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        "author": "Jean-Luc Stevens and Philipp Rudiger",
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            "Natural Language :: English",
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            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.5",
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            "Programming Language :: Python :: 3.7",
            "Topic :: Scientific/Engineering",
            "Topic :: Software Development :: Libraries"
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        "description": "[![PyPI](https://img.shields.io/pypi/v/holoviews.svg)](https://pypi.python.org/pypi/holoviews)\n[![Conda](https://anaconda.org/pyviz/holoviews/badges/installer/conda.svg)](https://anaconda.org/pyviz/holoviews)\n[![Downloads](https://s3.amazonaws.com/pubbadges/holoviews_current.svg)](https://anaconda.org/pyviz/holoviews)\n[![BuildStatus](https://travis-ci.org/pyviz/holoviews.svg?branch=master)](https://travis-ci.org/pyviz/holoviews)\n[![Coveralls](https://img.shields.io/coveralls/pyviz/holoviews.svg)](https://coveralls.io/r/pyviz/holoviews)\n[![Gitter](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/pyviz/pyviz?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)\n[![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/pyviz/holoviews/master?filepath=examples)\n\n# <img src=\"https://assets.holoviews.org/logo/holoviews_color_icon_500x500.png\" alt=\"HoloViews logo\" height=\"40px\" align=\"left\" /> HoloViews\n\n**Stop plotting your data - annotate your data and let it visualize\nitself.**\n\nHoloViews is an\n[open-source](https://github.com/pyviz/holoviews/blob/master/LICENSE.txt)\nPython library designed to make data analysis and visualization seamless\nand simple. With HoloViews, you can usually express what you want to do\nin very few lines of code, letting you focus on what you are trying to\nexplore and convey, not on the process of plotting. \n\nCheck out the [HoloViews web site](http://holoviews.org) for extensive examples and documentation.\n\n<div>\n<div >\n  <a href=\"http://holoviews.org/gallery/demos/bokeh/iris_splom_example.html\">\n    <img src=\"http://holoviews.org/_images/iris_splom_example_large.png\" width='20%'> </img> </a>\n  <a href=\"http://holoviews.org/getting_started/Gridded_Datasets.html\">\n    <img src=\"https://assets.holoviews.org/collage/cells.png\" width='22%'> </img>  </a>\n  <a href=\"http://holoviews.org/gallery/demos/bokeh/scatter_economic.html\">\n    <img src=\"http://holoviews.org/_images/scatter_economic_large.png\" width='43%'> </img> </a>\n</div>\n\n<div >\n  <a href=\"http://holoviews.org/gallery/demos/bokeh/square_limit.html\">\n    <img src=\"http://holoviews.org/_images/square_limit_large.png\" width='20%'> </a>\n  <a href=\"http://holoviews.org/gallery/demos/bokeh/bars_economic.html\">\n    <img src=\"http://holoviews.org/_images/bars_economic.png\" width='20%'> </a>\n  <a href=\"http://holoviews.org/gallery/demos/bokeh/texas_choropleth_example.html\">\n    <img src=\"http://holoviews.org/_images/texas_choropleth_example_large.png\" width='20%'> </a>\n  <a href=\"http://holoviews.org/gallery/demos/bokeh/verhulst_mandelbrot.html\">\n    <img src=\"http://holoviews.org/_images/verhulst_mandelbrot.png\" width='20%'> </a>\n</div>\n<div >\n    <a href=\"http://holoviews.org/gallery/demos/bokeh/dropdown_economic.html\">\n      <img src=\"https://assets.holoviews.org/collage/dropdown.gif\" width='31%'> </a>\n    <a href=\"http://holoviews.org/gallery/demos/bokeh/dragon_curve.html\">\n      <img src=\"https://assets.holoviews.org/collage/dragon_fractal.gif\" width='26%'> </a>\n    <a href=\"http://holoviews.org/gallery/apps/bokeh/nytaxi_hover.html\">\n      <img src=\"https://assets.holoviews.org/collage/ny_datashader.gif\" width='31%'> </a>\n</div>\n</div>\n\n\nInstallation\n============\n\nHoloViews works with \n[Python 2.7 and Python 3](https://travis-ci.org/pyviz/holoviews)\non Linux, Windows, or Mac, and provides optional extensions for working with the \n[Jupyter/IPython Notebook](http://jupyter.org).\n\nThe recommended way to install HoloViews is using the\n[conda](http://conda.pydata.org/docs/) command provided by\n[Anaconda](http://docs.continuum.io/anaconda/install) or\n[Miniconda](http://conda.pydata.org/miniconda.html):\n\n    conda install -c pyviz holoviews bokeh\n\nThis command will install the typical packages most useful with\nHoloViews, though HoloViews itself depends only on\n[Numpy](http://numpy.org) and [Param](https://param.pyviz.org).\nAdditional installation and configuration options are described in the\n[user guide](http://holoviews.org/user_guide/Installing_and_Configuring.html).\n\nYou can also clone holoviews directly from GitHub and install it with:\n\n    git clone git://github.com/pyviz/holoviews.git\n    cd holoviews\n    pip install -e .\n\nUsage\n-----\n\nOnce you've installed HoloViews, you can get a copy of all the\nexamples shown on the website:\n\n    holoviews --install-examples\n    cd holoviews-examples\n\nAnd then you can launch Jupyter Notebook to explore them:\n\n    jupyter notebook\n\nTo work with JupyterLab you will also need the PyViz JupyterLab\nextension:\n\n    conda install -c conda-forge jupyterlab\n    jupyter labextension install @pyviz/jupyterlab_pyviz\n\nOnce you have installed JupyterLab and the extension launch it with::\n\n    jupyter-lab\n\nFor more details on setup and configuration see [our website](http://holoviews.org/user_guide/Installing_and_Configuring.html).\n\nFor general discussion, we have a [gitter channel](https://gitter.im/pyviz/pyviz).\nIf you find any bugs or have any feature suggestions please file a GitHub \n[issue](https://github.com/pyviz/holoviews/issues)\nor submit a [pull request](https://help.github.com/articles/about-pull-requests).\n\n\n",
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