Book Image

Mastering IPython 4.0

By : Thomas Bitterman, Dipanjan Deb
Book Image

Mastering IPython 4.0

By: Thomas Bitterman, Dipanjan Deb

Overview of this book

IPython is an interactive computational environment in which you can combine code execution, rich text, mathematics, plots, and rich media. This book will get IPython developers up to date with the latest advancements in IPython and dive deep into interactive computing with IPython. This an advanced guide on interactive and parallel computing with IPython will explore advanced visualizations and high-performance computing with IPython in detail. You will quickly brush up your knowledge of IPython kernels and wrapper kernels, then we'?ll move to advanced concepts such as testing, Sphinx, JS events, interactive work, and the ZMQ cluster. The book will cover topics such as IPython Console Lexer, advanced configuration, and third-party tools. By the end of this book, you will be able to use IPython for interactive and parallel computing in a high-performance computing environment.
Table of Contents (18 chapters)
Mastering IPython 4.0
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
6
Works Well with Others – IPython and Third-Party Tools
Index

Bokeh


Bokeh is a Python interactive visualization library that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of novel graphics in the style of D3.js and extend this capability with high-performance interactivity over very large or streaming datasets. Bokeh can help anyone who wants to quickly and easily create interactive plots, dashboards, and data applications.

For our purposes, Bokeh can be used to produce graphics that will be viewed from web browsers. Although it does not support the same sort of command-line interactivity as Matplotlib when used in this manner, the ability to produce durable images that are easily viewed remotely is important for purposes such as reporting. In addition, Bokeh's ability to generate web pages using HTML, JavaScript, and CSS means that the graph itself can be as interactive as those tools can make it.

A command-line-driven interactive approach is supported when using a Bokeh server, but this is beyond...