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UID:pretalx-euroscipy-2026-37RGPY@pretalx.com
DTSTART;TZID=CET:20260720T093000
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DESCRIPTION:Python’s Global Interpreter Lock (GIL) has long been a barrie
 r for scientific computing\, limiting the ability to fully utilise multi-c
 ore hardware and scale parallel workloads. With the introduction of free-t
 hreaded Python (PEP 703)\, this constraint is finally being lifted. Severa
 l core scientific Python packages (including NumPy\, SciPy\, and pandas) h
 ave already begun transitioning to support users who wish to use free-thre
 ading\, paving the way for improved performance and concurrency for the br
 oader ecosystem. This talk will explore what free-threading means for the 
 scientific Python community\,  discuss the technical challenges in adoptin
 g this new paradigm\, and highlight the practical impact it can have for u
 sers and maintainers. Attendees will receive actionable guidance for lever
 aging free-threading in their projects\, including insights into the trans
 ition process and lessons learned from early adopters.
DTSTAMP:20260603T185924Z
LOCATION:Room 1.38 (Ground Floor\, Turing)
SUMMARY:Unravelling the mystery of free threading for scientific computing 
 - Abby Mitchell\, Thomas Wouters
URL:https://pretalx.com/euroscipy-2026/talk/37RGPY/
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