slideception

Slideception lets you give interactive presentations in the terminal. Slides are defined as Python functions, so you can run arbitrary code to generate content for your slides. You could even go so far as to run another presentation from within one of your slides!

Requirements

• Python 3.8 or newer
• Linux (unless you avoid the Linux-specific stuff)

Usage

Here's a quick example:

#!/usr/bin/env python3
from slideception import display_slides, ipython, slide

@slide
def context_managers():
    """Context Managers

    A **context manager** is a thing that can be used in a `with` block.

    ```python3
    with record_time() as timer:
        stuff()
    print(f"stuff took {timer.elapsed} seconds")
    ```

    It lets you factor out pieces of code that *surround* other code.
    """
    # Now jump into an intepreter for a quick demo
    ipython()


display_slides()

Presentation Boilerplate

At a minimum, you'll need to import display_slides and slide and call display_slides() at the bottom of your script.

#!/usr/bin/env python3
from slideception import display_slides, slide

…

display_slides()

Defining Slides

@slide

This decorator registers a function as a slide. The docstring of the function becomes the slide's content, and the body of the function is executed after the content is displayed. The docstring is parsed as CommonMark and then rendered for display in a terminal.

Helpers

• bash(history=None, init=None)

  This function starts a Bash shell which can be used to demo shell scripting and command-line programs.

  The history parameter accepts a list of commands which will be preloaded into the shell's history; this lets you simply press Up to recall those commands instead of typing them from scratch.

  The init parameter accepts a list of commands which will be executed after the shell loads your .bashrc file. This can be used to cd to a specific directory, create files, etc.

• ipython()

  This function starts an iPython interpreter which can be used to demo Python code.

• python()

  This function starts a Python interpreter which can be used to demo Python code. You should definitely prefer to use ipython() if possible.