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

Chapter 5. Opening the Toolkit – The IPython API

This chapter covers some useful features of IPython that did not fit in elsewhere and some features that deserved deeper coverage.

The following topics will be covered:

  • Performance profiling

  • The AsyncResult class

  • Results metadata

  • The Client class

  • The View class (including DirectView and LoadBalancedView)

Note

IPython libraries are very flexible in terms of parameters. Most parameters are optional, with sensible defaults. This chapter will not attempt to describe every parameter for every function, but will instead cover the more interesting features provided by these libraries. I have added respective links to the official documentations for further reference.