Use venv/bin/python app.py to run it.
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That works nicely. Thanks π
I use my own Zsh project (zpy) to manage venvs stored like ~/.local/share/venvs/HASH-OF-PROJECT-PATH/venv
, so use zpy's vpy
function to launch a script with its associated Python executable ad-hoc, or add a full path shebang to the script with zpy's vpyshebang
function.
vpy and vpyshebang in the docs
If anyone else is a Zsh fan and has any questions, I'm more than happy to answer or demo.
This. I've experimented by using pex before and one or two other means of executable python wrappers and they suck. Just do as lakeeffect says.
Yep. This is the way.
I think the path to venv should be absolute right?
Yeah, for the most part but really depends on what youβre trying to do specifically.
Just activate the venv and then put it out of your mind. Can activate it with either a relative or absolute path. Doesn't matter which
I use pipenv with pyenv together. This works pretty well, also in cron jobs. Just add pipenv run python script.py
to the cron table.
As someone's new comments just brought me back to this post, I'll point out that these days there's another good option: uv run.
You could package it and install with pipx
Just in case this comment didn't make it explicitly clear, you can just invoke the python binary inside your venv directly and it will automatically locate all the libraries that are installed in your virtual environment.
To show how this works, you can look at the sys.path
variable to see which paths python will search for modules when you run import statements. Try running python3 -c 'import sys; print(sys.path)'
using your system python, and you will only see system python library paths. Then, try running it again after replacing python3
with the full path to the python3
binary in your venv, and you will see an additional entry in the output with the lib
directory in your venv, which shows that python will also look there for modules when an import statement is executed.
Does it need access to anything local? If not, you could run it as an AWS Lambda on a schedule.