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

Matplotlib


Matplotlib is a Python-based 2D plotting library. It works well with Python, and even better with IPython. It includes the pyplot module, which provides MATLAB-like functionality. Matplotlib functionality can be accessed both programmatically and interactively, from the IPython command line. The examples in this section will be run from the command line for ease of explication.

Starting matplotlib

Matplotlib should be installed along with most major IPython distributions. If yours does not include it, standard package installation procedures (for example, pip install or sudo apt-get) should suffice.

There are two ways to start up matplotlib: matplotlib-only or pylab.

The difference is that using matplotlib-only mode activates matplotlib interactive support but does not import anything into the namespace. pylab mode executes more imports and changes the namespace.

Once installed, matplotlib-only mode can be started either from the command line or by using the %matplotlib magic, as shown...