Hacker News Reader

Comment by std_throwaway | Hacker News Reader

This is different from the package that I've tested (PyInstaller or py2exe).

Is Nuikta compatible with numpy, pickle, etc? I remember that numpy was very problematic with compilers like pypy for a long time.

View on HN

In my experience it's easier and more reliable than PyInstaller or Py2exe to use, and cross plateform (but no cross compilation). It doesn't pack python files with an executable. It translates the Python code to C then compiles it.

Nuikta supports numpy officially, you can even see it in change logs: http://nuitka.net/posts/nuitka-release-0521.html

I haven't tried pickle.

>This is different from the package that I've tested (PyInstaller or py2exe).

In an ancestor comment you say:

> A single file several hundred Megabytes in size.

Are both points referring to PyInstaller? Asking because I've tried out PyInstaller with small CLI as well as GUI (wxPython) programs, and the resulting EXEs did not reach near that size, IIRC.

It was around 150..300 MB if I remember right. Admittedly, I do import a lot of modules. Program startup for me is in the seconds, not milliseconds. I maybe could cut it down 50% or even 80% but then that would cost a few weeks or a few months. Having a quick and robust solution to be implemented in a single week to cut down startup times by that amount would be highly preferable.

Interesting. I see what you mean. That tip that someone else mentioned, IIRC, in this thread, to import modules inside functions that use them, could cut down startup time, but only if those functions are not called at startup, only later during the program's run. But it would not change the EXE size, I guess.

I wish Python and all other interpreted languages came with a way to build EXEs from the start. It would be great for deployment.

Reply on news.ycombinator.com