great option for students who want to combine the flexibility of online learning with the experience of in-person instruction. This allows for a flexible way to balance your daily schedule while taking some classes in person. 2

Online Courses

No matter what format you choose, our  Bachelor’s Program in Cybersecurity and Networking , Bachelor’s Program in Information Technology and Networking and Bachelor’s Program in Computer Information Systems, each with Specializations in Cyber Security, dive deeply into a variety of disciplines, including information technology, server maintenance, ethical hacking and more.

Cyber Security Career Options

Here at DeVry, our certificate, associate and bachelor’s programs can help prepare you to pursue a broad variety of cyber security-related roles in private-sector companies and public-sector organizations that maintain large data systems or contracted security agencies.

Undergraduate Certificate

For example, with our online  Undergraduate Certificate in Cyber Security , you may be prepared to seek entry-level cyber security jobs that include:

Computer Network Support Specialist

Computer User Support Specialist

Cyber Security Specialist

Cyber Security Technician

Associate Degree

Graduates with our Associate Degree in Cybersecurity and Netwoking  may consider intermediate roles such as:

Information Technology Specialist

Computer Systems Analyst

Bachelor's Degree

With our  Bachelor’s Degree in Cybersecurity and Networking , you may consider more advanced career roles that include:

Cyber Security Engineer

Computer Security Analyst

Cyber Security Manager

Cloud Security Engineer

• Information Security Analyst

Penetration and Vulnerability Testers

Keep in mind that titles and hiring requirements are not standardized across industries, so this information is provided as a general guideline. Employers will specify their required skills and qualifications in each of their job postings.

FAQs: Cyber Security Degree Programs

What is cyber security.

Cyber security is the practice of  protecting data systems  and computer networks from digital attacks and minimizing the impact when they do occur. Also known as information technology (IT) security, the practice employs strategies, techniques and tools that are designed to combat or recover from threats to sensitive information contained in networked systems, typically from outside of an organization.

Cyberattacks in the form of data breaches affecting consumers’ personally identifiable information (PII) can be particularly devastating to brands, health systems, banks and other public and private-sector organizations. Cyberattacks can result in loss of revenue and consumer trust, possible legal action and imposition of regulatory fines and are a threat to homeland security. This is why cyber security has become an important concern in the boardroom as well as the IT department.

What cyber security degree and certificate programs are available?

Some of the online cyber security programs available here at DeVry include our  Bachelor's Degree in Cybersecurity and Networking,  our  Bachelor's Degree in Information Technology and Networking with a Cyber Security Specialization  which is focused on the practice of cyber security primarily related to network and cloud security, our  Bachelor's Degree in Computer Information Systems with a Cyber Security Programming Specialization  which concentrates on more specialized programming knowledge and its applications in the cyber security field and our  Associate Degree in Cybersecurity and Networking  which teaches you how to keep networked devices, infrastructures and environments secure and running smoothly. In addition to our undergraduate cyber security degrees, our  Undergraduate Certificate in Cyber Security  helps you build a foundation to learn about safeguarding strategies, OS concepts and more.

If you’re interested in a graduate-level program that touches on cyber security concepts, you might also consider our  Graduate Certificate in Information Security .

Is cyber security hard to learn?

Cyber security may sound like it’s  hard to learn , but as with any area of study, the degree of difficulty depends on the student. You may find certain cyber security courses to be more challenging than others, but if you dedicate yourself to learning, manage your time effectively and maintain your focus, you can effectively pursue your goal of earning a cyber security degree.

What do you do in a cyber security career?

Many cyber security careers involve building safe networks that prevent cyberattacks from external forces, uncovering and patching vulnerabilities that malicious hackers could exploit, and detecting malware and unauthorized access to sensitive data and operating systems, while facilitating the free flow of information between networked devices. There are many  types of cyber security professionals , each with its own competency. For instance, an ethical hacker specializes in breaking into systems to identify security vulnerabilities, while a cyber security analyst would likely spend more time evaluating the system itself to recommend improvements.

What is the expected job growth for cyber security professionals?

