Welcome to Tech Books & Learning Resources, a curated collection of top-rated books, online courses, articles, and other materials for anyone interested in Technology, AI, Programming, Data Science, and Software Development.
This repository is designed to provide valuable resources for beginners, intermediate learners, and advanced practitioners alike. Whether you're learning to code, diving deep into machine learning, or exploring the latest trends in tech, you'll find a resource to help you grow.
- Books
- AI & Machine Learning Resources
- Web Development
- Programming Languages
- Software Engineering
- Data Science & Analytics
- Contribute
Here’s a list of some of the best tech books for different areas of interest:
- "Artificial Intelligence: A Modern Approach" by Stuart Russell & Peter Norvig
A comprehensive textbook on AI, great for both beginners and experts. - "Deep Learning" by Ian Goodfellow, Yoshua Bengio, & Aaron Courville
A must-read for anyone diving into deep learning.
- "Clean Code: A Handbook of Agile Software Craftsmanship" by Robert C. Martin
Focuses on writing maintainable and efficient code. - "The Pragmatic Programmer" by Andrew Hunt & David Thomas
A classic that teaches essential skills for becoming a better programmer.
- "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron
Perfect for anyone looking to start implementing ML algorithms with Python. - "Data Science for Business" by Foster Provost & Tom Fawcett
Great for understanding the fundamental concepts behind data science in a business context.
This section contains articles, tutorials, and online resources to help you master AI and ML.
- Google AI: Free courses and resources directly from Google to kickstart your AI journey.
- Stanford University - CS231n: Convolutional Neural Networks for Visual Recognition: A renowned free online course focused on deep learning for computer vision.
- Kaggle: Learn and practice ML through challenges and competitions.
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Frontend Development
- Mozilla Developer Network (MDN): A complete guide to HTML, CSS, JavaScript, and more.
- "Eloquent JavaScript" by Marijn Haverbeke
A great book to learn JavaScript.
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Backend Development
- "Node.js Design Patterns" by Mario Casciaro
Explore how to build scalable applications using Node.js.
- "Node.js Design Patterns" by Mario Casciaro
Explore resources to learn popular programming languages:
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Python
- Python Official Documentation
- "Automate the Boring Stuff with Python" by Al Sweigart
A beginner-friendly book that teaches Python by building practical projects.
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JavaScript
- JavaScript.info
- "You Don’t Know JS" by Kyle Simpson
A deep dive into JavaScript, for those who want to understand the language inside and out.
- Design Patterns: Elements of Reusable Object-Oriented Software: A classic that every software engineer should read to master design patterns.
- Refactoring: Improving the Design of Existing Code: Learn how to improve the structure of existing code with the help of refactoring techniques.
- Coursera - Data Science Specialization: A comprehensive collection of data science courses by Johns Hopkins University.
- "Data Science from Scratch" by Joel Grus
Teaches data science concepts using Python and hands-on exercises.
We welcome contributions! If you have any favorite books, articles, tutorials, or resources that have helped you along your tech learning journey, feel free to contribute by:
- Forking the repository
- Adding your resource to the relevant section
- Submitting a pull request
Help others grow their tech knowledge!
Happy learning! 🎉