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notebooks/01-introduction.ipynb

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"\n",
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"https://matplotlib.org/\n",
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"\n",
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"![](assets/matplotlib.png)\n",
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"\n",
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"Advantages:\n",
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"\n",
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"* Simple\n",
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"\n",
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"https://seaborn.pydata.org/\n",
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"\n",
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"![](assets/seaborn.png)\n",
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"\n",
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"* Statistical data visualization\n",
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"* Built on top of Matplotlib.\n",
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"* Closely integrated with Pandas\n",
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"* Higher level then Matplotlib, so easier to use\n",
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"\n",
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"https://plot.ly/python/\n",
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"\n",
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"![](assets/plotly.png)\n",
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"\n",
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"* javascript plotting library that has Python wrappers for generating the code.\n",
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"* capable of generating interactive plots.\n",
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"* Freemium model (they sell cloud hosted services)\n",
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"\n",
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"https://bokeh.pydata.org\n",
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"\n",
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"![](assets/bokeh.png)\n",
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"\n",
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"* based on The Grammar of Graphics.\n",
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"* streaming and real-time data\n",
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"* can create interactive, web-ready plots, which can easily output as JSON objects, HTML documents, or interactive web applications.\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Paraview\n",
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"\n",
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"![](assets/paraview.jpg)\n",
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"\n",
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"* Scientific visualization\n",
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"* Primarily a standalone application, but has a built-in python interpreter and API\n",
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"* Client/server model\n",
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"* Works on laptops and supercomputers\n",
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"* Advanced: learning curver is steeper than the other listed packages"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"source": [
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"**[On to the next notebook (Plotly Scatter plots)](02-plotly-scatter.ipynb) ...**"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {

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