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        "author": "Logan Page",
        "author_email": "page.lg@gmail.com",
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            "Framework :: IPython",
            "License :: OSI Approved :: BSD License",
            "Programming Language :: Python"
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        "description": "Nbtutor\n=======\n\nVisualize Python code execution (line-by-line) in `Jupyter Notebook\n<http://jupyter.org>`__ cells. Inspired by `Online Python Tutor\n<http://pythontutor.com>`__.\n\n.. figure:: usage.gif\n   :alt:\n\n   Usage\n\nInstall\n-------\n\nNote: installing directly off this repo won't work, as we don't ship the built\nJavaScript and CSS assets. See more about `developing <#develop>`__ below.\n\n``pip``\n~~~~~~~\n\n.. code:: shell\n\n    pip install nbtutor\n    jupyter nbextension install --overwrite --py nbtutor\n    jupyter nbextension enable --py nbtutor\n\n``conda``\n~~~~~~~~~\n\n.. code:: shell\n\n    conda install -c conda-forge nbtutor\n\nUsage (Jupyter Notebook)\n------------------------\n\nFirst load the ``nbtutor`` IPython kernel extension at top of the Notebook by\nexecuting the following magic in a ``CodeCell``:\n\n.. code:: python\n\n    %load_ext nbtutor\n\nThen to visualize the execute of code in a ``CodeCell`` add the\nfollowing magic to the top of the ``CodeCell`` and execute it again:\n\n.. code:: python\n\n    %%nbtutor\n\n\nOptional arguments\n~~~~~~~~~~~~~~~~~~\n\nThere are also optional arguments that can be used with the cell magic:\n\n-  Reset the IPython user namespace\n\n   .. code:: python\n\n       %%nbtutor -r/--reset\n\n-  Suppress the confirmation message from ``-r/--reset``\n\n   .. code:: python\n\n       %%nbtutor -r/--reset -f/--force\n\n-  Render primitive objects inline\n\n   .. code:: python\n\n       %%nbtutor -i/--inline\n\n-  Specify the maximum frame depth to visualize (default: 1)\n\n   .. code:: python\n\n       %%nbtutor -d/--depth N\n\n-  Specify the number of significant digits for floats (default: 3)\n\n   .. code:: python\n\n       %%nbtutor --digits D\n\n-  Specify the maximum number of elements to visualize for \"sequence\"\n   type objects (default: 5)\n\n   .. code:: python\n\n       %%nbtutor --max_size S\n\n-  Step through all frames (including frames from other cells and other\n   global scopes altogether)\n\n   .. code:: python\n\n       %%nbtutor --step_all\n\n-  Expand ``numpy`` arrays to show underlying data\n\n   .. code:: python\n\n       %%nbtutor --expand_arrays\n\n-  No inlined keys, attributes, or primitive objects\n\n   .. code:: python\n\n       %%nbtutor --nolies\n\n\nNotes\n-----\n\n-  Visualizing ``numpy`` arrays is somewhat experimental. Simple\n   ``ndarray``\\ s and simple slicing should work, but anything beyond\n   that is un-tested.\n-  If you find a problem please feel free to submit an\n   `issue <https://github.com/lgpage/nbtutor/issues>`__\n\n\nDevelop\n-------\n\nThis assumes you have cloned this repository locally:\n\n.. code:: shell\n\n    git clone https://github.com/lgpage/nbtutor.git\n    cd nbtutor\n\n\nRepo architecture\n~~~~~~~~~~~~~~~~~\n\nThe ``nbtutor`` nbextension is built from ``./src`` into\n``./nbtutor/static/nbtutor`` with: - ``less`` for style - ``es6`` (via\n``babel``) for javascript - ``browserify`` for packaging\n\nThe ``nbtutor`` ipython kernel extension (magics) is stored in the\n``./nbtutor/ipython`` folder\n\nBuild tools are stored in the ``./tools`` folder.\n\n\nGetting started\n~~~~~~~~~~~~~~~\n\nYou'll need conda installed, either from\n`Anaconda <https://www.continuum.io/downloads>`__ or\n`miniconda <http://conda.pydata.org/miniconda.html>`__. You can create a\nPython development environment named ``nbtutor`` from\n``./environment.yml``.\n\n.. code:: shell\n\n    conda create -n nbtutor python=YOUR_FAVORITE_PYTHON\n    conda env update\n    source activate nbtutor\n\nWe use ``npm`` for ``node.js`` dependencies, so then run:\n\n.. code:: shell\n\n    npm install\n\nFinally, you are ready to build the assets with:\n\n.. code:: shell\n\n    npm run build\n\n\nInstalling the nbextension\n~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nTo ensure that you always get the right assets (for development),\ninstall the nbextension with the ``symlink`` options:\n\n.. code:: shell\n\n    python setup.py develop\n    jupyter nbextension install --overwrite --symlink --sys-prefix --py nbtutor\n    jupyter nbextension enable --sys-prefix --py nbtutor\n",
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