julia

Julia co-creator Stefan Karpinski explains why multiple dispatch makes Julia code and types reusable across packages with so little friction. He covers sharing basic types and sharing generic algorithms.

Steven G. Johnson, MIT professor and FFTW co-author, gives a JuliaCon 2019 keynote on metaprogramming and staged programming in Julia, showing how it enables high-performance numerical code and when not to use macros.

Julia co-creator Jeff Bezanson candidly lists fundamental problems with the language at JuliaCon 2019, including modularity, types and compiler latency, and how they might be solved.

Robin Deits presents the JuliaRobotics organization and shows how Julia is used to visualize, simulate and control a humanoid robot. The talk touches on real-time performance and composability across packages.

A JuliaCon talk by a NASA Launch Services Program engineer on modeling spacecraft separation dynamics in Julia. He describes replacing a Simulink-based workflow for checking launch vehicle separation requirements with Julia and ModelingToolkit, with large speedups and much shorter code.

Robert Moss's JuliaCon 2015 talk describes using Julia as a specification language for ACAS X, the next-generation airborne collision avoidance system that succeeds TCAS.

A JuliaCon 2016 talk by Shashi Gowda showing an APL implementation in Julia. APL code is translated to Julia and JIT compiled to machine code.

Stefan Karpinski's European Lisp Symposium 2016 talk asks whether Julia is a Lisp. He covers the features it borrows from Lisp, such as macros and closures, and where it departs, including syntax and its type system, with generated machine code shown.

Kiran Pamnany's Cambridge Julia Meetup talk on Julia's shared memory parallelism and its new task scheduler. It argues that fork-join and work-stealing models nest poorly and presents depth-first scheduling for composable parallelism.

Jiahao Chen's JuliaCon 2017 talk argues that vector transposes should be taken seriously in type systems and linear algebra libraries. It explains why treating vectors as matrices causes trouble in languages.

Fons van der Plas introduces Pluto.jl, a reactive notebook for Julia that tracks references between cells and re-runs affected cells when code changes. The talk was given at JuliaCon 2020.

Guy Steele's JuliaCon 2016 keynote on the Fortress language, its features and the lessons learned from the project.

Julia Galef introduces the soldier versus scout metaphor for two approaches to thinking, using the Dreyfus Affair as the illustration. She argues the scout mindset leads to better judgment.

Julia Galef uses pictures to explain Bayes' rule, then tells three personal stories showing how she applies it to improve her thinking.

Jan Vitek of Northeastern University gives a meetup talk on the challenges of making the R language run fast. He explains what in R's semantics makes it hard to optimize and to build a JIT compiler for.