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Dirty tricks to run python notebooks

PyPI version test codecov Documentation Status Binder License: MIT

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Purpose

Testing an idea is sometimes more easily done by calling a python notebook in a python code. It is as dirty, filthy and ugly as a wild hairy swine with horns… But if you can prove the value of your idea, why not try it out immediatly with boar.

Read more at ./POST.md

Installation

Requirements: Python 3 pip

The package is available on pypi: https://pypi.org/project/boar/

To install, execute:

pip install boar

Practice

I used this method in CI tasks to make sure tutorials associated to a project stay up-to-date.

I would not recommend relying this trick on a long term product.

Usage

More information at ./USAGE.md.