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        "description": "# ipypy\n\n    Store Jupyter Notebooks in a more repo and coding friendly way.\n\nHave you ever noticed that a Jupuyter Notebook nowadays is a json file? Containing together the metadata of the notebook itself, the list of cells, and for each cell, not only the *source* (what was written on it), but also the *outputs*, and *metadata* for each cell.\n\nThis project attemps to propose an alternative for that. \n\n## How\n\nYou can pick between a SplitCodeManager, which stores each notebook in:\n  * my_file.ipynb (the usual notebook file, but with source information extracted)\n  * my_file.ipypy (a pure code file that stores only the actual source code)\n\nOr, a SplitOutputManager, which stores each notebook in:\n  * my_file.ipynb (the usual notebook file, but without the cells output)\n  * my_file.nbout (a json file that stores only the outputs of each cell)\n\n\n## Benefits\n\n* You can now import your notebook from another file\n* You can now use standard coding tools and practices for manipulating Notebooks code:\n  * testing\n  * import code defined in there\n  * editable naturally by any editor\n  * refactoring\n  * tracking changes\n  * ...\n* The source code of your notebook, can be versioned in a repository, where diffs, and history is readable. Now makes sense. It's code.\n* (Work In Progress) You can choose to simply ignore the metadata files (.ipynb) in the repository, or keep them versioned. It should be up to you.\n\n## Warning\n\nWe are in beta. Once you open a notebook with this extension enabled, and later save it, your notebook will be saved in a format a bit incompatible.\n\n## Installation\n\n    $ pip install ipypy\n\nYou will also need to configure your jupyter so it uses `ipypy`, by editing your jupyter config file, or from command line\n\n    $ jupyter lab --NotebookApp.contents_manager_class=\"ipypy.SplitCodeManager\"\n\n\n",
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