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

Alternative development environments


There is a slew of alternative user interfaces for developers looking for a graphical interface to some (or all) of the IPython development environment. Most mainstream development has moved to integrated, graphical IDEs and there is no reason for the IPython developer to be left behind.

Graphical IDEs provide several useful features:

  • A graphical editor, with syntax highlighting, code completion, PyLint integration, and more.

  • An interactive object inspector. Just place the cursor before any object and press Ctrl + I. The documentation for that object/class will be displayed.

  • The IPython console is still present, but many useful commands have associated buttons and keyboard shortcuts.

  • Debugger integration. A multi-window display allows code to be viewed in one window, an object inspector in another, and interactive expression evaluation in yet another.

Spyder

Spyder stands for Scientific PYthon Development EnviRonment. It is supported on Windows, OS X, and Linux...