IPython Documentation

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Using IPython for interactive workΒΆ

  • 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
  • A Qt Console for IPython
    • %load
    • Inline Matplotlib
    • Saving and Printing
    • Colors and Highlighting
    • Fonts
    • Process Management
    • Qt and the QtConsole
    • Regressions
  • 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

The Jupyter Notebook

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