Using IPython for interactive work

• Quick IPython tutorial
  • Highlights
  • Source code handling tips
  • Lightweight ‘version control’
  • Effective logging

• IPython reference
  • Command-line usage
  • Interactive use
  • IPython as your default Python environment
  • Embedding IPython
  • Using the Python debugger (pdb)
  • Extensions for syntax processing
  • Threading support
  • Interactive demos with IPython
  • Plotting with matplotlib

• IPython as a system shell
  • Overview
  • Aliases
  • Directory management
  • Enabled extensions
  • Prompt customization
  • String lists
  • Real world example: remove all files outside version control
  • The .s, .n, .p properties

• IPython extension API
  • Getting started
  • Getting a handle to the api
  • Changing options
  • Executing statements in IPython namespace with ‘ex’ and ‘ev’
  • Accessing the IPython namespace
  • Defining new magic commands
  • Calling magic functions and system commands
  • Launching IPython instance from normal python code
  • Accessing unexposed functionality
  • Provided extensions