Nuitka: An extremely compatible Python compiler

Post by nextlevelwizard » Thu, Sep 02, 2021, 2:41 PM UTC

eatonphil wrote: post #24

nextlevelwizard wrote: post #6

How is this more compatible than just python? Since it requires libpython so you anyway need to have python installed on the target machine? Also is this actually faster than just python? I tried it out with some bad expensive looping using lists with python3.9 and it was 100ms slower (1.3sec vs 1.4sec). Just in general why should I be using Nuitka?

> Also is this actually faster than just python? I tried it out with some bad expensive looping using lists with python3.9 and it was 100ms slower (1.3sec vs 1.4sec). Mind sharing that code? I'm sure someone would like to be able to look into this.

    import time
    start = time.time()
    list = []
    for i in range(10000000):
        list.append(i)
    sum = 0
    for item in list:
        sum = sum + i
    print(time.time() - start)

    1. start = time.time()
    2. pre-populated list since it should be constant e.g. list = [1,2,3,...] or completely remove it since it is not used anywhere
    3. pre-filled sum since it too is constant or same as above, removed since it is not used anywhere
    4. getting second time.time() and printting the difference

Post by spenczar5 » Thu, Sep 02, 2021, 2:58 PM UTC

Eikon wrote: post #35

spenczar5 wrote: post #32

Earlier quoted context omitted.

What sort of web applications do you work on where Python interpreter speed is the limiting factor? Usually, those applications are constrained by network throughput and context switches and page faults.

This argument is so tiring. That's part of why websites are so slow despite having insane hardware at their disposal. At my company, for a web app we run in production, we strive to get every response out of our infrastructure in under a millisecond, everything above that except for a few select endpoints is considered as a bug. By using sensible technology choices, it's not even that hard to do. A RDMS like postgres…

Post by Scarbutt » Thu, Sep 02, 2021, 3:08 PM UTC

eatonphil wrote: post #11

This project is super impressive. It makes me wonder why there's not a similarly mature JavaScript AOT compiler implementation for use in game development or other places where you want performance better than a VM and you're not allowed to JIT. A small recommendation for these release pages would be to link to the tag in whatever source host you're using! I just want to see the code.

Post by paiute » Thu, Sep 02, 2021, 3:22 PM UTC

nextlevelwizard wrote: post #42

BiteCode_dev wrote: post #16

Earlier quoted context omitted.

nuitka takes your python code and all its deps, turns it to c code, and compiles that into a standalone executable that is both faster and doesn't need a separate python vm to be installed.

Expect it does require libpython and at least on Ubuntu 20.04 it links against the dev version of the library. So not only can you not run the resulting binary on any random Ubuntu 20.04 you also need to install same version of the python and the "-dev" version. I did try this. With the "stock" python3 (3.8.something) I couldn't get nuitka to compile my code (or the example from the docs). With python3.9 I could star…

Post by takeda » Thu, Sep 02, 2021, 4:18 PM UTC

philpem wrote: post #8

Wow, this got my attention. I use Python for web application development. A 2-3x speedup would be very interesting for higher-load deployments.