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Information
Date: Monday, February 27th 9AM - 10AM Pacific time (click for your timezone)
Zoom Link: https://caltech.zoom.us/j/87686129450
Discord invite link
Summit topic planner
Participants
msankeys963#0660
jpivarski#8588
@jjerphan
Agenda
The summit is scheduled for 1 hour (hour -> week?) and will consist of a series of high-level
birds-of-a-feather (BoF)-style talks, followed by more focused discussion.
Jarrod: Harder to have cross project, whole community dynamic, trying to make that better.
Stefan:
(30) Meeting Topics https://github.com/scientific-python/summit-2023/issues
Jarrod Millman: Goal
build
Stéfan van der Walt: Build systems
pip install -e .
.Henry Schreiner: I'd like to see scikit-build-core included when looking at modern compiled build systems. It has simliar features to meson-python, and due to PEP 621, a lot of the basic setup is shared.
Henry Schreiner: I'm interested in contributing the Scikit-HEP Developer guidelines (including cookiecutter with 12 build backends & WebAssembly Repo Review) - need discussion about what it would look like and would be called.
Stéfan van der Walt: Sparse Arrays in SciPy
[Isaac] Question: Could this include getting major packages (like scikit-learn) to support sparse arrays?
[Isaac] Could this be task for this sprint? Getting support for these? I would love to work on this, since it's my main blocker for switching over the array apis.
[Isaac]: Also I forgot from that meeting, but was using numba a possible solution for the scikit-learn sparse needs? I've done a fair amount of custom sparse ops in numba for scverse packages.
Julien Jerphanion I do not think numba will solve scikit-learn's needs for sparse arrays (scikit-learn chose to depend on only a libraries, including numba).
Brigitta Sipőcz: Shared infrastructure for SPECS and beyond
SPECs: The current SPEC drafts are documents about policies the core libraries opt-in to follow (e.g. producing and using developer versions in testing), however, template implementation / suggested examples are needed to work out.
Testing: Libraries facing the same or very similar doctesting and docs building challenges, aggregating the needs and centralizing these efforts into a small number of pytest-plugins, and sphinx-extensions.
pytest -k "..."
)?Tutorial infrastructure:
Matthias: I'm happy to give/move my backport bot to Scientific-Python
- pllim: I love backport bot! It saves me and my colleagues so much time and it is so easy to install now.
- Matthias: That would allow SP to also "claim" all the things the bot has done.
- leah : wow matthias that looks awesome
- Matthias: I guess the bot to open issues when project drop support for older versions.
Juanita Gomez: Community building & documentation
How we collect metrics and package stats?
Who will be at JupyterCon ? Can we bootstrap som of those things at JupyterCon sprints ? (may 13, 14, Paris, jupytercon.com)
Leah: Same question for pycon US! i'm happy to work on / talk about some things there as well
Benchmarking (from Mridul Seth)
Leah: there are some other topics we are working on around things like telemetry in open source that we could potentially talk about if there is interest given we are developing policy. it could just be a few short conversations for this type of topic. maybe the conversation relates around how to create policy with input from this community?
Martin: I'd be interested in CI workflows that test my PR/RC against downstream packages depending on my package. Similarly to what CRAN is doing in the R world.
Sanket: Release managers like Rever, Towncrier etc.
(10 min) Discussion
(5 min) Wrap up and next steps
Notes