Networks from Scratch in Python

Neural-Networks-from-Scratch-in-Python

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Networks from Scratch in Python” is a hands-on guide that teaches fundamental networking concepts through practical Python implementations.

This book takes readers on a journey from basic socket programming to building complete network applications, making complex networking topics accessible through clear explanations and concrete code examples.

Key features of Networks from Scratch in Python include:

• Step-by-step tutorials on essential networking protocols (TCP/IP, UDP, HTTP)
• Practical projects like building a web server, chat application, and network scanner
• Coverage of both low-level socket programming and high-level frameworks
• Real-world examples demonstrating network security principles and error handling

The book stands out by:

1. Bridging theory and practice through executable Python code
2. Progressing from simple to complex network implementations
3. Including troubleshooting tips and performance considerations

Perfect for:

• Python developers expanding into network programming
• Computer science students learning networking fundamentals
• Engineers who want to understand networking at the implementation level
• Anyone interested in how network protocols work behind the scenes

With its project-based approach and clean Python examples, Networks from Scratch in Python transforms abstract networking concepts into tangible skills readers can immediately apply in their own projects.