Paperback. 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.FeaturesInnovative 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. This book 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Detalles bibliogr�ficos

T�tulo: Python Programming for Mathematics (Paperback)
Editor: Taylor & Francis Ltd
Fecha de publicaci�n: 2024
Idioma: Ingl�s
ISBN 10: 1032910119
ISBN 13: 9781032910116
Encuadernaci�n: Paperback
Estado: new

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Sinopsis

This book 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.

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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.

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