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How can you improve your algorithmic thinking skills?

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Algorithmic thinking is the ability to break down a problem into logical steps and find a solution using programming concepts. It is a crucial skill for software engineers, as it helps them design efficient, elegant, and scalable code. However, algorithmic thinking is not something that you can master overnight. It requires practice, patience, and curiosity. In this article, you will learn some tips and strategies to improve your algorithmic thinking skills and become a better coder.

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Saad Aslam

Software Engineer @ Turing | Microsoft MVP in Developer Technologies | Top 1% Software Engineering Mentor featured on…
Yash Faria

Software Craftsman || Perpetual Learner
Akira Taguchi

CEO at A Hacker Company

1 Understand the basics

Before you can tackle complex algorithms, you need to have a solid grasp of the basic programming concepts, such as variables, data types, loops, conditionals, functions, and arrays. These are the building blocks of any algorithm, and you should be able to use them confidently and correctly. You should also familiarize yourself with the common data structures, such as stacks, queues, lists, trees, and graphs, and how they can store and manipulate data efficiently. You can use online resources, books, or courses to learn or review these concepts, and practice them with simple exercises or challenges.

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Saad Aslam

Software Engineer @ Turing | Microsoft MVP in Developer Technologies | Top 1% Software Engineering Mentor featured on Times Square | Founder Tech ?????
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In my experience, mastering basic programming concepts, exploring data structures, and consistent practice with coding challenges significantly enhance algorithmic thinking skills. Seeking feedback on code and reviewing diverse solutions further accelerates the learning process.

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Daniel Almenar Williams

Software Engineer | Go, Javascript, Typescript | React, Vue, Svelte | GCP, AWS | CI/CD Transitioning from webdev to CLI and tools development (Go, C++)
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One thing I always try to keep in mind as a ground rule is to first and foremost you need to have a clear understanding of the problem you are trying to solve. Once the problem has been successfully identified, then the following fundamental steps need to be applied: - Decomposition: recursively break the problem into smaller problems until each one is an atomic piece of the whole - Pattern recognition - Abstraction Those steps will drive you naturally to the algorithmic solution of the problem. And once the solution is drafted, then you may dedicate some time to optimize it.

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2 Practice with puzzles

One of the best ways to improve your algorithmic thinking skills is to practice with puzzles, riddles, games, or brainteasers that require logical reasoning and problem-solving. These can help you develop your analytical, creative, and critical thinking skills, as well as your ability to spot patterns, optimize solutions, and handle edge cases. You can find many online platforms, such as Codewars, HackerRank, LeetCode, or Project Euler, that offer a variety of puzzles and problems for different levels of difficulty and programming languages. You can also try to solve puzzles from books, magazines, or newspapers, such as Sudoku, crossword, or chess.

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Akira Taguchi

CEO at A Hacker Company
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Doing Advent of Code with your peers keeps your DSA knowledge/thinking in check. Google Code Jam is also an excellent way to improve your algorithmic thinking. Google, ChatGPT and Introduction to Algorithms by Thomas H. Cormen et al. will be the foundations to solving these puzzles.

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3 Use pseudocode and diagrams

Another useful strategy to improve your algorithmic thinking skills is to use pseudocode and diagrams to plan and visualize your solutions before writing actual code. Pseudocode is a simplified version of code that uses plain English and basic programming syntax to describe the steps of an algorithm. Diagrams are graphical representations of data structures, processes, or flows that help you organize and illustrate your ideas. Using pseudocode and diagrams can help you clarify your logic, identify errors, and communicate your solutions more effectively. You can use paper and pen, a whiteboard, or a digital tool to create your pseudocode and diagrams.

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Husnain Khalid

?? Turn your ideas ?? into MVP with top SaaS Expert | Back-End Web Developer, Technology Evangelist
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There are two common and useful strategies to improve your algorithmic thinking skills is to use Pseudo code and Diagrams or flow charts to help solve problems in programming. Pseudo code are high level descriptive techniques to solve problems while Diagrams or flow chats are visual representation of steps that would be involved.

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4 Learn from others

A great way to improve your algorithmic thinking skills is to learn from others who have more experience or expertise in solving algorithmic problems. You can read books, articles, blogs, or tutorials that explain different algorithms, their applications, and their pros and cons. You can also watch videos, podcasts, or webinars that demonstrate how to approach and solve algorithmic challenges. You can also join online communities, forums, or groups that discuss and share algorithmic problems and solutions. You can ask questions, give feedback, or participate in discussions to learn new techniques, tips, or tricks.

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5 Review and refactor

Finally, one of the most important steps to improve your algorithmic thinking skills is to review and refactor your code. Reviewing your code means checking if it works correctly, meets the requirements, and follows the best practices. You can use tools, such as debuggers, testers, or code analyzers, to help you find and fix errors, bugs, or inefficiencies. Refactoring your code means improving its structure, readability, or performance without changing its functionality. You can use techniques, such as renaming variables, extracting functions, or simplifying expressions, to make your code more clean, concise, and consistent.

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6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Yash Faria

Software Craftsman || Perpetual Learner
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Here's some extra tips that one should try out: Read and Analyze Code: Read code written by others, especially solutions to challenging problems. Analyze the thought process behind the code and try to understand different approaches to solving the same problem. Teach Others: Teaching is a powerful way to solidify your understanding of algorithms. Share your knowledge with others through blogs, tutorials, or mentoring. Explaining concepts to someone else reinforces your understanding. Remember that improving algorithmic thinking is a gradual process, and patience is key. Consistently challenging yourself with diverse problems and continuously seeking to expand your knowledge will contribute to significant growth.

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How can you improve your algorithmic thinking skills?

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1 Understand the basics

2 Practice with puzzles

3 Use pseudocode and diagrams

4 Learn from others

5 Review and refactor

6 Here’s what else to consider

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