Using IPython for interactive work

• Introducing IPython
  • The four most helpful commands
  • Tab completion
  • Exploring your objects
  • Magic functions
  • History
  • System shell commands
  • Configuration
• Built-in magic commands
  • Line magics
  • Cell magics
• Plotting
• 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
  • Environment variables
  • Aliases
  • Directory management
  • Prompt customization
  • String lists
• IPython Tips & Tricks
  • Embed IPython in your programs
  • Run doctests
  • Use IPython to present interactive demos
  • Suppress output
  • Lightweight ‘version control’

See also

A Qt Console for Jupyter The Jupyter Notebook