Introduces Python for solving physics problems, enabling hands-on learning
Covers differential equations, Fourier transforms, Monte Carlo methods, and data analysis for comprehensive skill development
Two-level problem approach allows readers to first implement algorithms and then use built-in functions
Includes worked solutions and example code for each chapter, with access to full solutions online
Assumes a background in physics or engineering, making it accessible to a wide audience
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Format: Hardback Length: 286 pages Publication date: 02 June 2026 Publisher: Taylor & Francis Ltd
This book provides a practical introduction to using computational (or numerical) methods to solve physics problems using Python, including differential equations, Fourier transforms, Monte Carlo methods, and data analysis. The book is aimed