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Cake day: August 17th, 2023

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  • Storage data structures. Database tables are designed for fast read/write. Excel is designed for fast simultaneous parallel computation.

    To get a sense of what this looks like, you can read more about their data structures; Databases typically store data in what’s called a “B Tree” and spreadsheets typically store as a format that can be easily converted into a “Directed Acyclic Graph” (although Excel lets you turn off the “acyclic” part if you allow circular references).

    Although, with Excel specifically, there’s probably not much difference since it has some database functionality now.




  • Python is Spanish; a ton of people learned a bit in school and never picked it back up again. Places that speak it natively all have their own conventions because, even though the native languages were replaced by colonizers, a lot of the native languages patterns remained in place. Most places that speak it are super welcoming and stoked that you’re trying to learn.



  • I started using Python ~15 years ago. I didn’t go to school for CS.

    Compared to using literally anything else at the time as a beginner, pip was the best thing out there that I could finally understand for getting third party code to work with my stuff, without copy paste… on Windows.

    When I tried Linux, package managers and make were pretty cool for doing C/C++ work.

    Despite all that, us “regular” engineers were consigned to Windows.

    We either had to use VBA or a runtime that didn’t need to be installed.