karumanchi

Almost all problems and codes from Data Structures Made Easy by Narasimha Karumanchi. Mostly written in C++, this repository follows the C++ Best Practices written by Jason Turner. Some of the code follows the general C++ 11 guidelines such as replacing conventional NULL pointers with nullptr.

Some extra implementations have been added as side-projects, mostly written in Java, Python and Assembly. Each sub-directory comes with a readme to help understamd the workflow of the code in the directory. Please find the same as you are contributing.

Changelog

• Patch #112: Start CCDSAP preparation.
• Patch #109: Complete practical Karumanchi.
• Patch #106: Start Karumanchi Chapter 17 and 19.
• Patch #102: Add Template Metaprogramming in C++.
• Patch #100: Start Karumanchi Chapter 18.
• Patch #97: Add 8086 and update Internet Technology and Quantum Computing.
• Patch #96: Redo versioning.
• Patch #95: Add Internet Technology and Quantum Computing.
• Patch #90: Start electron application development and remove local packages.
• Patch #88: Add Developer Certificate of Origin.
• Patch #87: Start Karumanchi Chapter 15.
• Patch #80: Add Karumanchi Chapter 11.
• Patch #78: Add python utility to redo Karumanchi workflow.

Pathway

How to find stuff in this repo?

• Bloom Filter
• Codechef
• Codeforces
• External Sorting
• Internet Technology
• JavaScript Algorithms
• Karumanchi

  • Chapter 1 - Introduction
  • Chapter 2 - Recursion and Backtracking
  • Chapter 3 - Linked Lists
  • Chapter 4 - Stacks
  • Chapter 5 - Queues
  • Chapter 6 - Trees
  • Chapter 7 - Priority Queues and Heaps
  • Chapter 8 - Disjoint Sets ADT
  • Chapter 9 - Graph Algorithms
  • Chapter 10 - Sorting
  • Chapter 11 - Searching
  • Chapter 12 - Selection Algorithms [Medians]
  • Chapter 13 - Symbol Tables
  • Chapter 14 - Hashing
  • Chapter 15 - String Algorithms
  • Chapter 17 - Greedy Algorithms
  • Chapter 18 - Divide and Conquer
  • Chapter 19 - Dynamic Programming
• Quantum Computing
• SPOJ
• Standard Template Library (C++)

Contributing

Please checkout the contribution guideline here.

How to run the algorithms?

Please find the the how to run guide here.

Craving for more?

You can find this resource particularly cool to put in use while you’re here.

License

Copyright © 2018 Sambhav Jain under LGPL-3.0

Happy Hacking!

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