David, thanks so much for this -- your bullets below crystallize a
number of issues I've been wrestling with at NIST, where we also have a
new HPC resource which is intended to benefit a broad user-base with
machine-learning expertise but who are not traditional HPC users,
and we're also makin
Maxime,
Thanks for continuing to engage on this topic as it gets to one of my
primary motivations for developing this lesson. Some background, at KAUST
we have three university managed clusters: two heterogeneous commodity
clusters and one Cray XC 40 HPC. These clusters are all managed using
trad
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 <
maxime.boissonnea...@calculquebec.ca> wr
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
Hi all,
The Carpentries Member Organisation Council Meetings are a place to *discuss
building capacity for training and community* through your organisation and The
Carpentries Membership Program. Join representatives from Member Organisations
around the world to talk about Carpentries at you
Aleksandra,
Can you confirm that issue you encountered with using conda and jupyter is
the issue discussed in this blog post?
http://jakevdp.github.io/blog/2017/12/05/installing-python-packages-from-jupyter/index.html
Thanks!
David
On Wed, Jun 12, 2019 at 7:04 PM David Pugh wrote:
> David,
>
