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{ "cells": [ { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[NbConvertApp] Converting notebook wheelie/exporter.ipynb to black\n", "[NbConvertApp] Writing 561 bytes to wheelie/exporter.py\n", "[NbConvertApp] Converting notebook wheelie/setup.ipynb to black\n", "[NbConvertApp] Writing 1205 bytes to wheelie/setup.py\n", "[NbConvertApp] Converting notebook wheelie/wheelie.ipynb to black\n", "[NbConvertApp] Writing 5209 bytes to wheelie/wheelie.py\n" ] } ], "source": [ "if __name__ == '__main__':\n", " !source activate p6 && jupyter nbconvert --to black `ls **/*.ipynb`" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "p6", "language": "python", "name": "other-env" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.3" } }, "nbformat": 4, "nbformat_minor": 2 }
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Create wheels containing notebooks, python, and data using nbconvert
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