Yep, that's fine. If your wheel collection is comprehensive, you've done the requisite work to properly support your users. If people are going to PyPI vs going to conda, though, then it's less clear to me.
On Thu, Jun 13, 2019, 07:48 Maxime Boissonneault < [email protected]> wrote: > On 2019-06-12 10:56 AM, Michael Sarahan wrote: > > That's a good point, but rather than say "don't use conda at all" - that's > more reason to have custom channels where conda is set up to comply with > those needs. Conda need not be mutually exclusive with these things, but > it does take some setup to get them working together. > > That's not what I'm saying. What I'm saying is consult with your local > experts. > > On our clusters, *we* tell users don't use conda. > > We provide a comprehensive list of precompiled python wheels. There is > absolutely no need for conda in 99% of the cases. > > I don't see why we would support custom conda channels when we can just as > well support python wheels that don't require conda. > > > Maxime > > > > Saying "don't use conda at all" is ignoring the work that has to happen > either way. Either you have to reproduce what conda is providing somehow, > or you have to make conda use the part on the system side. That's > definitely a case-by-case scenario for everyone, and we need to document > both paths. > > For your example of MPI, conda packages are setup to explicitly require > some MPI implementation where necessary. That package can come from an > actual conda MPICH package, or it can come from a known binary compatible > system installation that has a conda package setup to reference it. Conda > is not dogmatic about being hermetic (unlike, say, bazel). Binary > compatibility with external libraries can be pretty tricky, though. > > On Wed, Jun 12, 2019 at 9:48 AM Maxime Boissonneault < > [email protected]> wrote: > >> Hi, >> How about including a part about when *not* to use Conda ? >> >> In particular, if they are going to be computing on a supercomputer, they >> should consult with your cluster specialists first. >> Conda works well on somebody's desktop, but it creates a lot of problems >> on supercomputers, because it does crazy stuff like installing MPI by >> itself instead of relying on staff-installed modules and software packages. >> >> Cheers, >> >> Maxime >> >> >> On 2019-06-12 9:49 AM, David Pugh wrote: >> >> All, >> >> I have developed a Software Carpentry style lesson for Conda and would be >> keen to get feedback from the community! >> >> Website: >> >> https://kaust-vislab.github.io/introduction-to-conda-for-data-scientists/ >> >> Repo: >> >> https://github.com/kaust-vislab/introduction-to-conda-for-data-scientists >> >> Thanks and look forward to hearing from you! >> >> David >> >> >> *The Carpentries <https://carpentries.topicbox.com/latest>* / discuss / > see discussions <https://carpentries.topicbox.com/groups/discuss> + > participants <https://carpentries.topicbox.com/groups/discuss/members> + > delivery > options <https://carpentries.topicbox.com/groups/discuss/subscription> > Permalink > <https://carpentries.topicbox.com/groups/discuss/Tb12fc97e5ee621f2-M1342d710fc4e431e3998ff41> > > > -- > --------------------------------- > Maxime Boissonneault > Analyste de calcul - Calcul Québec, Université Laval > Président - Comité de coordination du soutien à la recherche de Calcul Québec > Team lead - Research Support National Team, Compute Canada > Instructeur Software Carpentry > Ph. D. en physique > > ------------------------------------------ The Carpentries: discuss Permalink: https://carpentries.topicbox.com/groups/discuss/T32ac38bed70dbd29-M1bba3f5b070787aa2455838f Delivery options: https://carpentries.topicbox.com/groups/discuss/subscription
