Sujet : Re: Best practise for managing Conda environments?
De : loris.bennett (at) *nospam* fu-berlin.de (Loris Bennett)
Groupes : comp.lang.pythonDate : 22. Sep 2026, 09:14:14
Autres entêtes
Organisation : FUB-IT, Freie Universität Berlin
Message-ID : <87cxu566uh.fsf@zedat.fu-berlin.de>
References : 1 2
User-Agent : Gnus/5.13 (Gnus v5.13)
Lawrence D’Oliveiro <
ldo@nz.invalid> writes:
On 21 Sep 2026 09:17:29 GMT, Martin Schöön wrote:
>
I am a full time Linux user and moved from pip to conda for managing
my Python life a few years ago. I am not an advanced conda user by
any measure. For the most part moving to conda was a good idea.
>
My impression of Conda is that it’s more suited to Windows/Mac
environments which lack native package management. For example, I
don’t see a package for Conda under Debian -- surely something as
useful as that is made out to be, would be supported. But it’s not.
>
The most complex piece of third-party Python-based code that I install
is Jupyter, and that goes quite nicely into a virtualenv maintained
with pip.
I help run a Linux HPC system at a university and see Conda being used by
research mainly from the life sciences. I think the main advantage is that
Conda also provides non-Python dependencies, such as CUDA for GPU-processing
or numerical libraries written in C, such as BLAS. If, as Martin mentions,
you are using Windows or MacOS, this is probably quite helpful.
However, if you are on a Linux machine, the OS packages plus pip within a venv
will, in my experience, get you quite a long way. That, together with poetry,
has been all I have needed for developing my own software with Python, but
obviously YMMV,
Cheers,
Loris
-- This signature is currently under constuction.
Haut de la page
Les messages affichés proviennent d'usenet.
NewsPortal