John M. Stewart, Michael Mommert

Python for Scientists (eBook, PDF)

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 17. August 2023
• Englisch
• ISBN-13: 9781009034357
• Artikelnr.: 69003123

Autorenporträt

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).

Inhaltsangabe

1. Introduction
2. About Python
3. Basic Python
4. NumPy - Numerical math
5. SciPy - Numerical methods
6. Matplotlib - Plotting
7. SymPy - Symbolic math
8. Pandas - Data handling
9. Performance Python
10. Software development tools
Index.