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NUMERICAL PYTHON : scientific computing and data science applications with numpy, scipy and... matplotlib by Robert Johansson is a science book available to read on EtoBox.

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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, engineering, data analytics, and more. Numerical Python, Third Edition, presents many case study examples of applications in fundamental scientific computing disciplines, as well as in data science and statistics. This fully revised edition, updated for each library's latest version, demonstrates Python's power for rapid development and exploratory computing due to its simple and high-level syntax and many powerful libraries and tools for computation and data analysis. After reading this book, readers will be familiar with many computing techniques, including array-based and symbolic computing, visualization and numerical file I/O, equation solving, optimization, interpolation and integration, and domain-specific computational problems, such as differential equation solving, data analysis, statistical mod

Who reads NUMERICAL PYTHON : scientific computing and data science applications with numpy, scipy and... matplotlib?

Author

Robert Johansson

Publisher

Apress : Imprint: Apress

Published

2024

Language

EN

ISBN

9798868804120

Category

science

Subjects

Computer Science, Stem

Rating

4.5 / 5 (131 ratings)

Updated

2026-03-14