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Search - "pypy"
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This is why I don't use and will probably never use Python.
Back in the uni days, I had a very important assignment. It determined whether I was going to the fourth grade from the third or not. It involved math and charting. It was very complex, and I spent a very long time on research, naturally. I knew Python 3, and I decided to use it. The only lib I needed was matplotlib, which I installed with pip. So I did the whole thing, tested it again at home, closed my laptop and was ready to go. My laptop used Windows 7 and was set up to ignore the lid closing. When I closed it, nothing would happen, even the screen stayed on. When I arrived at the lab, I opened my laptop, hit Ctrl + B as usual… and matplotlib import wasn't working. I obviously panicked, I tried to do something about it, but it just kept throwing an import error. Reinstalling the library didn't help. My friends too weren't able to help me. It just wasn't working, and that was it.
I failed the assignment, automatically. I had nothing to show. This was the first time I failed anything in the uni. Later I rewrote the code in C++ with Qt plotting library, and everything worked fine.
I never used Python since. I did everything uni with C++, and later with JavaScript. I don't care if it was Windows error or Python's. My Windows install was clean, I reinstalled it pretty much every year and kept the default settings. My laptop was for studying purposes only, and all my personal life happened on my desktop.
I didn't use exotic things like PyPy. It was just Python 3, the most basic, official installation. If you promote your fucking language as a cross-platform solution, please be bothered to make its basic behaviour stable on the most popular OS out there.
I will probably never use Python again. Maybe this issue was addressed and fixed. Maybe it wasn't. Maybe it never would've happened on Linux or Mac. I don't care. It's like maintaining friendship with a person that betrayed you. I just can't do it.
JS and NPM never failed me.6 -
!rant
Ever find something that's just faster than something else, but when you try to break it down and analyze it, you can't find out why?
PyPy.
I decided I'd test it with a typical discord bot-style workload (decoding a JSON theoretically from an API, checking if it contains stuff, format and then returning it). It was... 1.73x the speed of python.
(Though, granted, this code is more network dependent than anything else.)
Mean +- std dev: [kitsu-python] 62.4 us +- 2.7 us -> [kitsu-pypy] 36.1 us +- 9.2 us: 1.73x faster (-42%)
Me: Whoa, how?!
So, I proceed to write microbenches for every step. Except the JSON decoding, (1.7x faster was at least twice as slow (in one case, one hundred times slower) when tested individually.
The combination of them was faster. Huh.
By this point, I was all "sign me up!", but... asyncpg (the only sane PostgreSQL driver for python IMO, using prepared statements by default and such) has some of it's functionality written in C, for performance reasons. Not Cython, actual C that links to CPython. That means no PyPy support.
Okay then.1