Computational Physics Using Python By Douglas M. Gingrich
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- Pages
- 299
- File size
- 18.99 MB
- Format
- Digital PDF
- Course
- Education
- Category
- eBook[PDF]
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About this ebook
Computational Physics Using Python by Douglas M. Gingrich is a textbook published by CRC Press / Routledge. It serves as a practical guide for applying numerical methods to complex physics problems. [1, 2, 3]
Core Methodology
The textbook relies on a two-level pedagogical approach: [1]
- Level 1: Introduces core concepts at the lowest foundational level. Readers program basic algorithms manually to understand the mechanics.
- Level 1: Transitions into problem sets where students use existing Python library models to tackle higher-level, complex scenarios. [1]
Note: The book does not explicitly teach foundational Python programming syntax. It assumes readers possess intermediate coding skills and focuses purely on physics applications. [1]
Key Features
- Broad Scope: Covers classical numerical algorithms, ordinary/partial differential equations, and spectral methods.
- Data Focus: Includes a dedicated chapter on data analysis and statistics, a rarity for standard computational physics textbooks.
- Stochastic Modeling: Explores Monte Carlo methods for probabilistic physics simulations.
- Support Material: Fully worked code solutions and outputs are accessible through the Routledge Product Page. [1, 2]
Target Audience
The material is tailored for advanced undergraduate or introductory graduate students in physics and engineering. Readers should have a solid footing in junior-level university mathematics and physics. [1]
About the Author
Doug Gingrich is a Professor at the University of Alberta with a PhD from the University of Toronto. He is an experimental particle physicist with extensive research contributions in gravitation, astronomy, and subatomic physics. [1]
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18.99 MB