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

Starting out with the terminal


Typing ipython into your command line should present you with a window that resembles this:

This is the (somewhat underwhelming) IPython command line. Do not be deceived by its plain looks.

The primary language used with IPython is, not surprisingly, Python. As a convenience, the help command provides access to Python's help documents. The help(<object>) will display the help page for <object> (for example, help(string)), while help( ) will open up an interactive help prompt.

For help with IPython itself, use the ? command. It displays a lot of text outlining functionality available through the terminal.

In addition, either prepending or appending ? to an object or command will display information about it. For example, to display information about the built-in Python type list:

In [9]: ?list
Type: type
String form: <type 'list'>
Namespace: Python builtin
Docstring:
list() -> new empty list
list(iterable) -> new list initialized from iterable...