Skip to content

ace-rad/cookbook-2nd

 
 

Repository files navigation

IPython Cookbook, Second Edition (2018)

IPython Cookbook, Second Edition IPython Interactive Computing and Visualization Cookbook, Second Edition (2018), by Cyrille Rossant, contains over 100 hands-on recipes on high-performance numerical computing and data science in the Jupyter Notebook.

This repository contains the sources of the book (in Markdown, CC-BY-NC-ND license).

Get the code as Jupyter notebooks
Get the Google Chrome extension to see LaTeX equations on GitHub
Buy the book

Contents

Recipes marked with an asterisk * are only available in the book.

Contributing

For any comment, question, or error, please open an issue or propose a pull request.

Presentation

Python is one of the leading open source platforms for data science and numerical computing. IPython and the associated Jupyter Notebook offer efficient interfaces to Python for data analysis and interactive visualization, and they constitute an ideal gateway to the platform.

IPython Interactive Computing and Visualization Cookbook, Second Edition 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.

The first part of the book covers programming techniques: code quality and reproducibility, code optimization, high- performance computing through just-in-time compilation, parallel computing, and graphics card programming. The second part tackles data science, statistics, machine learning, signal and image processing, dynamical systems, and pure and applied mathematics

About

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 35.3%
  • HTML 24.7%
  • CSS 23.3%
  • Makefile 11.3%
  • Shell 5.4%