Develop python packages using jupyterlab.
This library allows you to develop regular python packages while writing your code in jupyterlab.
You can create notebooks to develop your code and in these notebooks, simply annotate your cells with #export if you want them to be put in the library. (A notebook must be marked for conversion with #convert in the first code cell.)
Other cells will be used as examples in your doc (together with the markdown of your notebook) unless marked with #hide.
Of course JLAB Dev itself is completly implemented as a notebook in jupyterlab (see here).
It is as simple as a pip install.
# For stable version
pip install jlabdev
# or for bleeding edge
pip install git+https://github.com/penguinmenac3/jlabdev.gitSimply create your notebooks and add a code cell with #convert as the first cell and annotate all cells you want to export with #export.
Now you can compile your notebook into python and markdown doc by saving it and then running these commands at the root of your project folder:
nb2py # Creates python files next to the notebooks
nb2md # Creates markdown doc in docsWhen you edit your python file (e.g. refactoring) and want to update the notebook from the python file.
py2nbDocumentation can be found in docs it will be automatically generated there. The README.md is an overview over all packages availible.
The MIT License (MIT)
Copyright (c) 2020 Michael Fuerst
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
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