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content/pages/03-data/16-pandas.markdown

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is a good tutorial on removing sensitive data from your unfiltered
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data sets.
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* [Learn a new pandas trick every day!](https://www.dataschool.io/python-pandas-tips-and-tricks/)
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is a running list of great pandas tips that the author originally
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posted on Twitter and then aggregated onto a single webpage.
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* [Time Series Analysis with Pandas](https://www.dataquest.io/blog/tutorial-time-series-analysis-pandas/)
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show you how to combine [Python 3.6](/why-use-python.html), pandas,
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[matplotlib](/matplotlib.html) and [seaborn](/data-visualization.html)

content/pages/04-web-development/17-css.markdown

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potentially malicious applications, such as the experimental CSS keylogger
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hack that made the rounds in early 2018.
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* [Understanding specificity in CSS](https://alligator.io/css/understanding-specificity-in-css/)
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provides some wonderful detail on the various ways to select elements
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via CSS selectors, including type selectors, pseudo-elements, class
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selectors, attribute selectors and ID selectors.
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## CSS learning checklist
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1. Create a simple HTML file with basic elements in it. Use the

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