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Free-threaded CPython is ready to experiment with!
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this post was submitted on 13 Jul 2024
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Programming
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Python can be extremely slow, it doesn't have to be. I recently re-wrote a stats program at work and got a ~500x speedup over the original python and a 10x speed up over the c++ rewrite of that. If you know how python works and avoid the performance foot-guns like nested loops you can often (though not always) get good performance.
Unless the C++ code was doing something wrong there's literally no way you can write pure Python that's 10x faster than it. Something else is going on there. Maybe the c++ code was accidentally O(N^2) or something.
In general Python will be 10-200 times slower than C++. 50x slower is typical.
You're both at least partly right. The only interpreted language that can compete with compiled for execution speed is Java and it has the downside of being Java.
That being said, you might be surprised at how fast you can make Python code execute, even pre-GIL changes. I certainly was. Using multiprocessing and code architected to be run massively parallel, it can be blazingly fast. It would still be blown out of the water by similarly optimized compiled code but, is worth serious consideration if you want to optimize for iterative development.
My view on such workflows would be:
"Interpreted" isn't especially well defined but it would take a pretty wildly out-there definition to call Java interpreted! Java is JIT compiled or even AoT compiled recently.
It definitely can't.
Well, yes. So not blazingly fast then.
I mean it can be blazingly fast compared to computers from the 90s, or like humans... But "blazingly fast" generally means in the context of what is possible.
My extensive experience is that this step rarely happens because by the time it makes sense to do this you have 100k lines of Python and performance is juuuust about tolerable and we can't wait 3 months for you to rewrite it we need those new features now now now!
My experience has also shown that writing Python is rarely a faster way to develop even prototypes, especially when you consider all the time you'll waste on pip and setuptools and venv...
Java is absolutely interpreted, supposing that the AoT isn't being used. The code must be interpreted by JVM (an interpreter and JIT compiler) in order to output binary data that can run on any system, the same as any interpreted language. It is a pretty major stretch, in my mind to claim that it's not. The simplest test would be: "Does the program require any additional programs to provide the system with native binaries at runtime?"
I find that context marginally useful in practice. In my experience it is prone to letting perfect be the enemy of good and premature optimization.
My focus is more in tooling, however, so, might be coming from very different places. In my contexts, things are usually measured against existing processes and tooling and frequently on human scale. Do my something in 5 seconds that usually takes a human 15 minutes and that's an improvement of nearly 3 orders of magnitude.
You're not wrong. I'm actually in the process of making such a push where I'm at, for the first time in my career. It helps a lot if you can architect it so that you can have runner and coordinator components as those, at their basics, are simple to implement in most languages. Then, things can be iteratively ported over time.
That's... an odd perspective to me. Pip and venv have been tools that I've found to greatly accelerate dev setup and application deployment. Installing any third-party dependencies in a venv with pip means that one can
pip freezelater and dump directly to a requirements.txt for others (including deployment) to use.I'm not saying pip and venv are worse than not using them. They're obviously mandatory for Python development. I mean that compared to other languages they provide a pretty awful experience and you'll constantly be fighting them. Here's some examples:
uvwhich is written in Rust and consequently is about 10x faster (57s to 7s in my case).pip install --conf-settings editable-mode=compat --editable ./mypackage. How user friendly. Apparently when they changed how editable packages were installed they were warned that it would break all static tooling but did it anyway. Good job guys.There's so much more but this is just what I can remember off the top of my head. If you haven't run into these things just be glad your Python usage is simple enough that you've been lucky!
Good luck!
Oh my. Yeah. I have seen these before indeed. IMO, that's also a sure sign that a compiled language needs to come into the picture (port the simplest conflicting component). Especially if, for some reason multiple dependency versions are needed (I have hit that in particular myself).
I've not yet had the pleasure of working with Rust much but that's the target for the next version that we start, so, will be fun.
Rust is a lovely language if you're okay getting deep into the nuts and bolts.