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SUMMARY:[BoF Room 105] Scientific Python Packaging Summit - C.A.M. Gerlach
 \, Henry Schreiner III
DTSTART;TZID=America/Chicago:20230713T183000
DTEND;TZID=America/Chicago:20230713T192500
DTSTAMP:20261007T041214Z
UID:pretalx-2023-H3GNAT@cfp.scipy.org
DESCRIPTION:"Python packaging is a rapidly changing landscape\, plagued by
  many hurdles and challenges for users. The scientific Python community fa
 ces some of the greatest difficulties of anyone here\, given the high reli
 ance on external binaries and compiled code\, the diversity of packaging e
 cosystems (PyPI\, Conda\, others)\, and the fact that many if not most use
 rs are not professional software engineers\, like in other ecosystems. Thi
 s is made all the more critical by the importance of reproducible research
 \, and its sensitivity to even small dependency changes.\n\nWe'd like to b
 uild on the recent momentum behind evolving the packaging landscape to bet
 ter serve these needs and building bridges between key players in the core
  Python and scientific spaces\, with an intense\, engaging and open discus
 sion. This will bring together the key community stakeholders and everyday
  package authors to sync up on best practices\, strengthen collaboration\,
  and help come to consensus that would take months or even years if not fo
 r in-person discussion\, as well as provide a jumping-off point for follow
 up conversations and future action items."
LOCATION:Classroom 105
URL:https://cfp.scipy.org/2023/talk/H3GNAT/
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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:20261007T041214Z
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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