Numerical Python: Scientific Comput..., Robert Johansso

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Add World of Books to your favourites and receive email newsletters about special promotions! General Interest Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib

Product Details:

Category: Books ISBN: 9798868804120 Title: Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib The Fast Free Shipping Author: Robert Johansson Publisher: APress Year Published: 2024 Number of Pages: 492 Book Binding: Paperback Prizes: N/A Book Condition: GOOD SKU: CINB0D2CHYKQRG Item description

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.

What You\'ll Learn

• Work with vectors and matrices using NumPy
• Review Symbolic computing with SymPy
• Plot and visualize data with Matplotlib
• Perform data analysis tasks with Pandas and SciPy
• Understand statistical modeling and machine learning with statsmodels and scikit-learn
• Optimize Python code using Numba and Cython

Who This Book Is For

Developers who want to understand how to use Python and its ecosystem of libraries for scientific computing and data analysis. 

Please note, the image is for illustrative purposes only, actual book cover, binding and edition may vary.

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