• A curated list of algorithms to learn and/or practice algorithms. Inspired by the curiosity for learning programming from scratch

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

• Binary search
• Asymptotic notation
• Selection sort
• Insertion sort
• Recursive algorithms
• Towers of Hanoi
• Merge sort
• Quick sort
• Graph representation
• Breadth-first search
• Depth-First Search
• Further learning

• Pre-requisites:

  • Learn Basic Language C, C++ or Python
  • Practice on online coding platforms (hackerrank, spoj, codechef, codeforces)

• Online courses

• 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..
• 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.
• Udacity Intro to Algorithms - Python-based Algorithms course.
• Algorithms in Motion - Beginner's algorithms course with fun illustrations, based on the book Grokking Algorithms

 ├── Algorithm Name │ ├── Notes │ ├── notes.md | ├──Simple Questions | ├──basicquestion.md | ├──Medium or Hard Questions | ├──medium-hard-questions.md └── README.md 

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

• 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.
• Sport of Programming - Really informative blog for starting with the sport of programming.
• Algorithms and Data Structures - For getting deeper knowledge of algorithms and how to think in right direction.

Some tools that can help you in the learning of algorithms

• interactive-coding-challenges - Interactive, test-driven coding challenges (algorithms and data structures).

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