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

R


The R language (or just R) is a programming language that is widely used by statisticians and data analysts. It is similar to Python in that it is interpreted and supports a command line. It overlaps with NumPy in that it supports advanced mathematical objects such as arrays and matrix operations. It also provides built-in graphics functionality for visualization. The R language is free software under the FSF's GNU GPL. More information is available at https://www.r-project.org.

The rpy2 module/extension

The entry point for using R in IPython is the rpy2 module/extension. When used as an extension, rpy2 allows the use of the %R and %%R magics. When used as a module, rpy2 can be imported and used as a "normal" module in Python/IPython programs. The magics are appropriate when R code is meant to be used in conjunction with standard Python, while the modules are useful when writing Python code that will invoke some R functionality. We will outline the installation procedure for rpy2 and then...