Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
Language: English
Published by Apress, 2018
- Softcover
- Used
Seller: Big River Books, Powder Springs, GA, U.S.A.Big River Books
AbeBooks seller since June 7, 2013
Condition: Used - Good
US$ 13.98
Quantity: 1 available
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This book is in good condition. The cover has minor creases or bends. The binding is tight and pages are intact. Some pages may have writing or highlighting.
Seller Inventory # BRV.1484242459.G
- Title
- Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
- Author
- Johansson, Robert
- Publisher
- Apress
- Publication year
- 2018
- Condition
- good
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1484242459
- ISBN 13
- 9781484242452
- Edition
- 2nd Edition
Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute solutions and mathematically model applications in big data, cloud computing, financial engineering, business management and more.
Numerical Python, Second Edition, presents many brand-new case study examples of applications in data science and statistics using Python, along with extensions to many previous examples. Each of these demonstrates the power of Python for rapid development and exploratory computing due to its simple and high-level syntax and multiple options for 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.
What You'll Learn
- Work with vectors and matrices using NumPy
- Plot and visualize data with Matplotlib
- Perform data analysis tasks with Pandas and SciPy
- Review statistical modeling and machine learning with statsmodels and scikit-learn
- Optimize Python code using Numba and Cython
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Big River Books
Powder Springs, GA, U.S.A.
AbeBooks seller since June 7, 2013
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