UID:
almafu_9961190497702883
Format:
1 online resource (x, 288 pages) :
,
digital, PDF file(s).
Edition:
Third edition.
ISBN:
1-009-03435-9
,
1-009-02972-X
Content:
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.
Note:
Title from publisher's bibliographic system (viewed on 01 Aug 2023).
,
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.
Additional Edition:
ISBN 1-009-01480-3
Language:
English
Subjects:
Computer Science
URL:
Volltext
(URL des Erstveröffentlichers)
URL:
https://doi.org/10.1017/9781009029728
