Re: Best Practice Virtual Environment

This is how we handle this problem at a large organization.
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In the repository there are a number of build scripts. For convenience we
use poetry (poetry.toml) to manage the virtual  environment. A
pyproduct.toml is used to define dependencies, how tests are run, the
linter config, etc.
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So there are scripts for poetry lock, poetry install, and whatever else is
needed.
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A user pulls down the repository and runs
1. poetry lock
2. poetry install
And they have their environment with the proper dependencies.
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On Sun, Oct 6, 2024, 09:47 Karsten Hilbert via Python-list <
python-list@python.org> wrote:
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Am Sun, Oct 06, 2024 at 12:21:09AM +0200 schrieb Karsten Hilbert via
Python-list:
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Am Sat, Oct 05, 2024 at 10:27:33PM +0200 schrieb Ulrich Goebel via

Python-list:

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Debian (or even Python3 itself) doesn't allow to pip install required

packages system wide, so I have to use virtual environments even there. But
is it right, that I have to do that for every single user?

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Can someone give me a hint to find an howto for that?

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If you do find how to cleanly install non-packaged modules
in a system-wide way (even if that means installing every
application into its own *system-wide* venv) - do let me
know.

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It seems dh-virtualenv is one way to do it. On Debian.
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Karsten
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