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UID:pretalx-euroscipy-2023-WJTLSW@pretalx.com
DTSTART;TZID=CET:20230816T141500
DTEND;TZID=CET:20230816T150000
DESCRIPTION:NumPy is planning a 2.0 release early next year replacing the 1
 .X release.  While we hope that the release will not be disruptive to most
  users we do plan some larger changes that may affect many.  These changes
  include modifications to the Python and C-API\, for example making the Nu
 mPy promotion rules more consistent around scalar values.
DTSTAMP:20260310T001536Z
LOCATION:HS 119 - Maintainer track
SUMMARY:What-not to expect from NumPy 2.0 - Sebastian Berg
URL:https://pretalx.com/euroscipy-2023/talk/WJTLSW/
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UID:pretalx-euroscipy-2023-CB9WMH@pretalx.com
DTSTART;TZID=CET:20230817T103000
DTEND;TZID=CET:20230817T120000
DESCRIPTION:This slot will cover the effort regarding interoperability in t
 he scientific Python ecosystem. Topics:\n\n- Using the Array API for array
 -producing and array-consuming libraries\n- DataFrame interchange and name
 space APIs\n- Apache Arrow: connecting and accelerating dataframe librarie
 s across the PyData ecosystem\n- Entry Points: Enabling backends and plugi
 ns for your libraries\n\n### Using the Array API for array-producing and a
 rray-consuming libraries\n\nAlready using the Array API or wondering if yo
 u should in a project you maintain? Join this maintainer track session to 
 share your experience and exchange knowledge and tips around building arra
 y libraries that implement the standard or libraries that consume arrays.\
 n\n### DataFrame-agnostic code using the DataFrame API standard\n\nThe Dat
 aFrame Standard provides you with a minimal\, strict\, and predictable API
 \, to write code that will work regardless of whether the caller uses pand
 as\, polars\, or some other library.\n\n### DataFrame Interchange protocol
  and Apache Arrow\n\nThe DataFrame interchange protocol and Arrow C Data i
 nterface are two ways to interchange data between dataframe libraries. Wha
 t are the challenges and requirements that maintainers encounter when inte
 grating this into consuming libraries?\n\n### Entry Points: Enabling backe
 nds and plugins for your libraries\n\nIn this talk\, we will discuss how N
 etworkX used entry points to enable more efficient computation backends to
  plug into NetworkX
DTSTAMP:20260310T001536Z
LOCATION:HS 119 - Maintainer track
SUMMARY:Interoperability in the Scientific Python Ecosystem - Joris Van den
  Bossche\, Tim Head\, Olivier Grisel\, Franck Charras\, Mridul Seth\, Seba
 stian Berg
URL:https://pretalx.com/euroscipy-2023/talk/CB9WMH/
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