Awesome Algorithms

A curated list of awesome places to learn and/or practice algorithms.
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Readme

Awesome Algorithms

A curated list of awesome places to learn and/or practice algorithms. Inspired by awesome-awesomeness and all the other awesome Awesome libraries.

If you want to contribute, please read the contribution guidelines.

Websites

Websites you should use to learn classic algorithms

  • A Visual Guide to Graph Traversal Algorithms - Interactive visualizations for learning how graph traversal algorithms work.
  • W3School - Data Structures tutorial.
  • CodeChef - Learning DSA by practice on Codechef
  • Algorithm Visualizer - Dozens of animated algorithms (with code), and you can also create your own.
  • Algorithms Visualization - A dense article on Algorithms Visualization.
  • Big-O Cheat Sheet - Big-O complexities of common algorithms used in Computer Science.
  • Code-Drills - Practice problems recommender (includes Codeforces, Codechef, and Spoj).
  • CP-Algorithms - Algorithms and data structures are especially popular in the field of competitive programming.
  • Data Structure Visualizations - Visualize the behavior of Data Structures and play with its operations.
  • Geeks for Geeks - Lots and lots of well-explained and implemented algorithms.
  • Path Finding - A visual representation of how algorithms such as A*, IDA*, Breadth-First-Search, Best-First-Search, and others describe a path between two points A and B.
  • Programiz - Easy to follow tutorials on data structures and algorithms along with suitable examples.
  • Rosetta Code - A programming chrestomathy site that aims to present implementations of many algorithms and data structures in different programming languages.
  • Sorting Algorithms - Nice and simple animations of sorting algorithms. With short codes and discussions.
  • Stoimen's web log - Some algorithms nicely explained.
  • The Sound of Sorting - The Sound of Sorting - "Audibilization" and Visualization of Sorting Algorithms
  • VisuAlgo - Visualising data structures and algorithms through animation.
  • Wikipedia - Algorithms - Of course!!
  • Wikipedia - Data Structures - and why not ?!!
  • Learnersbucket - Tutorials on data structures and algorithms in Javascript.
  • redblobgames - interactive visual explanations of math and algorithms, using motivating examples from computer games.

Youtube Playlists

High Quality Courses and tutorials on youtube

Online Courses

Free and High-Quality Courses Online

Books

The most highly regarded books to learn algorithms

Algorithms and Data structures

Algorithm Analysis

Randomized Algorithms

Cheat Sheets

Github Libraries

Implementations of the most classic algorithms in a wide variety of programming languages

Online Judges

Online Judges to practice what you learned above

  • A2 Online Judge - Online Judge and problem archive.
  • ACM-ICPC Live Archive - Hundreds of problems from previous ACM-ICPC Regionals and World Finals.
  • AIZU ONLINE JUDGE - Japanese Online Judge.
  • Algo Muse - Research-based algorithmic problems.
  • AtCoder - Japanese programming contest website.
  • Baekjoon Online Judge - Korean Online Judge. 10000+ problems. Supports 60+ languages.
  • CS Academy - Holds online contests and IOI practice contests
  • CodeChef - More problems and monthly online contests.
  • Codeforces - The only programming contests Web 2.0 platform
  • Codefights - Practice programming and tackle your next tech interview
  • CodeMarshal - Real-world contests online!
  • CodeWars - A website that houses support to solve algorithms in many languages in varying difficulty.
  • CoderByte - A decent website with algorithm challenges from beginner to advanced levels. Supports most of the popular languages like C++, python, javascript, ruby.
  • Firecode - Firecode.io uses machine learning algorithms along with curated real-world interview questions, solutions & a vibrant social community of learners to get you ready for your next coding interview.
  • Coding Blocks - Website that has problems based on Maths, Data Structures, Various Algorithm and also conducts Coding Competition.
  • HackerEarth - Practice algorithmic problems & challenges and participate in hiring challenges.
  • HackerRank - Featured algorithm and functional programming online judges
  • HiHoCoder - Chinese and English problem-solving practice and recruitment challenge site.
  • Infoarena - Romanian Online Judge. 1500+ algorithmic problems
  • Interviewbit - Learn, practice, and prepare for interviews.
  • Kattis- Online judge and problem archive
  • LavidaOnlineJudge - Korean Online Judge(Half English). 1300+ problems.
  • Learneroo Algorithms Tutorials - Learn and practice algorithms by solving challenges online.
  • LeetCode - Learn algorithms and prepare for interviews.
  • PKU JudgeOnline - Chinese Online Judge.
  • ProjectEuler - Mathematical problems that can be solved using algorithms (or just a pencil, depending on how much you already know).
  • Rosalind - A platform for learning bioinformatics and programming through problem-solving.
  • ShareCode.io - Online Judge and contest host with a lot of algorithmic problems in the archive to practice.
  • Snakify - An introductory Python course with 100+ algorithmic problems and a step-by-step debugger (from Russia).
  • SPOJ - More problems.
  • TopCoder - Lots of problems and real-world/money-worthy problems in Graphic Design, Data Science, and Development.
  • Toph - Bangladeshi Online Judge. Holds online contests regularly.
  • URI - Brazilian Online Judge. Not so many problems, but it's growing and it has online contests.
  • UVA - Hundreds of problems (from previous ACM-ICPC Regionals, World Finals, and others).
  • Codility - Compete to land coding jobs at top companies

Blogs

Awesome list of blogs, mainly for competitive programming but you can refer to these when learning a new topic/algorithm

Tools

Some tools that can help you in the learning of algorithms

Related Awesome Lists

  • Math - Freely available lecture notes on mathematics.
  • Theoretical Computer Science - The interdisciplinary of Mathematics and Computer Science, Distinguished by its emphasis on mathematical technique and rigour.

License

And for the sake of copyleft, here's our license:

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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