Core | Industry | Meta | Web Doc
A practical computer science knowledge base

The Computer Science Notebook is a comprehensive, community-driven knowledge base that bridges the gap between theoretical computer science and its real-world industry applications.

Whether you're a student learning the fundamentals, a professional looking to switch industries, or an experienced developer exploring new domains, this notebook is your companion.

computer-science-notebook/ ├── core/ # Core CS Topics │ ├── programming/ # Languages, patterns, practices │ ├── systems/ # OS, embedded, cloud │ ├── ai-ml/ # AI, ML, computer vision │ └── engineering/ # Architecture, testing, DevOps ├── industry/ # Industry Applications │ ├── automotive/ # Electric vehicles, safety systems │ ├── agriculture/ # Smart farming, IoT │ └── aerospace/ # Navigation, control systems └── meta/ # Project Resources ├── docs/ # Contributing guidelines └── resources/ # Books, courses, interviews 

• Core CS Fundamentals: Comprehensive coverage of essential computer science topics
• Practical Examples: Real code samples and implementations
• Learning Paths: Structured guidance from basics to advanced topics
• Interview Prep: Curated resources for technical interviews

• Industry Applications: Real-world implementations across different sectors
• Case Studies: Detailed analysis of industry-specific solutions
• Best Practices: Industry-standard approaches and methodologies
• Cross-Domain Knowledge: Learn how concepts apply across different industries

Read the notebook Visit our documentation at: https://afondiel.github.io/computer-science-notebook/

# Clone the repository git clone https://github.com/afondiel/computer-science-notebook # Navigate to the project cd computer-science-notebook # Install mdbook (requires Rust) cargo install mdbook # Build and serve locally mdbook build mdbook serve

1. Learning Core CS:

   • Start with /core for fundamental topics
   • Each topic includes theory, examples, and practical applications

2. Industry Applications:

   • Browse /industry for sector-specific implementations
   • Find real-world applications of CS concepts in different domains

3. Resources & Meta:

   • Check /meta for learning resources and project documentation
   • Find interview preparation materials and study guides

We welcome contributions from everyone! Here's how you can help:

1. Add Core Content:

   • Enhance existing CS topics
   • Add new theoretical concepts
   • Contribute code examples

2. Share Industry Experience:

   • Add case studies from your industry
   • Document real-world applications
   • Share industry-specific best practices

3. Improve Resources:

   • Add learning materials
   • Create or enhance documentation
   • Share interview experiences

See our Contributing Guide for detailed instructions.

1. Content Enhancement:

   • Expanding industry coverage
   • Adding interactive examples
   • Creating comprehensive learning paths

2. Technical Features:

   • Add LLM-API for real-time note generation
     • Leverage HF/spaces + Gradio as API endpoints + external UI
     • Users should choose/select the model they want to use based on the available models
   • Interactive code examples
   • Improved search and navigation

3. Community Growth:

   • Industry expert contributions
   • Peer review system
   • Community discussions

This project is licensed under Attribution-NonCommercial-ShareAlike 4.0 International see the LICENSE file for details.

If you find this notebook helpful:

• Star the repository
• Share it with others
• Contribute your knowledge
• Report issues or suggest improvements

Special thanks to all contributors who have helped make this knowledge base possible. Together, we're making computer science education more accessible to everyone.

As a lifelong learner and advocate for accessible education, I hope this project helps you in your journey. Feel free to reach out with questions or suggestions!

Cheers,
@Muntu