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www.amitkohli.com | ||
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www.pythonmorsels.com
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| | | | | Python's built-in functions list includes 71 functions now! Which built-in functions are worth knowing about? And which functions should you learn later? | |
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tomaugspurger.net
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| | | | | This notebook compares pandas and dplyr. The comparison is just on syntax (verbage), not performance. Whether you're an R user looking to switch to pandas (or the other way around), I hope this guide will help ease the transition. We'll work through the introductory dplyr vignette to analyze some flight data. I'm working on a better layout to show the two packages side by side. But for now I'm just putting the dplyr code in a comment above each python call. | |
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tomaugspurger.net
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| | | | | This is part 4 in my series on writing modern idiomatic pandas. Modern Pandas Method Chaining Indexes Fast Pandas Tidy Data Visualization Time Series Scaling Wes McKinney, the creator of pandas, is kind of obsessed with performance. From micro-optimizations for element access, to embedding a fast hash table inside pandas, we all benefit from his and others' hard work. This post will focus mainly on making efficient use of pandas and NumPy. | |
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studiofreya.org
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