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project-euler
project-euler
 
 
LICENSE
LICENSE
 
 
README.md
README.md
 
 
amazon_array-mod-three.py
amazon_array-mod-three.py
 
 
amazon_prime-movies.py
amazon_prime-movies.py
 
 
circular-array-maxsum.c
circular-array-maxsum.c
 
 
clock-angle.py
clock-angle.py
 
 
closest-duplicate.py
closest-duplicate.py
 
 
codevita_path-through-graph.cpp
codevita_path-through-graph.cpp
 
 
codevita_string-rotation.py
codevita_string-rotation.py
 
 
codility_find-max-apples.py
codility_find-max-apples.py
 
 
facebook_philosophers-stone.cpp
facebook_philosophers-stone.cpp
 
 
matrix-diagonal-lexicographic.py
matrix-diagonal-lexicographic.py
 
 
microsoft_alien-dictionary.py
microsoft_alien-dictionary.py
 
 
next-permutation.py
next-permutation.py
 
 
rotate-matrix.cpp
rotate-matrix.cpp
 
 
search-functions.cpp
search-functions.cpp
 
 
sliding-window.c
sliding-window.c
 
 
spiral-matrix.cpp
spiral-matrix.cpp
 
 
string-anagram.cpp
string-anagram.cpp
 
 
string-combined-palindrome.py
string-combined-palindrome.py
 
 
string-divisibility.py
string-divisibility.py
 
 
tree-orders.py
tree-orders.py
 
 
truth-or-dare.py
truth-or-dare.py
 
 

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Personal Coding Playground

This repository contains a collection of coding solutions, algorithm implementations, and problem-solving exercises across various languages and domains. It is organized for learning, experimentation, and interview preparation.

Structure

  • project-euler/: Solutions to Project Euler problems in multiple languages (C++, Python, Java, JavaScript, Haskell, Rust, Solidity).
  • DSA Problems: Standalone scripts for DSA problems (C, C++, Python) from platforms or books.
  • Company/Contest Problems: Solutions to problems from coding interviews and contests (Amazon, Microsoft, Facebook, CodeVita, Codility, etc.).

Languages Used

  • Python
  • C / C++

Usage

  • Browse the folders and files for problem statements and solutions.
  • Each file is self-contained and can be compiled or run independently.
  • For Project Euler, see project-euler/README.md

This repository is for personal learning and practice. Code quality and optimization may vary by file and problem. Contributions and suggestions are welcome!

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Random problems for coding interviews or contests

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