Websites That will Make You Better at Coding

@mashstatic

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Why it worked

The post provides a curated list of valuable, lesser-known resources for aspiring programmers, appealing to a desire for deep understanding and efficient learning beyond common platforms. The visual presentation of each site's interface and a concise description of its benefits makes the information easily digestible and actionable.

Summary

This post highlights six underrated websites that help users improve their coding skills by focusing on deep understanding, clean code, and real-world problem-solving. These platforms are designed to enhance algorithmic thinking, computer science fundamentals, and practical development abilities.

Structure

1Introduction to websites that improve coding skills
2Showcasing CodeCrafters.io for engineering skills
3Introducing Rosetta Code for multi-language comparison
4Highlighting Project Euler for math and programming problems
5Featuring Exercism for mentored coding practice
6Mentioning Overapi for cheat sheets and reference
7Concluding with Teach Yourself Computer Science roadmap

Product placement

The video showcases several websites for learning to code: CodeCrafters.io, Rosetta Code, Project Euler, Exercism, Overapi, and Teach Yourself Computer Science.

Original caption

Save this post. Most people who want to learn programming rely on the same popular platforms, but real improvement comes from using resources that focus on deep understanding, clean code, and real problem solving. This post shares six underrated coding websites that help you think like a software engineer, not just complete exercises. These platforms are designed to improve algorithmic thinking, computer science fundamentals, and real world development skills. Whether you are learning Python, JavaScript, Java, C++, backend development, frontend development, or system design, these tools will push you beyond beginner level and help you write better, more maintainable code. If you feel stuck watching tutorials without progress, the issue is not motivation. It is the quality of practice. Serious developers focus on how systems work, why code is written a certain way, and how to solve problems efficiently. That is exactly what these websites teach. This post is for beginners, self taught programmers, computer science students, and anyone who wants to become a stronger developer. #coding #programming #learntocode #softwaredeveloper #softwareengineer

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Websites That will Make You Better at Coding Part 2 Mar Apr May Jun Jul Aug count contributions CodeCrafters.io About Pricing Gifts Log In Try a challenge Backed by Y Combinator Train your engineering skills like a pro athlete Recreate tools like Git, Redis, and SQLite from scratch. Practice debugging and refactoring code under constraints. Become the engineer others trust with their hardest problems. August 2024 Built Redis from scratch Build Expert Built SQLite from scratch Built BitTorrent from scratch Built Git from scratch Built Intermediate July 2024 A hands-on learning site where you rebuild real-world tools like Git or Redis, making it ideal for deeply understanding how production systems actually work. Rosetta Code Search Rosetta Code rosietacode.org Join our Discord to discuss Rosetta Code! Contents hide Beginning Places to start Recently-Updated Tasks Ways to Contribute Places to start See Recent Changes Ways to Contribute Village Pump/Suggest a programming task Village Pump/Suggest a language Add a Language Add a Task Adding a new programming example Examples needing attention Unimplemented tasks by language Rosetta Code is a programming chrestomathy site. The idea is to present solutions to the same task in as many different languages as possible, to demonstrate how languages are similar and different, and to add a person with a programming approach to a problem in learning another. Rosetta Code currently has 1,338 tasks, 598 code tasks, and is aware of 882 languages, though we do not (and cannot) have solutions to every task in every language. This page was last edited on 17 December 2023, at 18:16. Content is available under GNU Free Documentation License. Cookies help us deliver our services. By using our services, you agree to our use of cookies. More Information OK A multi-language code comparison site that shows how the same problem is solved in different languages, helping you learn new paradigms and write more idiomatic code. Project Euler net About Archives Recent News Register Sign In About Project Euler What is Project Euler? Project Euler is a series of challenging mathematical/computer programming problems that will require more than just mathematical insights. Although mathematical skills are not elegant and efficient mathematics, the use of a computer and programming skills will be required to solve most problems. The motivation for starting Project Euler, and its continuation, is to provide a platform for the inquiring mind to delve into unfamiliar areas and learn new concepts in a fun and recreational context. Who are the problems aimed at? The intended audience include students for whom the basic curriculum is not feeding their hunger to learn, adults whose programming does not primarily mathematics but has a strong interest in mathematical, and professionals who want to keep their programming and mathematics on the cutting edge. Currently we have 1370597 registered members, who have solved at least one problem, representing 220 locations throughout the world, and collectively using 113 different programming languages to solve the problems. Can anyone solve the problems? The problems range in difficulty and for many the experience is inductive chain learning. That is, by solving one problem it will expose you to a new concept that may allow you to undertake a previously inaccessible problem. So determined participants will be able to slowly but surely work their way through the problems. What next? In order to track your progress it is necessary to setup an account and have Cookies enabled. If you already have an account, then Sign In. Otherwise, please Register - it's completely free! However, as the problems are challenging, you may wish to view the Problems before registering. "Project Euler exists to encourage, challenge, and develop the skills and enjoyment of anyone with an interest in the fascinating world of mathematics." A problem-solving platform combining math and programming that strengthens algorithmic thinking and sharpens your ability to solve complex problems efficiently. exercism Learn Discover Contribute More exercism.org Learning to code? Check out our Coding Fundamentals course for beginners! Get really good at programming. Develop fluency in 78 programming languages with our unique blend of learning, practice and mentoring. Exercism is fun, effective and 100% free, forever. Sign up for free Explore languages exercism is an independent, community funded, not-for-profit organisation. Learn more Explore and get fluent in 78 programming languages A mentor-reviewed coding practice platform that helps you write clean, idiomatic code while getting real human feedback instead of just pass/fail results. overapi.com Python jQuery node.js FOPAP Java JS /*AS*/ CSS RegEx HTML HTML express Developer Tools >> About and Comments >> Get Chrome Extension >> A curated collection of concise cheat sheets that lets you quickly reference syntax and core concepts across many languages to code faster and with fewer mistakes. Teach Yourself Computer Science teachyourselves.com Note: this guide was extensively updated in May 2020. For the prior version, see here. If you're a self-taught engineer or bootcamp grad, you owe it to yourself to learn computer science. Thankfully, you can give yourself a world-class CS education without investing years and a small fortune in a degree program 36. There are plenty of resources out there, but some are better than others. You don't need yet another "200+ Free Online Courses" listicle. These need answers to these questions: Which subjects should you learn, and why? What is the best book or video lecture series for each subject? This guide is our attempt to definitively answer these questions. Thank you to the following volunteers for their translations: 中文翻译此此 (Chinese) by Yu Zhengjie Tradução em português (Portuguese) by Clemens Schrage Перевод на Русский (Russian) by Ilja Moiseeva and Stepan Raktin Bahasa telugu (Telugu) by Dat Hoang Bahasa melayu (Malay) by Kim 한국어 (Korean) by Minyoung Kim 日本語 (Japanese) by Ralph Plumley Türkçe çevirisi (Turkish) by Emre Barış Fırat فارسی (Persian) by H.R. Taghavi Traduzione in italiano (Italian) by Fabio Cicerchia Traduction en français (French) by Aurélien Smirt Bahasa Indonesia (Indonesian) by Ananda Umami العربية (Arabic) by Ounissi Zakaria A structured, self-guided computer science roadmap that uses high-quality academic resources to build a deep and lasting understanding of core CS fundamentals.