Python Programming for Mathematics

1. Auflage 2024
ISBN: 978-1-032-93338-2
Verlag: Taylor & Francis Ltd

Buch, Englisch, 248 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 453 g

Reihe: 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.

Zielgruppe

Postgraduate and Undergraduate Core

Autoren/Hrsg.

Guillod, Julien

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
• Mathematik | Informatik Mathematik Mathematik Allgemein Zahlensysteme
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Numerische Mathematik
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle

Inhaltsverzeichnis

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.

Über Autor(innen)

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.