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Awesome Competitive Programming | Learning Resources For Everyone

Awesome Competitive Programming | Learning Resources For Everyone

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jabirxf

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Awesome Competitive Programming | Learning Resources For Everyone
:man_shrugging:

Journey as a Programmer which lists all algorithms I encountered and some cool blogs to learn them!

Solution of problems on competitive programming websites​

  1. Basic math: https://www.topcoder.com/community/data-science/data-science-tutorials/mathematics-for-topcoders/ 46
  2. Recursion-1: https://www.topcoder.com/community/data-science/data-science-tutorials/an-introduction-to-recursion-part-1/ 6
  3. Recursion-2: https://www.topcoder.com/community/...utorials/an-introduction-to-recursion-part-2/
  4. STL-1: https://www.topcoder.com/community/data-science/data-science-tutorials/power-up-c-with-the-standard-template-library-part-1/ 7
  5. STL-2: https://www.topcoder.com/community/...-c-with-the-standard-template-library-part-2/
  6. Binary Search: https://www.topcoder.com/community/data-science/data-science-tutorials/binary-search/ 8
  7. Prime numbers and Euler function: https://www.topcoder.com/community/data-science/data-science-tutorials/prime-numbers-factorization-and-euler-function/ 7
  8. Combinatorics: https://www.topcoder.com/community/data-science/data-science-tutorials/basics-of-combinatorics/ 1
  9. Greedy Algorithms: https://www.hackerearth.com/practice/algorithms/greedy/basics-of-greedy-algorithms/tutorial/ 5
  10. DP: https://www.topcoder.com/community/data-science/data-science-tutorials/dynamic-programming-from-novice-to-advanced/ 2
  11. Graph Theory-1: https://www.topcoder.com/community/data-science/data-science-tutorials/introduction-to-graphs-and-their-data-structures-section-1/ 4
  12. Graph Theory-2: https://www.topcoder.com/community/...o-graphs-and-their-data-structures-section-2/
  13. Graph Theory-3: https://www.hackerearth.com/practice/algorithms/graphs/shortest-path-algorithms/tutorial/ 2
  14. Minimum Spanning Tree: https://www.hackerearth.com/practice/algorithms/graphs/minimum-spanning-tree/tutorial/ 3
  15. Binary Indexed Tree: https://www.topcoder.com/community/data-science/data-science-tutorials/binary-indexed-trees/ 1
  16. Segment Tree: https://www.hackerearth.com/practice/notes/segment-tree-and-lazy-propagation/ 1
  17. Disjoint-Set: https://www.topcoder.com/community/data-science/data-science-tutorials/disjoint-set-data-structures/ 1
  18. String Matching: https://www.hackerearth.com/practice/notes/exact-string-matching-algorithms/ 2
  19. Trie: https://www.topcoder.com/community/data-science/data-science-tutorials/disjoint-set-data-structures/ 1
  20. RMQ and LCA: https://www.topcoder.com/community/...nge-minimum-query-and-lowest-common-ancestor/
  21. Articulation Points/Bridge Edges: https://www.hackerearth.com/practice/notes/nj/ 1
  22. Maximum Flow: https://www.topcoder.com/community/data-science/data-science-tutorials/maximum-flow-augmenting-path-algorithms-comparison/ 1
  23. Computational Geometry: https://www.hackerearth.com/practice/notes/computational-geometry-i-1/
  24. Mo’s Algorithm: https://blog.anudeep2011.com/mos-algorithm/ 3
  25. Heavy Light Decomposition: https://blog.anudeep2011.com/heavy-light-decomposition 2

Free stuff​

Stanford Online Course​

Javascript​

Python​

Web Development​

GitHub​

Resources​

Machine Learning​

Internships​

Intership to Full-Time​

Jobs and Interviews​

Frontend Interview Preparation​

Apple​

Google​

Facebook​

Facebook - Education​

Spotify​

Amazon​

Twitter​

Microsoft​

Self Driving Car​

Youtube Playlist​

React​

Angular JS​

Firebase​

CSS​

Kotlin​

Setting up your portfolio​

Portfolio​

Cloud Computing​

Internet of Things​

DNS​

Messaging Bots​

Design​

Extras​

Books​

The most highly regarded books to learn algorithms

Bonus: Awesome Resources | Massive List | You Ever Wondered To Get! 27

Source: OneHack.Us & GitHub

ENJOY & HAPPY LEARNING!
:heart:

 

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