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
  • GUI event loop support support
  • Plotting with matplotlib
  • Interactive demos with IPython
• 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