Mastering Number Theory in Python by Jamie Flux (.PDF)

File Size: 2.94 MB

Mastering Number Theory in Python by Jamie Flux
Requirements: .PDF reader, 2.94 MB
Overview: This comprehensive book delves into the intricate world of advanced Number Theory. The book covers foundational concepts, classic algorithms and theorems, advanced topics, analytic Number Theory, additive and multiplicative Number Theory, special Number Theoretic functions, cryptographic applications, computationally intensive problems, advanced mathematical tools, probabilistic Number Theory, and computational Number Theory.

With each chapter, readers will gain a deeper understanding of the complexities and beauty of Number Theory and its wide-ranging applications in various fields including cryptography, computer science, and physics. This book is a valuable resource for mathematicians, researchers, and students interested in the fascinating world of Number Theory and its many intricate aspects.
Genre: Non-Fiction > Tech & Devices , Mathematics, Science, Programming, Python, Cryptography

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https://rapidgator.net/file/0a8accefc8b14bbc04033d789a9f3f3c/B0D8WDQ1MP.pdf.html