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    "## Python Resources"
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   "source": [
    "```{note}\n",
    "This document authored by [Todd M. Gureckis](http://gureckislab.org/~gureckis) and is released under the [license](/LICENSE.html) for the book.  Links to the external content and cheat sheets include the name and authorship information of the originals.\n",
    "```"
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    "This is a collection of useful python resources including videos and online tutorials.  This can help student how have less familiarity with programming in general or with python specifically.\n",
    "\n",
    "- A nice, free textbook <a href=\"https://www.digitalocean.com/community/tutorials/digitalocean-ebook-how-to-code-in-python?refcode=4d2af78748bd&utm_source=ebook&utm_medium=ebook&utm_campaign=pythonebook\">\"How to Code in Python\"</a> by Lisa Tagliaferri\n",
    "- CodeAcademy has a variety of courses on data analysis with Python.  There is a free tutorial on Python 2.0.  Although this class uses Python 3.0 and there are minor difference, a beginning programmer who didn't want to pay for the code academy content might benefit from these tutorials on basic python syntax: [Python 2.0 tutorial](https://www.codecademy.com/learn/learn-python)\n",
    "- Microsoft has an [Introduction to Python](https://docs.microsoft.com/en-us/learn/modules/intro-to-python/?WT.mc_id=python-c9-niner) video series.  Each video is about 10 minutes long and introduces very basic python features.\n",
    "- A nice multi-part tutorial on [Data Visualization with Python and Seaborn](https://medium.com/@neuralnets/statistical-data-visualization-series-with-python-and-seaborn-for-data-science-5a73b128851d) that gets into many more details about Seaborn than we have time to cover in class.\n",
    "- A six hour (free) video course on <a href=\"https://www.youtube.com/watch?v=_uQrJ0TkZlc\">basic Python programming</a> on youtube"
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    "### Cheat Sheets"
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    "Cheat sheets are short 1-2 page PDF documents that give a quick visual summary of the many options or commands within a library.  A few examples relevant for data analysis in psychology are provided here:"
   ]
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    "- <a href=\"images/Pandas_Cheat_Sheet.pdf\">Pandas Cheat Sheet</a>\n",
    "- <a href=\"images/Python_Seaborn_Cheat_Sheet.pdf\">Seaborn Cheat Sheet</a>\n",
    "- <a href=\"images/beginners_python_cheat_sheet_pcc_all.pdf\">Beginnger Python Cheat Sheet</a>"
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