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this post was submitted on 06 Feb 2024
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Programming
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This one's a hot take, but: That Python is easy.
I've had to work with it in three projects in the past five years and I consider it one of the hardest programming languages, for anything but very short scripts.
You don't get proper compiler assistance, unless you have 100% test coverage. You don't get a helpful text editor. You don't usually get helpful type hints in libraries you use, so you have to genuinely just study the documentation and/or code. You get tons of quirky behavior in the stdlib, build tools, async stack, imports. You get breaking changes in minor versions of the language.
I find writing code in Python extremely mentally taxing, because you just get so little assistance, that you have to think of everything yourself.
I don't know if i qualify as a full programmer, I'm an actuarie but 90% of my work is in python, 5% SQL and 5% excel. I love python because is flexible as fuck, I can connect to the SQL server, send the queries to a pd.DataFrame, process the information, scrap some webpage for adicional information needed, and finally export to an excel file that the accounting team can use. I don't write fully functional programs, but small specific scripts for different tasks. R is another popular programming language between actuaries and statisticians, but I haven't find anything that R can do, that I can't in python.
Might just be my inexperience with the library, but every time I end up with a pandas dataframe, I spend the next 4 hours trying to figure out the right sequence of index statements and function calls to get the data in the order I want. It always ends up feeling like I'm doing something wrong, and the only way to really tell is to run the code as far as I can tell. I don't use dataframes very often though, and I'm sure it gets easier with experience.
My general dev experience is limited mostly to python but with pandas one thing you can do is set up a jupyter notebook so you can run just the parts you want until it's working as expected, then you can move it over to your python script when you're ready.
But working with pandas does get easier with practice. If you're wanting to dive in a bit more, the "getting started" page has a tutorials section which features a 10 minute high level overview, a cheatsheet, and link to some community tutorials.