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SUMMARY:Scientific Python: from `__init__` to `__call__` - Juanita Gomez
DTSTART;TZID=America/Chicago:20230712T131500
DTEND;TZID=America/Chicago:20230712T134500
DTSTAMP:20261017T023808Z
UID:pretalx-2023-3NBFHV@cfp.scipy.org
DESCRIPTION:The Scientific Python project aims to better coordinate the ec
 osystem and grow the community. Come hear about our recent progress and ou
 r plans for the coming year!
LOCATION:Amphitheater 204
URL:https://cfp.scipy.org/2023/talk/3NBFHV/
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SUMMARY:[BoF Room 105] Scientific Python Ecosystem Coordination - Jarrod M
 illman\, Stéfan van der Walt\, Juanita Gomez
DTSTART;TZID=America/Chicago:20230713T131500
DTEND;TZID=America/Chicago:20230713T141000
DTSTAMP:20261017T023808Z
UID:pretalx-2023-3HXLZV@cfp.scipy.org
DESCRIPTION:Scientific Python Ecosystem Coordination (SPEC) documents (htt
 ps://scientific-python.org/specs/) provide operational guidelines for proj
 ects in the scientific Python ecosystem. SPECs are similar to project-spec
 ific guidelines (like PEPs\, NEPs\, SLEPs\, and SKIPs)\, but are opt-in\, 
 have a broader scope\, and target all (or most) projects in the scientific
  Python ecosystem. Come hear more about what we are working on and plannin
 g. Better yet\, come share your ideas for improving the ecosystem!
LOCATION:Classroom 105
URL:https://cfp.scipy.org/2023/talk/3HXLZV/
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SUMMARY:[BoF Room 104] Beyond Notebooks: From reproducible to reusable res
 earch - C.A.M. Gerlach\, Juanita Gomez
DTSTART;TZID=America/Chicago:20230714T174500
DTEND;TZID=America/Chicago:20230714T184000
DTSTAMP:20261017T023808Z
UID:pretalx-2023-LGZUNG@cfp.scipy.org
DESCRIPTION:"Notebooks can be a powerful tool for the purposes for which t
 hey were designed—learning\, experimenting\, and sharing results. Howeve
 r\, users face many challenges when trying to achieve true reproducbility 
 with notebooks alone\, including lack of dependency management\, pitfalls 
 of non-linear interactive execution\, and requiring bespoke tooling to ope
 n and execute. Furthermore\, there is a growing need to go beyond reprodub
 ility of individual results—siloed into an opaque format possessing limi
 ted interoperability with the rest of the Python ecosystem—toward reusua
 bility of research methods\, that can be shared\, built upon\, and deploye
 d by users across the world. \n\nTherefore\, we invite the community to sh
 are their tools and workflows to go beyond reproducibility and towards tru
 e reusable science\, built on the shoulders of giants. Furthermore\, we ho
 pe to explore how we can encourage users and the community to move beyond 
 the notebooks monoculture and toward a holistic\, open\, modular and inter
 operable approaches to conducting research and developing scientific code.
 "
LOCATION:Classroom 104
URL:https://cfp.scipy.org/2023/talk/LGZUNG/
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