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SUMMARY:Towards developing a production app with Julia - Cédric Belmant\,
  Steffen Ridderbusch
DTSTART;TZID=US/Eastern:20230727T113000
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DTSTAMP:20260815T013650Z
UID:pretalx-juliacon2023-3QFPST@pretalx.com
DESCRIPTION:When starting a company built on mathematical concepts Julia s
 eems like an obvious choice because of its capabilities for enabling rapid
  prototypes\, rewrites\, and pushing for performance early. This talk pres
 ents our journey to build a Julia production app. In particular\, we prese
 nt how we use a monorepo within a distributed team and how we set up our c
 ontinuous-integration infrastructure. Finally\, we introduce an open sourc
 e project which aims to make it easier to write Julia serverless apps.
LOCATION:26-100
URL:https://pretalx.com/juliacon2023/talk/3QFPST/
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SUMMARY:Geometric Algebra at compile-time with SymbolicGA.jl - Cédric Bel
 mant
DTSTART;TZID=US/Eastern:20230727T150000
DTEND;TZID=US/Eastern:20230727T153000
DTSTAMP:20260815T013650Z
UID:pretalx-juliacon2023-KPXNR7@pretalx.com
DESCRIPTION:Geometric Algebra is a high-level mathematical framework which
  expresses a variety of geometric computations with an intuitive language.
  While its rich structure unlocks deeper insight and an elegant simplicity
 \, it often comes at a cost to numerical implementations. After giving an 
 overview of geometric algebra and its applications\, a Julia implementatio
 n is presented which uses metaprogramming to shift the work to compile-tim
 e\, enabling a fast and expressive approach to computational geometry.
LOCATION:32-144
URL:https://pretalx.com/juliacon2023/talk/KPXNR7/
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SUMMARY:When type instability matters - Théo Galy-Fajou\, Cédric Belmant
DTSTART;TZID=US/Eastern:20230728T161000
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DTSTAMP:20260815T013650Z
UID:pretalx-juliacon2023-CNBSS3@pretalx.com
DESCRIPTION:Type instabilities are not always bad! Using non-concrete type
 s\, and avoiding method specialization and type inference can help with im
 proving latency and\, in specific cases\, runtime performance. The latter 
 is observed in inherently dynamic contexts with no way to compile all poss
 ible method signatures upfront\, because code needs to be compiled at poin
 ts of dynamic dispatch by design. We present a concrete case we face in ou
 r production environment\, additional examples\, and related trade-offs.
LOCATION:32-144
URL:https://pretalx.com/juliacon2023/talk/CNBSS3/
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