Hi all,
I had a call with Alex and Kirill a couple of hours ago to kick off the
ODC application for OSGeoLive.
We discussed about the ODC dependencies and we now have a first
(untested) debian package in place:
https://launchpad.net/~gcpp-kalxas/+archive/ubuntu/osgeolive/+sourcepub/11562787/+listing-archive-extra
Best,
Angelos
On 9/2/20 10:25 PM, Brian M Hamlin wrote:
Hi Markus and Alex -
the osgeolive 2020 python3 environment is not yet alpha. Already in
meetings, there are different ideas of how to build python, between
the voting members, and I mean the kind of different ideas that do not
overlap much .. there are just different ways to install python3 and
they are not the same results or process.
perhaps you read the trac ticket #2247, the famous-but-not-famous
'Python and Jupyter' task for osgeolive 2020. the first alpha builds
of osgeolive may be quite different, and people are busy .. so perhaps
a little bit of positive communication up front will help to avoid
distressing or non-overlapping design of python3 libs on osgeolive 2020.
miniconda linux is not an option for osgeolive; straight deb-only
install is preferred by the os-level maintainers; pip has improved
multiple times over several years and has signed installs available,
and certainly python-only libraries are the least friction. Security
is not the focus of osgeolive, but it is foolish to ignore
I welcome your input, and the reason I write is that you two are
both aware of the steady and continuing body of MachineLearning /
Statistically-driven prediction and even AI systems of some kinds,
expanding from python3. I can also say quickly that I do not think
that a GPU-aware DeepLearning setup is a priority on osgeolive, but it
could be done, maybe a side-project.
-Brian
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--
Angelos Tzotsos, PhD
President
Open Source Geospatial Foundation
http://users.ntua.gr/tzotsos
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