computer-science-engineering / learning-computer-science

Learning data structures, algorithms, machine learning and various computer science constructs by programming practice from resources around the web.
MIT License
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algorithms cloud-computing coding-challenges competitive-programming computer-science cs-books data-structures distributed-systems hackerrank interview interview-questions interviewbit learning learning-by-doing leetcode machine-learning notes practice technical-interviews

Learning Computer Science

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  1. Overview
  2. Project
    1. Project Management
  3. Product
  4. Development
    1. Contributing
  5. Links
  6. Notes
  7. License

Overview

Learning data structures, algorithms, machine learning and various computer science constructs by programming practice from resources around the web.

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Project

Document Link
Metadata ./documentation/project/metadata.md

Project Management

GitHub Projects

Product

Document Link
Installation ./documentation/product/installation.md
Usage ./documentation/product/usage.md

Development

Document Link
Design and Architecture ./documentation/development/design-architecture.md
Requirements ./documentation/development/requirements.md
Testing ./documentation/development/testing.md
CI/CD ./documentation/development/ci-cd.md

Contributing

./.github/CONTRIBUTING.md

Links

Notes

  1. Problems in the repository are not necessarily solved by me. The goal is to learn. Sometimes in the interest of time, that involves understanding an existing solution rather than spending an inordinate amount of time trying to solve it by myself. Where applicable I have provided references to the original solution.
  2. Problems in this repository are not unique. Given that the same (or similar) problem may exist in multiple origins, more than a few problems are repeated. It is my goal to provide some sort of querying mechanism via a website for users to view only a unique instance of a problem, either from a "first or default" origin or a specified origin.

License

MIT