Numerical Python

  Robert Johansson is a comprehensive guide to numerical computing in Python, focusing on the powerful NumPy, SciPy, pandas, and Matplotlib libraries.

This book provides clear explanations and practical examples for scientific computing, data analysis, and visualization.

It covers essential topics like array operations, linear algebra, optimization, and statistical methods, making it ideal for researchers, engineers, and data scientists.

With a hands-on approach, readers learn to efficiently solve numerical problems using Python’s ecosystem.