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SUMMARY:Unravelling the mystery of free threading for scientific computing
  - Thomas Wouters
DTSTART;TZID=Poland:20260720T093000
DTEND;TZID=Poland:20260720T100000
DTSTAMP:20260906T112452Z
UID:pretalx-euroscipy-2026-37RGPY@pretalx.com
DESCRIPTION:Python’s Global Interpreter Lock (GIL) has long been a barri
 er for scientific computing\, limiting the ability to fully utilise multi-
 core hardware and scale parallel workloads. With the introduction of free-
 threaded Python (PEP 703)\, this constraint is finally being lifted. Sever
 al core scientific Python packages (including NumPy\, SciPy\, and pandas) 
 have already begun transitioning to support users who wish to use free-thr
 eading\, paving the way for improved performance and concurrency for the b
 roader ecosystem. This talk will explore what free-threading means for the
  scientific Python community\,  discuss the technical challenges in adopti
 ng this new paradigm\, and highlight the practical impact it can have for 
 users and maintainers. Attendees will receive actionable guidance for leve
 raging free-threading in their projects\, including insights into the tran
 sition process and lessons learned from early adopters.
LOCATION:Room 1.38 (Ground Floor\, Turing)
URL:https://pretalx.com/euroscipy-2026/talk/37RGPY/
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