Really Incredibly Point Less

RIPL == Really Incredibly Point Less

or

RIPL == Read Interpret Print Loop

This started life as some simple utilities to help me write a presentation.

The idea was to write something in restructured text and have some code to read the text, interpret it and turn it into a bunch of slides for a presentation.

In the end I went with markdown, but only a subset of markdown is really supported.

For each slide, you can specify a heading and then some lines of text for the slide.

You can also specify an image to display, or images.

Installation / Usage

To install use pip:

$ pip install ripl

Or clone the repo:

$ git clone https://github.com/swfiua/ripl.git $ python setup.py install

Interpretters

So far it is just a bunch of python modules which I call interpretters.

Each module has a class with an interpret method.

py2json and json2py

The built-in json module does all the work here. These just turn json into python dictionaries and lists and vice-versa.

md2slides.py

This reads the markdown and turns it into a list of slides. Each slide is just a python dictionary full of information about the slides.

slide2png.py

This takes the output from md2slides (or anything in a similar format) and creates a folder full of slides.

As well as a bunch of image files, slide2png.py outputs a file with the list of slides in the slideshow.

layout

I would like to strip the layout code in slide2png into a separate interpretter.

This would just augment the incoming information with layout data.

create_images

The code that actually creates the images could then work with the layout code.

show

This actually displays the slideshow.

It has an option to say how many minutes the slideshow should be and will automatically advance the slides for you, pechakucha style.

run*.py

Various scripts to run everything.

TODO

rest2py and py2rest

mark2rest and rest2mark

rest2json and json2rest

py2json and json2py. these are done coutesy of import json.

Chaining converstions and examining information loss.

Get sphinx and readthedocs working here.

python-snowballstemmer looks interesting, seems to be finding stems of words and also to be multi-lingual.