tayllan/awesome-algorithms

★ 25,122Audience · developerComplexity · 1/5MaintainedLicenseSetup · easy

Mindmap

mindmap
  root((repo))
    What it does
      Curated resource links
      No code included
      Organized by audience
    Resource types
      Video tutorials
      Interactive visualizations
      Textbooks and theory
      Competitive platforms
    Learning paths
      Beginner fundamentals
      Interview preparation
      Programming contests
    Topics covered
      Sorting and searching
      Graph algorithms
      Dynamic programming
      Distributed systems

mindmap root((repo)) What it does Curated resource links No code included Organized by audience Resource types Video tutorials Interactive visualizations Textbooks and theory Competitive platforms Learning paths Beginner fundamentals Interview preparation Programming contests Topics covered Sorting and searching Graph algorithms Dynamic programming Distributed systems

Things people build with this

USE CASE 1

Find beginner-friendly algorithm tutorials and visualizations to understand how sorting and searching work.

USE CASE 2

Prepare for technical job interviews by accessing curated cheat sheets and practice problem collections.

USE CASE 3

Train for competitive programming contests by discovering platforms like LeetCode and Codeforces.

USE CASE 4

Study advanced topics like distributed systems and database optimization through linked textbooks and MIT lectures.

Getting it running

Difficulty · easy Time to first run · 5min

Use freely for any purpose, including commercial use, as long as you keep the copyright notice.

In plain English

Awesome Algorithms is a curated collection of links pointing to the best places on the internet to learn or practice algorithms. Algorithms are step-by-step problem-solving procedures used in software, sorting a list, searching a database, finding the shortest path on a map, and learning them is a core part of becoming a developer or passing technical job interviews. This repository does not contain code itself; it is a directory of resources organized by audience and purpose. Beginners can find YouTube playlists (including Khan Academy and FreeCodeCamp), introductory books, and interactive visualization tools like VisuAlgo that animate how algorithms work step by step. Those preparing for programming contests will find links to competitive coding platforms such as LeetCode, Codeforces, and HackerEarth. There are also sections covering theoretical textbooks like the classic "Introduction to Algorithms," MIT OpenCourseWare lecture series, cheat sheets for interview preparation, and specialty topics like database query optimization and distributed systems. You would use this list if you are a student learning computer science fundamentals, a developer preparing for job interviews, or someone entering programming competitions and wanting to know where to start. There is no single programming language required, the linked resources span Python, JavaScript, Java, and more.

Copy-paste prompts

Prompt 1

I'm learning algorithms for the first time. What resources from awesome-algorithms would you recommend I start with?

Prompt 2

Help me use awesome-algorithms to build a 12-week study plan for passing a technical interview.

Prompt 3

I want to compete in programming contests. Which platforms and resources from awesome-algorithms should I focus on?

Prompt 4

Show me how to use the visualization tools linked in awesome-algorithms to understand dynamic programming.

Prompt 5

I need to learn about distributed systems algorithms. What textbooks and courses does awesome-algorithms recommend?

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