Name: Practical Computational Number Theory with Python (en Inglés)
SKU: 69025016
Price: 43.61 USD
Availability: InStock
Author: Leonard West
ISBN: 9798194798384

portada Practical Computational Number Theory with Python (en Inglés)

Practical Computational Number Theory with Python (en Inglés)

Formato

Libro Físico

Editorial

Independently Published

Autor

Leonard West

Idioma

Inglés

N° páginas

298

Encuadernación

Tapa Blanda

ISBN13

9798194798384

Practical Computational Number Theory with Python (en Inglés)

Leonard West (Autor) · Independently Published · Tapa Blanda

Libro Nuevo Importado

Envío: 17 a 24 días háb.

$ 79.29$ 43.61

-45%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan más de 100 unidades

$ 43.61

Llega entre el 29 Oct y el 13 Nov a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Practical Computational Number Theory with Python (en Inglés)"

What if you could turn the mathematics of prime numbers, modular arithmetic, and cryptography into working Python code?Practical Computational Number Theory with Python bridges the gap between mathematical theory and practical programming, showing you not only how number-theoretic algorithms work, but why they work.From divisibility and the Euclidean algorithm to primality testing, integer factorization, modular arithmetic, RSA, discrete logarithms, finite fields, and elliptic-curve cryptography, this book takes you step by step from foundational concepts to practical computational applications.Inside, you'll learn how to:Build practical number-theory algorithms with PythonWork with primes, factors, GCDs, and modular arithmeticImplement primality testing and factorization techniquesExplore Euler's theorem, quadratic residues, and continued fractionsBuild and analyze RSA cryptographyUnderstand Diffie-Hellman and discrete logarithmsWork with finite fields and elliptic curvesConduct computational experiments and practical projectsWho is this book for?This book is ideal for Python programmers, computer science and mathematics students, software developers, cybersecurity enthusiasts, and aspiring cryptography practitioners who want to understand the mathematics behind the algorithms they use.You don't need to be an advanced mathematician. If you're ready to learn, experiment, and write Python, this book provides a practical path from number-theory fundamentals to modern cryptographic applications.Learn the mathematics. Write the algorithms. Run the experiments. Understand what makes modern cryptography work.