IPython
2.x
Introduction
What’s new in IPython
Installation
Using IPython for interactive work
Introducing IPython
IPython Tips & Tricks
IPython reference
IPython as a system shell
A Qt Console for IPython
The IPython notebook
Using IPython for parallel computing
Configuration and customization
IPython developer’s guide
The IPython API
About IPython
IPython
Docs
»
Using IPython for interactive work
Edit on GitHub
Using IPython for interactive work
ΒΆ
Introducing IPython
The four most helpful commands
Tab completion
Exploring your objects
Magic functions
History
System shell commands
Configuration
IPython Tips & Tricks
Embed IPython in your programs
Run doctests
Use IPython to present interactive demos
Suppress output
Lightweight ‘version control’
IPython reference
Command-line usage
Interactive use
IPython as your default Python environment
Embedding IPython
Using the Python debugger (pdb)
Pasting of code starting with Python or IPython prompts
GUI event loop support
Plotting with matplotlib
Interactive demos with IPython
IPython as a system shell
Overview
Aliases
Directory management
Prompt customization
String lists
A Qt Console for IPython
%load
Inline Matplotlib
Saving and Printing
Colors and Highlighting
Fonts
Process Management
Qt and the QtConsole
Regressions
See also
The IPython notebook