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ploomber.io | ||
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tomaugspurger.net
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| | | | | Welcome back. As a reminder: In part 1 we got dataset with my cycling data from last year merged and stored in an HDF5 store In part 2 we did some cleaning and augmented the cycling data with data from http://forecast.io. You can find the full source code and data at this project's GitHub repo. Today we'll use pandas, seaborn, and matplotlib to do some exploratory data analysis. For fun, we'll make some maps at the end using folium. | |
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quasimorphic.com
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rossmarks.uk
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| | | | | I wanted to create a hardware pentesting sample report so when clients ask for a sample report I'm not giving them a web app one and saying "It's like this but different". I knew a | |
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elis.nu
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