A curated library of essential technical books and resources for developers, engineers, and tech enthusiasts
Welcome to our comprehensive collection of technical books and learning resources! This repository serves as a digital library for computer science, software engineering, and technology enthusiasts. Whether you're a beginner starting your coding journey or an experienced developer looking to expand your knowledge, you'll find valuable resources here.
| π Total Categories | ποΈ Resource Types | π Interactive Content |
|---|---|---|
| 7+ | Books, PDFs, Notebooks | Jupyter Notebooks |
- π Repository Structure
- π― Categories Overview
- π Getting Started
- π‘ How to Use
- π€ Contributing
- π License & Copyright
- β Support
π¦ books/
βββ π cheat-sheet/ # Quick reference guides
βββ π§ data-structures-algorithms/ # Data structures & algorithms
βββ π€ deep_learning/ # Deep learning resources
βββ βοΈ devops-books/ # DevOps and infrastructure
βββ π LLMs/ # Large Language Models
βββ π¬ machine_learning/ # Machine learning resources
βββ π python/ # Python programming
βββ π how-tos.md # Quick guides and tutorials
Dive deep into neural networks and AI
- Convolutional Neural Networks
- Neural Network Implementation
- Comprehensive deep learning guides
- Resources: 5+ PDFs covering fundamental to advanced topics
Master the art of language models
- Interactive Content: 12 Jupyter notebook chapters
- Hands-on tutorials from scratch
- Prompt engineering techniques
- Special Features: Step-by-step implementation guides
Build intelligent systems
- Python-based ML implementations
- Ensemble methods and techniques
- 100+ interview questions
- Focus: Practical applications and theory
Master the most versatile programming language
- Complete Python tutorials
- GUI programming with Qt
- Data structures and algorithms
- Bonus: 75 most important LeetCode problems
Scale and deploy with confidence
- Container Technologies: Docker, Kubernetes
- Infrastructure as Code: Terraform, Ansible
- Cloud Platforms: Azure, OpenShift
- Tools & Scripts: 100+ essential commands
Build strong programming fundamentals
- Illustrated algorithm guides
- Problem-solving techniques
- Visual learning approach
Quick reference for busy developers
- Pandas, NumPy, Python essentials
- Ready-to-use code snippets
- Time-saving references
- Git installed on your machine
- PDF reader for documents
- Jupyter Notebook for interactive content
# Clone the repository
git clone https://github.com/centx842/books.git
# Navigate to the repository
cd books
# Explore the content
ls -la
# For Jupyter notebooks (LLMs section)
cd LLMs/Chapters
jupyter notebook- π Browse by Category: Navigate to folders based on your learning goals
- π― Start with Basics: Begin with cheat sheets for quick reference
- π Deep Dive: Use comprehensive books for thorough understanding
- π» Practice: Work through Jupyter notebooks for hands-on experience
- π Iterate: Combine theory with practical implementation
- β Curated Content: Hand-picked high-quality resources
- β Interactive Learning: Jupyter notebooks with code examples
- β Multiple Formats: PDFs, notebooks, and guides
- β Organized Structure: Easy navigation by topic
- β Regular Updates: Fresh content and improvements
- β Comprehensive Coverage: From basics to advanced topics
We welcome contributions! Here's how you can help:
- π Add Resources: Suggest high-quality books or materials
- π Improve Documentation: Enhance README or add descriptions
- π Report Issues: Help us identify and fix problems
- β Star the Repo: Show your support!
# Fork the repository
# Create a feature branch
git checkout -b feature/add-new-resource
# Make your changes
# Commit with descriptive messages
git commit -m "Add: New ML resource - Advanced Algorithms"
# Push and create a pull request
git push origin feature/add-new-resource| Category | Resources | Type |
|---|---|---|
| π LLMs | 12 chapters | Interactive |
| βοΈ DevOps | 20+ guides | PDFs |
| π€ Deep Learning | 5+ books | PDFs |
| π¬ Machine Learning | 4+ resources | PDFs |
| π Python | 5+ tutorials | Mixed |
| π Cheat Sheets | Multiple | PDFs |
Important Notice: This repository contains educational materials for learning purposes. Please respect copyright and licensing terms of individual materials. If you are a copyright holder and believe any content infringes your rights, please contact us immediately.
If you find this repository helpful:
- β Star this repository
- π΄ Fork it for your own use
- π’ Share it with others
- π Report issues or suggest improvements