README.md

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] (https://github.com/tayllan/awesome-algorithms/blob/master/CONTRIBUTING.md).

• Awesome Algorithms
  • Websites
  • Online Courses
  • Books
  • Github Libraries
  • Online Judges
  • Tools

Websites

Websites you should use to learn classic algorithms

• Wikipedia - Algorithms - Of course!!
• Wikipedia - Data Structures - and why not ?!!
• Geeks for Geeks - Lots and lots of well explained and implemented algorithms.
• Data Structure Visualizations - Visualize the behavior of Data Structures and play with its operations.
• Algorithms Visualization - A dense article on Algorithms Visualization.
• Big-O Cheat Sheet - Big-O complexities of common algorithms used in Computer Science.
• stoimen's web log - Some algorithms nicely explained.
• VisuAlgo - Visualising data structures and algorithms through animation.
• Algomation - A didactic, animated, exposition of algorithms.
• Algorithmist - The Algorithmist is a resource dedicated to anything algorithms - from the practical realm, to the theoretical realm. There are also links and explanation to problemsets.
• Learn Algorithms - A website that explains some algorithms very well and simply, even for the most novice of programmers.
• Sorting Algorithms - Nice and simple animations of sorting algorithms. With short codes and discussions.

Online Courses

Free and High Quality Courses Online

• MIT - 6-00sc - An easy and well explained introduction to algorithms.
• MIT - 6-006 - Well explained algorithms.
• MIT - 6-046j - Similar to the previous one, but with different algorithms.
• YogiBearian YouTube Channel - Lots of well explained vidoes on various computer science subjects.
• Algorithms: Design and Analysis, Part 1 - Course mainly based on the book "Introduction to Algorithm".
• Algorithms: Design and Analysis, Part 2 - Second part, focusing on Greedy and Dynamic paradigms, and NP-Complete problems.
• Udacity Intro to Algorithms - Python-based Algorithms course.
• Khan Academy Algorithms - Algorithm course ministred by Tomas Cormen and Devin Balkcom.

Books

The most highly regarded books to learn algorithms

• Introduction to Algorithms - Essential!
• The Algorithm Design Manual - Easy to read and full of real world examples.
• Algorithm Design - Pretty straight-forward.
• The Art of Computer Programming - The Book.
• Elementary Algorithms - An awesome book about algorithms and data structures.
• Data Structures Using C - The basic concepts and usages of data structures.
• Algorithms - Problems explained with Java, OO good practices, visualizations, and free online resources.
• Swift Algorithms & Data Structures - A practical guide to concepts, theory and code.
• Grokking Algorithms - An illustrated book on algorithms with practical examples.

Github Libraries

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

• C
• CoffeeScript
• C#
  • by @shkolovy
  • by @aalhour
• C++
• Erlang
• Go
• Java
  • by @phishman3579
  • by @asmolich
  • by @psjava
  • by @jeandersonbc
  • by @pedrovgs
• JavaScript
  • by @felipernb
  • by @nzakas
  • by @duereg
  • by @mgechev
• Objective-C
  • by @ EvgenyKarkan
• Python
  • by @nryoung
  • by @prakhar1989
  • by @laurentluce
• Ruby
  • [by @kanwei] (https://github.com/kanwei/algorithms)
  • [by @sagivo] (https://github.com/sagivo/algorithms)
  • [by @kumar91gopi] (https://github.com/kumar91gopi/Algorithms-and-Data-Structures-in-Ruby)
• Scala
• Swift
  • [by @kingreza] (https://github.com/kingreza/Swift-Algorithms-Strings-)
  • [by @waynewbishop] (https://github.com/waynewbishop/SwiftStructures)
  • by @hollance
• Language agnostic
  • by @kennyledet
  • by @indy256
  • by @sagivo
  • by @patmorin

Online Judges

Online Judges to practice what you learned above

• UVA - Hundreds of problems (from previous ACM-ICPC Regionals, World Finals and others).
• SPOJ - More problems.
• ACM-ICPC Live Archive - Hundreds of problems from previous ACM-ICPC Regionals and World Finals.
• URI - Brazilian Online Judge. Not so much problems, but it's growing and it has online contests.
• CodeChef - More problems and monthly online contests.
• CodeMarshal - Real world contests online!
• ProjectEuler - Mathematical problems that can be solved using algorithms (or just a pencil, depends on how much you already know).
• TopCoder - Lots of problems and real world/money worthy problems in Graphic Design, Data Science and Development.
• Learneroo Algorithms Tutorials - Learn and practice algorithms by solving challenges online.
• Infoarena - Romanian Online Judge. 1500+ algorithmic problems
• AIZU ONLINE JUDGE - Japanese Online Judge.
• PKU JudgeOnline - Chinese Online Judge.
• Rosalind - A platform for learning bioinformatics and programming through problem solving.
• LavidaOnlineJudge - Korean Online Judge(Half English). 1300+ problems.
• LeetCode - Learn algorithms and prepare for interviews.
• HackerRank - Featured algorithm and functional programming online judges
• HackerEarth - Practice alogrithmic problems & challenges and participate in hiring challenges.
• Codeforces - The only programming contests Web 2.0 platform
• CoderByte - A decent website with algorithm challenges from beginner to advanced levels. Supports most of the popular languages like C++, python, javascript, ruby.
• ShareCode.io - Online Judge and contest host with a lot of algorithmic problems in the archive to practice.

Tools

Some tools that can help you in the learning of algorithms

• flow-chart.js - A tool that allows you to create flowcharts that can simulate real algorithms.
• interactive-coding-challenges - Interactive, test-driven coding challenges (algorithms and data structures).

License

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

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