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

The View class


The ipyparallel module declares a View class to provide views of engines. The View class itself is not meant for use. It should probably be treated as an abstract base class for most purposes. However, it does have two useful subclasses: DirectView and LoadBalancedView. We will cover the functionality provided by View in this section, and the differences introduced by DirectView and LoadBalancedView in their own sections.

View attributes

View provides some useful attributes:

Attribute

Meaning

history

A list of message IDs.

outstanding

The set of message IDs of jobs that are not complete.

results

A dict of message_id and result pairs.

targets

The IDs of engines in the current active set. Functions that are applied, mapped, and so on will be executed on these engines.

block

bool, if True, apply and map will work synchronously. Otherwise, they will work asynchronously. This defaults to False.

Calling Python functions

Many of these functions have been described in other...