Python Programming for Mathematics

Julien Guillod

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English

Chapman & Hall/CRC
04 December 2024

Numerical analysis; Computing: general; Programming & scripting languages: general; Software Engineering; Mathematical theory of computation

Series: Chapman & Hall/CRC The Python Series

Python Programming for Mathematics focuses on the practical use of the Python language in a range of different areas of mathematics. Through fifty-five exercises of increasing difficulty, the book provides an expansive overview of the power of using programming to solve complex mathematical problems.

This book is intended for undergraduate and graduate students who already have learned the basics of Python programming and would like to learn how to apply that programming skill in mathematics.

Features

Innovative style that teaches programming skills via mathematical exercises. Ideal as a main textbook for Python for Mathematics courses, or as a supplementary resource for Numerical Analysis and Scientific Computing courses.

By: Julien Guillod
Imprint: Chapman & Hall/CRC
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
ISBN: 9781032933382
ISBN 10: 1032933380
Series: Chapman & Hall/CRC The Python Series
Pages: 238
Publication Date: 04 December 2024
Audience: College/higher education , Primary
Format: Hardback
Publisher's Status: Forthcoming

1. Introduction. 2. Data structures. 3. Homogeneous structures. 4. Plotting. 5. Integration. 6. Algebra. 7. Graph theory. 8. Symbolic calculation. 9. Root finding. 10. Probability and statistics. 11. Differential equations. 12. Data Science. 13. Cryptography.

Julien Guillod is an Associate Professor of Applied Mathematics at Laboratoire Jacques-Louis Lions of Sorbonne University in Paris, a part-time member of the Department of Mathematics and Applications of ENS Paris, and a member of an Inria team. He earned a PhD in Physics from the University of Geneva in 2015. Guillod’s research focuses mainly on the analysis of partial differential equations in fluid mechanics, involving both traditional analysis and numerical simulations. The numerical aspects are mainly used to gain insight into the problems considered, or to discover fundamental properties of the equations studied. His favorite and most commonly used language for these simulations is Python. Most of his research is related in one way or another to the Navier-Stokes equations.