Python for Scientists

Python for Scientists by John M Stewart

The third edition of this practical introduction to Python has been thoroughly updated, with all code migrated to Jupyter notebooks. The notebooks are available online with executable versions of all of the book's content (and more). The text starts with a detailed introduction to the basics of the Python language, without assuming any prior knowledge. Building upon each other, the most important Python packages for numerical math (NumPy), symbolic math (SymPy), and plotting (Matplotlib) are introduced, with brand new chapters covering numerical methods (SciPy) and data handling (Pandas). Further new material includes guidelines for writing efficient Python code and publishing code for other users. Simple and concise code examples, revised for compatibility with Python 3, guide the reader and support the learning process throughout the book. Readers from all of the quantitative sciences, whatever their background, will be able to quickly acquire the skills needed for using Python effectively.

'This volume provides an important update to the resources available to physicists and other scientists who manipulate quantitative data for one of their most common tasks: computation … The focus is on providing the practicing scientist a clear, concise guide to an important resource, and the author has chosen his topics appropriatelyBoth Python and this book deserve wide circulation.' Computing Reviews
'I highly recommend this book as a practical guide to real-life scientific programming. The book is well written, interspersed with great humor, and is presented from the viewpoint of a researcher who wants others to avoid suffering the same pitfalls and mistakes that he experienced.' The Leading Edge
'… this book is still an excellent starting point to put you on the tracks to master the language and enjoy the marvels of the latest version of Python.' Adhemar Bultheel, European Mathematical Society (euro-math-soc.eu)

John M. Stewart was Emeritus Reader in Gravitational Physics at the University of Cambridge, and a Life Fellow at King's College, Cambridge before his death in 2016. He was the author of 'Non-equilibrium Relativistic Kinetic Theory (Springer, 1971) and 'Advanced General Relativity' (Cambridge, 1991), and he translated and edited Hans Stephani's 'General Relativity' (Cambridge, 1990). Michael Mommert is Assistant Professor for Computer Vision at the University of St. Gallen, Switzerland, where he combines computer vision and Earth observation to implement efficient learning methods for a wide range of use cases. Before, he was a Solar System Astronomer and actively wrote scientific open-source code for this community.

SKU	Unavailable
ISBN 13	9781009014809
ISBN 10	1009014803
Title	Python for Scientists
Author	John M Stewart
Condition	Unavailable
Binding Type	Paperback
Publisher	Cambridge University Press
Year published	2023-08-17
Number of pages	304
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
Note	Unavailable