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

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• Awesome Algorithms
  • Beginner-Friendly
  • Programming Contest
  • Theory & Fundamentals
  • Production System
  • Database
  • Special Topic
  • Cheat Sheet
  • Related Awesome List

• Khan Academy Algorithms - Algorithm course ministered by Tomas Cormen and Devin Balkcom.
• FreeCodeCamp - Algorithms and Data Structures Tutorial - Full Course for Beginners - Complete beginner friendly Algorithms and Data Structures Tutorial with mindblowing animation.
• Abdul Bari - Introduction to Algorithm - This playlist is so much informative and provide simulation with code example. As like as you are in a class.
• Jenny's Lectures- Algorithm - Another complete algorithm playlist from basic level to intermediate. Easy explanation and simulation.

• Real World Algorithms: A Beginner's Guide - An introduction to algorithms for readers with no background in advanced mathematics or computer science.
• Levitin. Introduction to Algorithms - A very accessible illustration of algorithms in the forms of puzzles. No programming experience is required!

• Algorithm Visualizer - Dozens of animated algorithms (with code), and you can also create your own.
• VisuAlgo - Visualising data structures and algorithms through animation.
• redblobgames - interactive visual explanations of math and algorithms, using motivating examples from computer games.

• CP-Algorithms - Algorithms and data structures are especially popular in the field of competitive programming.

• Steven Halim. Competitive Programming book

• HackerEarth - Accessible tutorials for beginners.
• Code Chef - Accessible problems for beginners.
• Codeforces - Challenging problems.
• TopCoder - Sponsored by tech companies.
• Leet Code - Interviews problems.
• UVA - Archives previous ACM-ICPC Regionals and World Finals.
• ProjectEuler - Math oriented problems.

• An awesome list for competitive programming! - Awesome blog for all the resources and list of books and algorithms.
• Algorithms Weekly - A good blog by Petr Mitrichev, mainly in Java.
• Algorithm Tutorials by Tanuj Khattar - Excellent blog by Tanuj Khattar. Covers tutorials on some interesting data structures along with example problems to solve.

• Introduction to Algorithms - Standard classic for anyone.
• The Art of Computer Programming - Knuth's classic.
• The Algorithm Design Manual - Easy to read and full of real-world examples.

• MIT - 6-006 - Well explained algorithms.
• MIT - 6-046j - Similar to the previous one, but with different algorithms.
• MIT - 6-00sc - An easy and well-explained introduction to algorithms.

• Tim Roughgarden. Algorithms Illuminated - Tim Roughgarden, a pioneer of computer science, offers a companion to his book, with lecture videos and slides.

• Performance Engineering of Software Systems. MIT OCW - A hands-on, project-based introduction to building scalable and high-performance software systems. Topics include performance analysis, algorithmic techniques for high performance, instruction-level optimizations, and caching optimizations.
• Cloud and Distributed Computing: Algorithms and Systems by Misra & Patel - It teaches the internals of cloud computing and how concepts of distributed systems work inside clouds.

• PostgreSQL Query Optimization: The Ultimate Guide to Building Efficient Queries - It introduces different classes of queries and optimization techniques suitable to each, such as the use of indexes and specific join algorithms.

• Fabulous Adventures in Data Structures and Algorithms - It teaches lesser-known algorithmic approaches like immutable data structures—stacks, queues, deques, and unusual constructions like Hughes lists.

• Tech Interview Cheat Sheet
• Princeton DS Cheat Sheet
• CLRS in short
• Rice university DS course in short
• Algo Deck - An open-source collection of +200 algorithmic cards.

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

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