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IPython Interactive Computing and Visualization Cookbook

This book contains many ready-to-use, focused recipes for high-performance scientific computing and data analysis, from the latest IPython/Jupyter features to the most advanced tricks, to help you write better and faster code. You will apply these state-of-the-art methods to various real-world examples, illustrating topics in applied mathematics, scientific modeling, and machine learning.

It is for anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, and hobbyists. Basic knowledge of Python/NumPy is recommended. Some skills in mathematics will help you understand the theory behind the computational methods.

Pages : 548 pages
Size : HTML
Downloads: 61
Created: 2020-08-29
License: CC BY-NC-ND 3.0 US
Author(s): Cyrille Rossant

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