Literate package development with Jupyter
Project description
Literary
TL;DR
Literary is a Python tool to make Jupyter (IPython) notebooks behave like pure-Python packages. This allows pure-Python packages to be generated from notebooks, and notebooks to be imported at runtime.
This package is an exploration of the literate programming idea pioneered by
Donald
Knuth and implemented in the
nbdev package. Although nbdev looks to be a very
mature and comprehensive tool, it is quite opinionated. This package is an
investigation into what a smaller nbdev might look like.
Philosophy 📖
- Low mental overhead
Realistically, most Python programmers that wish to write packages need to have some familiarity with the Python package development model, including the conventional structure of a package. For this reason, I feel that it is important to designliterarysuch that these skills translate directly to designing libraries with notebooks - Minimal downstream impact
Users ofliterarypackages should not realise that they are consuming notebook-generated code at runtime. This means that a pure-Python package needs to be generated from the notebooks, and it must use the conventional import model. For this reason,literaryshould only exist as a development dependency of the package.
Differences with nbdev
- Use of cell tags instead of comments or magics to dictate exports
- Use of
nbconvertmachinery to build the pure-Python lib package - Use of import hooks to import other notebooks
- Maintains a similar programming model to conventional module development
- Reduces the need to modify notebook contents during conversion
- Minimal runtime overhead
- Features like
patchare removed from the generated module (& imported notebook source) using AST transformations
- Features like
- Currently no documentation generation
- Loosely, the plan is to use existing notebook-book tooling to re-use the existing Jupyter ecosystem
Differences with Knuth
Knuth introduced the tangle and weave programs to produce separate documentation and source code for compilation.
Literary differs in treating the notebook as the "ground truth" for documentation + testing, and generating smaller source code for packaging.
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