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portada Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
Type
Physical Book
Author
Publisher
Year
2024
Language
English
Pages
512
Format
Paperback
Dimensions
17 x 24 cm
ISBN13
9798868804120
Edition No.
3
Categories

Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib

Robert Johansson (Author) · Apress · Paperback

Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib - Robert Johansson

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Synopsis "Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib"

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 modeling, and machine learning.

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