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Comment by ActorNightly | Hacker News Reader

3.11 and on should be comparable to Java for most use cases with multiprocessing (set up correctly of course)

How do you mean? 3.11 is something like 10-20% faster than earlier Python releases. Why should that make it comparable to Java? Typically Java is still several times faster than Python, and this is totally natural since Java performance benefits from static type declarations and the language is generally less dynamic than Python.

That said I still use Python for CPU intensive tasks since in my experience Numpy/Scipy/Numba etc does a good job speeding up the CPU intensive parts of Python code.

Static type declarations don't make Java fast. The compiler does. Dynamically typed languages with no type declarations can be very fast if the compiler can infer the types.

That's not to say that Python will ever get there. My understanding is that the design of the language and leaky implementation details make generally compiling Python to fast machine code nearly impossible.

Well, we already have a mature, real-world Python JIT in PyPy, with impressive performance.

I dunno if Python is ever gonna be as fast as Java or C#, but we know it can be much better.

I can't find any benchmarks of PyPy vs OpenJDK or GraalVM, but unless I'm mistaken it's still more than 100% difference, and maybe much, much more for pure-Python vs. Java.

Here ya go. On these sometimes one is faster, sometimes the other. https://github.com/kostya/jit-benchmarks/blob/master/README.... Personally i don’t like such comparisons. Benchmarking is hard and far from objective. Much of what makes python popular is the developer experience. Generic benchmarks will only give a rough guide about what to expect in your application. If you are in a niche like the OP, you will have to figure out how to handle your bottlenecks.

Eagerly awaiting no-Gil Flask vs. Dropwizard performance analysis.

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