TIL that #Rust, while amazing, isn't so amazing for quick-and-dirty coding. It's like flying the Concorde for a 1-hour car trip.

@JonYoder There are reasons I often reach for the shell for quick-and-dirty things. But for anything serious, it quickly becomes a problem. In the days of Python 2, it was a good replacement, but with Python 3's inability to correctly handle POSIX filenames, environment variables, and parameters, I wouldn't bother. Rust is actually pretty decent for a lot of quick stuff once you get used to it.

@jgoerzen What kinds of problems have you run into with Python 3?

@JonYoder I wrote a series of articles on this subject culminating in changelog.complete.org/archive . In short, I was so burned by my effort to port #pygopherd to #Python 3 -- and the utter crappiness and inconsistency of handling non-UTF8 in even the library bundled with Python -- that I consider it unsuitable for any purpose involving filenames, command-line parameters, or environment variables. One lovely tidbit is the zipfile.py tries to decode non-UTF8 sequences as cp437 in ALL cases!

@JonYoder If you want a coffee with your reading, after that first link, you can check out changelog.complete.org/archive and changelog.complete.org/archive . The upshot of it is, as far as I can tell, it is impossible to write cross-platform #Python code that handles filenames correctly on both POSIX and Windows. #Rust gets this right, and Python's attempt to assume the whole world has used #Unicode since the beginning of time is a real pain.

@JonYoder You got me thinking in more detail why I reflexively avoid #Python now, despite the fact that I wrote two large programs (#OfflineIMAP and #pygopherd) in it, and published a book about it. 1/

@JonYoder It is astonishing to me that #Python still has a Global Interpreter Lock in 2022. wiki.python.org/moin/GlobalInt Multithreading in Python is mostly a fiction. There are kludges like docs.python.org/3/library/mult which use fork, pipes, pickling, and message passing to simulate threads. But there are so many dragons down that path -- performance and platform-specific ones (different things can be pickled on Windows vs. Linux) that it is a poor substitute. 3/

@JonYoder Sure, people use #Python for things like #AI work. In this case, Python is merely a shell; the real multithreaded code is in a different language (often C). The way to get performant multithreading out of Python is to not use Python at all. 4/

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@jgoerzen @JonYoder I refuse to learn a new language unless it has some sort of multithreading built into it from the start. Even C / C++ multithreading is a nightmare hack. Julia and Go are my favorites these days

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@jdarnold @JonYoder Right now, I've been enjoying #Rust quite a bit, but both of those are also interesting and I'd love to find time to dive in more. Sadly time is limited for me right now...

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