Based on projections from the Bureau of Labor Statistics (BLS), career opportunities in cyber security should remain strong for the next several years. The BLS projects employment of  information security analysts  to grow 32% between 2022 and 2032, a rate that is much faster than the national average for all occupations, with about 16,800 job openings each year, on average, over this period. 3  This growth is projected on a national level and local growth will vary by location. This projection is not specific to DeVry University graduates and may include earners at all stages of their careers, and not just entry level.

The BLS attributes this growth to the rise of e-commerce, a shift to remote work and the growing frequency of cyberattacks, which are increasing the business sector’s focus on innovative solutions to protect networks and data systems from hackers. They further recognize strong growth in digital health services and telehealth, which may increase data security risks for healthcare systems.

How long does it take to earn your cyber security degree?

The answer depends on which program you choose to enroll in. For example, our online Undergraduate Certificate in Cyber Security can be completed in as little as 1 year and 2 months on an accelerated schedule, 1 year and 6 months on a normal schedule. 4  Our Bachelor’s Degree in Cybersecurity and Networking can be completed in as little as 2 years and 8 months on an accelerated schedule, 4 years on a normal one. 5

4 Minimum schedule is per 12-month period, assumes completion of 3 semesters, enrollment in 7 to 13 credit hours per semester and continuous, year-round enrollment with no breaks. Normal schedule is per 12-month period, assumes completion of 2 semesters and enrollment in 7 to 13 credit hours per semester. 5 Minimum schedule is per 12-month period, assumes completion of 3 semesters, enrollment in 13 to 19 credit hours per semester and continuous, full-time year-round enrollment with no breaks. Normal schedule is 12-month period, assumes completion of 2 semesters and full-time enrollment in 13 to 19 credit hours per semester.

What types of skills are needed for a career in cyber security?

The cyber security field requires aspiring cyber defenders to develop a medley of  technical and workplace skills . Technical skills like framework and operating systems knowledge, coding and scripting, penetration assessment and cloud security are crucial. Workplace skills like problem-solving, communication, adaptability and being detail-oriented are indispensable. This skill set helps cyber security pros stay ahead of new vulnerabilities to cybercrime, assess situations and propose solutions, collaborate with their peers and explain highly technical subjects to non-technical stakeholders.

Where do cyber security professionals work?

As organizations continue to rely heavily on the safety and security of their data systems and the job growth outlook continues to be strong in this area of computer science, as indicated by the BLS projections,  cyber security careers  can be found anywhere sensitive data is stored or managed. You may find career paths in the banking and finance, insurance or healthcare industries, or in the tech sector. Opportunities may also exist in law enforcement and government agencies.

Can I earn my cyber security degree or certificate 100% online?

Yes. Cyber security degree and certificate programs at DeVry are designed to be completed 100% online. If you prefer to add an on-campus experience to your educational journey, a hybrid option may allow you to take some classes in-person at a DeVry campus location. 2

Tech-Powered Learning

At DeVry University, you can prepare to pursue a career in today’s cyber security field supported by our   tech-powered learning . Our classes help students become comfortable with the technology being used in today’s workplaces using a variety of methods including collaboration software, online homework tools and computerized accounting systems.

Learn More about the Cyber Security Field

1 Data is inclusive of all partner tuition savings, institutional scholarships and grants for the period for July 1, 2020 to June 30, 2021. 2 Program, course and extended classroom availability vary by location. In site-based programs, students will be required to take a substantial amount of coursework online to complete their program. 3 Growth projected on a national level. Local growth will vary by location. BLS projections are not specific to DeVry University students or graduates and may include earners at all stages of their career and not just entry level. https://www.bls.gov/ooh/computer-and-information-technology/information-security-analysts.htm 4 Minimum schedule is per 12-month period, assumes completion of 3 semesters, enrollment in 7 to 13 credit hours per semester and continuous, year-round enrollment with no breaks. Normal schedule is per 12-month period, assumes completion of 2 semesters and enrollment in 7 to 13 credit hours per semester. 5 Minimum schedule is per 12-month period, assumes completion of 3 semesters, enrollment in 13 to 19 credit hours per semester and continuous, full-time year-round enrollment with no breaks. Normal schedule is 12-month period, assumes completion of 2 semesters and full-time enrollment in 13 to 18 credit hours per semester.

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