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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 — A centralized knowledge base covering design patterns, algorithms, data structures, AWS, and more. Perfect for learning, quick reference, and daily developer use.

📄 This README is also available in other languages:


📚 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.

🚀 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

📂 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.

💡 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 — contributions welcome!

📖 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.

🛠️ 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. ✅

📜 License

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

📝 Changelog

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

🙌 Acknowledgements

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

📬 Contact

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


Happy coding! 🚀

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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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