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Tech Notes Hub: All-in-one technical notes & code snippets - covering design patterns, algorithms, data structures, AWS, and more. A centralized knowledge base for learning, reference, and daily use.

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Tech Notes Hub – Technical notes & practical code snippets

All-in-one technical notes & code snippets β€” A centralized knowledge base covering design patterns, algorithms, data structures, AWS, and more. Perfect for learning, quick reference, and daily developer use.

πŸ“„ This README is also available in other languages:


πŸ“š Overview

Tech Notes Hub is a curated collection of technical notes and code snippets aimed at helping developers deepen their understanding and speed up coding tasks. This repository covers a wide range of topics including:

  • Design Patterns
  • Algorithms & Data Structures
  • Cloud & AWS Services
  • Software Architecture
  • System Design
  • Best Practices & Tips

and many more.

It's designed to be your go-to resource whether you're preparing for interviews, building projects, or learning new concepts.

πŸš€ Features

  • Well-organized notes and examples
  • Clear and concise explanations
  • Language-agnostic concepts with code snippets in popular languages
  • Regularly updated content
  • Easy to browse and search

πŸ“‚ Contents

  • Design Patterns: Singleton, Factory, Observer, Strategy, etc.
  • Algorithms: Sorting, Searching, Graphs, Dynamic Programming
  • Data Structures: Arrays, Linked Lists, Trees, Graphs, Hash Tables
  • AWS: EC2, S3, Lambda, CloudFormation, IAM, and more
  • System Design: Scalability, Caching, Load Balancing
  • Miscellaneous: DevOps, CI/CD, Security tips, etc.

πŸ’‘ Why Use Tech Notes Hub?

  • Centralized knowledge saves time searching multiple resources
  • Clear code snippets make concepts easy to understand and apply
  • Great for interview prep and daily coding challenges
  • Open source and community-driven β€” contributions welcome!

πŸ“– How to Use

Simply browse the folders or use GitHub's search feature to find the topic or pattern you need. Each note is designed to be self-contained with theory and practical code.

For a complete table of contents with all available notes and resources, check out the SUMMARY.md file.

🐳 Docker Environments

This repository includes Docker configurations for running code snippets in various programming languages. To run a code snippet:

./docker/run-snippet.sh snippets/path/to/your/snippet.py

For more information on Docker usage, see the Docker README.

πŸ› οΈ Utilities

This repository contains utility scripts in the /tools directory to help maintain the documentation.

Updating Markdown Frontmatter

The update-frontmatter.js script automatically updates metadata in Markdown files:

# First, install Node.js dependencies
npm install

# Run the script (updates all Markdown files)
node tools/update-frontmatter.js

# Update a specific file
node tools/update-frontmatter.js algorithms/sorting-algorithms.md

Generating Table of Contents

The generate_summary.py script automatically creates the SUMMARY.md file:

# Run the script to generate a new table of contents
python tools/generate_summary.py

For more information about available tools, see the Tools README.

🀝 Contribution

Contributions are highly welcome! If you want to:

  • Add new notes or code snippets
  • Improve existing explanations or examples
  • Report issues or suggest new topics

Please follow the guidelines in the CONTRIBUTING.md file.

Before submitting a pull request, make sure to check the Pull Request Rules to see what's allowed. βœ…

πŸ“œ License

This project is licensed under the MIT License. See the LICENSE file for details.

πŸ“ Changelog

For a detailed list of all notable changes to this project, please see the changelog file.

πŸ™Œ Acknowledgements

Thanks to all contributors and the open source community for making this knowledge base better every day.

πŸ“¬ Contact

If you have any questions or suggestions, feel free to open an issue or contact the maintainer:


Happy coding! πŸš€

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Tech Notes Hub: All-in-one technical notes & code snippets - covering design patterns, algorithms, data structures, AWS, and more. A centralized knowledge base for learning, reference, and daily use.

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