Every line of code that has ever been written was definitely created for one main reason: to create a solution for a problem. It doesn’t matter what you are engaged in, you are creating solutions for problems at different scales.
We face problems every day. Although the magnitude and impact might not be the same, the overall strategies for solving the problem are the same. As a developer, data scientist, or web application expert, being an effective problem solver can really help move things faster. Below are 4 steps to solving coding problems:
1. Understand the problem
When you come across a coding problem, especially in an interview, it is always tempting to start coding right away. This is mainly because the time given is very limited. But it is important to resist the temptation. The first thing you should do is to take some time to understand the question before attempting it.
While reading through the problem, try to clarify any part that is not well defined. You can even read the question aloud or ask an interviewer a question in case you are in an interview panel. The best way to understand a problem is by asking yourself a few questions such as what are the inputs? What are the outputs? You should then create some examples relating to the problem.
2. Come up with a plan to solve the problem
The next step is to create a plan on how you are going to solve the problem. You can start by writing the plan as pseudocode. This is a simple language explaining the steps within an algorithm. In short, pseudocode is a step-by-step approach on how to solve your problem.
Try to list all the steps needed to solve the problem at hand. In case you are dealing with a much complex problem, forget how your code can solve the problem and view it in a systematic way.
3. Execute your plan
This is the point where the actual solving of the problem takes place. Start writing your coding with the pseudocode acting as your guide. It is highly recommended that you make your solution as simple as possible. The simpler your solution, the easier it will be to implement. Whether it is a web design project or using C# to generate PDF files, begin by getting a simple mechanical solution.
4. Review what you have done
After you have solved the problem, sit back and reflect on it to see where you can improve. Reviewing your solution will also give you a chance or opportunity to make it more effective. Ask yourself a number of questions as you reflect on the solution. Is there a way of deriving the solution differently? Does it make sense? Can the result or solution be used for another problem? Can the performance of the solution be improved?
Bottom line
Unlike what many people believe, solving coding problems is not necessarily the ability to come up with brilliant ideas. Instead, it is just a thought process with well-defined and simple to use tools.
About the Author
Emily Lamp is a professional writer, working closely with many aspiring thinkers and entrepreneurs from various companies. She is also interested in technology, business growth and self-improvement. Say hello to Emily on Twitter @EmilyLamp2.