Numerical Python
scientific computing and data science applications with numpy, scipy and matplotlib
$159.99
- Paperback
492 pages
- Release Date
28 September 2024
Summary
Unleash the Power of Numerical Python: A Comprehensive Guide to Scientific Computing and Data Analysis
Learn how to leverage the scientific computing and data analysis capabilities of Python, its standard library, and popular open-source numerical Python packages like NumPy, SymPy, SciPy, matplotlib, and more. This book demonstrates how to work with mathematical modeling and solve problems with numerical, symbolic, and visualization techniques. It explores applications in science, e…
Book Details
| ISBN-13: | 9798868804120 |
|---|---|
| Author: | Robert Johansson |
| Publisher: | Springer-Verlag Berlin and Heidelberg GmbH & Co. KG |
| Imprint: | APress |
| Format: | Paperback |
| Number of Pages: | 492 |
| Edition: | 3rd |
| Release Date: | 28 September 2024 |
| Weight: | 956g |
| Dimensions: | 254mm x 178mm |
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About The Author
Robert Johansson
Robert Johansson is an experienced Python programmer and computational scientist with a Ph.D. in Theoretical Physics from Chalmers University of Technology, Sweden. He has worked with scientific computing in academia and industry for over 15 years and participated in open source and proprietary research and development projects. His open-source contributions include work on QuTiP, a popular Python framework for simulating the dynamics of quantum systems, and he has also contributed to several other popular Python libraries in the scientific computing landscape. Robert is passionate about scientific computing and software development, teaching and communicating best practices for combining these fields with optimal outcomes: novel, reproducible, extensible, and impactful computational results.
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