Algorithms

Learn and implement algorithms: sorting, searching, graph theory, and dynamic programming. Includes code examples, explanations, and performance analysis.

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Table of Contents

• Websites
• YouTube Playlists
• Online Courses
• Books
  • Algorithms and Data Structures
  • Algorithm Analysis
  • Randomized Algorithms
• Cheat Sheets
• Github Libraries
• Online Judges
• Blogs
• Tools
• Algorithm Visualization
  • Projects
  • Libraries & Tools
  • References
  • Examples
• Audit Algorithms
  • Papers by Year
  • Related Events

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

• Tim Roughgarden. Algorithms Illuminated - Tim Roughgarden, a pioneer of computer science, offers a companion to his book, with lecture videos and slides.
• 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.
• MIT OpenCourseWare - Design and Analysis of Algorithms (6.046J) - In-depth lectures on advanced algorithms by MIT professors.

Online Courses

Free and High-Quality Courses Online

• Algorithms: Divide and Conquer, Sorting and Searching, and Randomized Algorithms - The primary topics are: asymptotic ("Big-oh") notation, sorting and searching, divide and conquer, and randomized algorithms.
• Algorithms: Graph Search, Shortest Paths, and Data Structures - The primary topics are: data structures, graph primitives, and their applications.
• Algorithms: Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming - The primary topics are: greedy algorithms and dynamic programming.
• Algorithms: Shortest Paths Revisited, NP-Complete Problems and What To Do About Them - The primary topics are: shortest paths, NP-completeness and what it means for the algorithm designer, and strategies for coping with computationally intractable problems.
• Algorithms, Part I - This course covers the essential information that every serious programmer needs to know about algorithms and data structures. Part I covers elementary data structures, sorting, and searching algorithms.
• Algorithms, Part II - Part II focuses on graph- and string-processing algorithms.
• Khan Academy Algorithms - Algorithm course ministered by Tomas Cormen and Devin Balkcom.
• 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.
• MIT 18-409 - Topics in Theoretical Computer Science: An Algorithmist's Toolkit - It covers a collection of geometric techniques that apply broadly in modern algorithm design.
• Udacity Intro to Algorithms - Python-based Algorithms course.
• Algorithms in Motion - Beginner's algorithms course with fun illustrations, based on the book Grokking Algorithms
• Stanford CS161: Design and Analysis of Algorithms - A comprehensive course covering fundamental algorithm design principles.

Books

Algorithms and Data structures

• Algorithm Design - Pretty straightforward.
• [Algorithms](http://algs4.cs.prin