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        "author": "Davide Sarra",
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            "Environment :: Console",
            "Framework :: IPython",
            "Framework :: Jupyter",
            "Intended Audience :: Developers",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7"
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        "description": "# Jupyter Spaces\n\n[![Build Status](https://travis-ci.org/davidesarra/jupyter_spaces.svg?branch=master)](https://travis-ci.org/davidesarra/jupyter_spaces)\n[![codecov](https://codecov.io/gh/davidesarra/jupyter_spaces/branch/master/graph/badge.svg)](https://codecov.io/gh/davidesarra/jupyter_spaces)\n[![Supported Python Versions](https://img.shields.io/pypi/pyversions/jupyter_spaces.svg)](https://pypi.org/project/jupyter_spaces/)\n\nJupyter Spaces is an IPython extension for creating parallel namespaces\navailable within the user namespace. It is designed to be used via IPython\nmagics in Jupyter notebooks.\n\n## Installation\n\n```bash\npip install jupyter_spaces\n```\n\n`jupyter_spaces` supports Python versions `3.4`, `3.5`, `3.6` and `3.7`.\n\n## Usage\n\n### Load `jupyter_spaces` extension\n\n```python\n%load_ext jupyter_spaces\n```\n\n### Reload `jupyter_spaces` extension\n\n```python\n%reload_ext jupyter_spaces\n```\n\nReloading the extension will remove all spaces.\n\n### Run a cell within a space\n\n```python\n%%space <space-name>\nalpha = 0.50\nprint(alpha)\n```\n\nWhen you execute a cell within a space, all references are firstly searched in\nthe space namespace and secondly in the user namespace. All assignments are\nmade in the space namespace.\n\nTrying to delete a user namespace reference will raise an error. Trying to\naffect a user namespace reference using the keyword `global` will produce an\nexecution equivalent to not using such keyword.\n\nMutable objects in the user namespace can be altered (e.g. appending an item\nto a list).\n\n#### Console output\n\nConversely to the standard usage of the Python console, you need to print\nobjects explicitly (e.g. by using `print`).\n\n- No output to console\n    ```python\n    %%space <space-name>\n    100\n    ```\n- Output to console\n    ```python\n    %%space <space-name>\n    print(100)\n    ```\n\nIf you want IPython to use more advanced representations, you can do so via\nIPython's display library (e.g. display a Pandas dataframe as a HTML table).\n\n```python\n%%space <space-name>\nfrom IPython.display import display\nfrom pandas import DataFrame\ndataframe = DataFrame(data=[[1, 2]])\ndisplay(dataframe)\n```\n\n### Remove a space\n\n```python\n%remove_space <space-name>\n```\n\n### Access all spaces at once\n\nYou can access all the spaces' namespaces at once without using any magic.\nThis might be useful to jointly post-process or compare the spaces' contents.\n\n```python\nfrom jupyter_spaces import get_spaces\n\nspaces = get_spaces()\nspace = spaces[<space-name>]\nreference = space.namespace[<reference-name>]\n```\n\n`Space` objects have two properties:\n\n- `name` the name of the space\n- `namespace` a dictionary with the namespace of the space\n\nModifying the spaces via `get_spaces` will actually modify the underlying\nspaces.\n\n## Acknowledgements\n\nMany thanks to [Yeray Diaz Diaz](https://github.com/yeraydiazdiaz) and\n[Karol Duleba](https://github.com/mrfuxi)!\n\n\n",
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