Understanding Juliacon 2020 Dispatching Design Patterns Aaron Christianson

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Key Takeaways about Juliacon 2020 Dispatching Design Patterns Aaron Christianson

  • Dr. Yu Sun @ Cal Poly Pomona.
  • Abstract: We take stock of Julia and its ecosystem. The releases since 1.0 have been less major and non-breaking—which has ...
  • Lessons learned while achieving a 100x speedup of TrajectoryOptimization.jl by eliminating allocations. Memory allocations can ...
  • Rocket.jl is a native Julia implementation of reactive programming concepts. The package uses the observable sequence and ...
  • TimeStamps: 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! See the description for details. Want to ...

Detailed Analysis of Juliacon 2020 Dispatching Design Patterns Aaron Christianson

This talk covers common In Julia 1.5, a new interface for calling dynamic libraries will be introduced: the @ccall macro. The talk goes over the new syntax, ... Julia command literals are one of the most compelling abstractions for dealing with processes in any programming language.

If you're familiar with Julia and its ecosystem, you may have noticed something lovely but a bit puzzling: there seems to be an ...

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