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Cake day: June 12th, 2023

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  • Hawk@lemmynsfw.comtoScience Memes@mander.xyzthe lifestyle
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    12 days ago

    It’s a lot more like Seaborn. It produces gorgeous plots with a lovely syntax that is quick and easy to use, but it’s not a full drawing toolkit like matplotlib.

    If I need the plot to have a very precise aesthetic, mpl is great. But if I want a high quality statistical plot that looks great. ggplot2 will do it in about 2 seconds. See also plotnine.

    I have no idea how op thinks they could make a decent histogram any quicker than ggplot(data) + geom_histogram(x= x). I mean you don’t even have to leave your shell/editor or extract the SQL into CSV.





  • I found reading through the rust book was a nice walkthrough of problems one can hit and how that language elected to solve them.

    In terms of practice:

    • Write a vim config
      • Shell out to python if you’d like
    • Learn a bit of elisp and org-mode
    • Rewrite all your shell scripts into a python CLI
    • Write a pyqt6 GUI for tasks and notes on the exact way you’ve always wanted it to work
    • Write an AI tool to auto-format links etc with phi3
      • Very exciting how much these smaller models can do!