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

Format conversion


The Jupyter project includes a tool for format conversion called nbconvert. It is easy to invoke from the command line:

jupyter nbconvert <file>.ipynb

It leaves the original <file>.ipynb alone and produces as output <file>.html. For example, we can transform a previous example as follows:

(Ipython)-bash-4.1$ jupyter nbconvert notebook2.ipynb 
[NbConvertApp] Converting notebook notebook2.ipynb to html
[NbConvertApp] Writing 214390 bytes to notebook2.html
(Ipython)-bash-4.1$ ls
HelloWorld.ipynb  img7.png  notebook2.html  notebook2.ipynb  testnotebook.ipynb

This results in a 214K HTML file that displays as:

Note that the HTML preserves the full text of the code used to produce the plot, just in a read-only format. This can be important when using Jupyter as a method of disseminating research results, as readers can see the actual code used to produce the graph.

Other formats

HTML is the default format for nbconvert. The complete syntax is:

jupyter nbcomvert...