I cite CPython specifically as CPython both to indicate that I mean that specific interpreter, and that I mean Python code, not Python driving other languages.
While I fully believe that a Python program with a superior O()-complexity class can beat Java (or, indeed, any language), and that a simpler Python program can hypothetically beat a Java program that is just too complicated, it would also be the case that taking that faster Python program and then porting that into Java would then see order of magnitude+ speed increases. Python is slow. When comparing languages I generally add the caveat "with some non-zero and comparable amount of time dedicated to optimization" to try to build a reasonable comparison, because most programs that have had no effort done on optimization at all will have their performance dominated by something stupid that the programmer didn't even realize they wrote.
The speed increases aren't relevant if the old Java was "too slow" and the new Python is "fast enough". Every program I've ever written could be made faster... but they're all fast enough now.
Pure Python with some non-trivial optimization effort can not beat a Java program with some non-trivial optimization effort, and that's before the Java code starts using multiple CPUs, if the problem is amenable to that.
This is not cheerleading, dumping on Python, or promoting Java, as if anything my personal biases are in fact the other way (tbh I don't particularly like either at this point but I'd much rather be using Python). This is just engineering stuff that good engineers should know: https://jerf.org/iri/post/2024/not_about_python/
I’m not saying that Java or even V8 shouldn’t be able to beat Python but rather that in many cases the optimizations needed to beat it are to a first approximation saying “stop using Spring/NextJS/etc.” and never happen. The gap between potential and actual speed has been quite frustrating to see expanding over the years.
"This Post Is Not About Python" seems to say the fans are acting irrationally by letting their political brain take over. Failure to calmly evaluate the downsides of their favorite options because they see them as attacks on the target of their fandom is a mistake that only hurts them. I think this understates the fans' case. When they see criticism of their favorite platform as an attack, it is because it is an attack in the war over network effects. Losing this war doesn't just deprive your platform of the benefits of popularity; it actively harms it by diverting shared resources.
I'll quote "Technology Holy Wars are Coordination Problems": [1]
> The enduring phenomenon of holy wars in computing, such as the bitterness around the prolonged Python 2 to Python 3 migration, is not due to mere pettiness or love of conflict, but because they are a coordination problem: the problem is not getting everyone to make a good decision, but making the same decision.
I agree that you can make better software engineering decisions if you avoid thinking like a fan and that a poor choice of language can hinder a project from the start. In light of what is at stake, though, "engineers should never be fans" is an unrealistic call for peace. It reminds me of this dialogue: [2]
> There’s a passage in the Principia Discordia where Malaclypse complains to the Goddess about the evils of human society. “Everyone is hurting each other, the planet is rampant with injustices, whole societies plunder groups of their own people, mothers imprison sons, children perish while brothers war.”
> The Goddess answers: “What is the matter with that, if it’s what you want to do?”
While I fully believe that a Python program with a superior O()-complexity class can beat Java (or, indeed, any language), and that a simpler Python program can hypothetically beat a Java program that is just too complicated, it would also be the case that taking that faster Python program and then porting that into Java would then see order of magnitude+ speed increases. Python is slow. When comparing languages I generally add the caveat "with some non-zero and comparable amount of time dedicated to optimization" to try to build a reasonable comparison, because most programs that have had no effort done on optimization at all will have their performance dominated by something stupid that the programmer didn't even realize they wrote.
The speed increases aren't relevant if the old Java was "too slow" and the new Python is "fast enough". Every program I've ever written could be made faster... but they're all fast enough now.
Pure Python with some non-trivial optimization effort can not beat a Java program with some non-trivial optimization effort, and that's before the Java code starts using multiple CPUs, if the problem is amenable to that.
This is not cheerleading, dumping on Python, or promoting Java, as if anything my personal biases are in fact the other way (tbh I don't particularly like either at this point but I'd much rather be using Python). This is just engineering stuff that good engineers should know: https://jerf.org/iri/post/2024/not_about_python/