Despite not using it in production yet, I sponsor this project as I want it to succeed - I just need to find the time to move years of carefully crafted Ansible roles over and above way of making our internal modules nicely composable.
pyinfra is for running things across a number of machines and/or containers. For example to provision them, much like Ansible. So Python's startup time isn't terribly relevant.
Also, have you tried Python's startup time in the last decade or so? On my 2-year old, $150 computer with an Intel N100 (a very low-end CPU) running Ubuntu, `python3 -c "print('hello')"` takes 15ms. On my 8-year old Mac mini, it's 35ms. Both are significantly faster than what humans perceive as instantaneous, so Python's startup time is more than fast enough for many things.
When I use the phrase "too slow" I am referring to being slow _relative to other interpreters_ I use, such as the Almquist shell intepreter (NetBSD sh or Debian's dash), the ngn-k interpreter, the spitbol interpreter, the dino interpreter, the lua interpeter, etc.
HN commenters often state that "Python is (pre)installed everywhere"
This is not true on the computers I operate. For example, there is no python interpreter in NetBSD's base.tgz
Here we see a project that uses Python to run the shell, even though, if HN commenters are correct, "Python is (pre)installed everywhere"
Of course, the shell _is_ preinstalled everywhere and this project relies on that fact
IME, the shell and other interpreters are much faster than Python for what I need to do
I am aware of Python's current speed as it is sometimes a compile-time requirement for third party software that I am compiling. I remove Python after I am done
Readit News
I don't use Python as it's too slow for me, e.g., the startup time for the interpreter
Also, have you tried Python's startup time in the last decade or so? On my 2-year old, $150 computer with an Intel N100 (a very low-end CPU) running Ubuntu, `python3 -c "print('hello')"` takes 15ms. On my 8-year old Mac mini, it's 35ms. Both are significantly faster than what humans perceive as instantaneous, so Python's startup time is more than fast enough for many things.
HN commenters often state that "Python is (pre)installed everywhere"
This is not true on the computers I operate. For example, there is no python interpreter in NetBSD's base.tgz
Here we see a project that uses Python to run the shell, even though, if HN commenters are correct, "Python is (pre)installed everywhere"
Of course, the shell _is_ preinstalled everywhere and this project relies on that fact
IME, the shell and other interpreters are much faster than Python for what I need to do
I am aware of Python's current speed as it is sometimes a compile-time requirement for third party software that I am compiling. I remove Python after I am done