JuliaCon 2018 in London
JuliaCon 2018 in London
Julia 1.0 release: the geek party of the century
Workshops:
- An Introduction to Julia (Jane Herriman) Watch it if you need it.
- Solving Partial Differential Equations with Julia (Chris Rackauckas) Gives an overview of the options available to solve PDEs in Julia
- A practical introduction to metaprogramming in Julia Tips from a pro, although no macros…
- Queryverse (David Anthoff) The Queryverse family of packages, a unified data science stack on Julia.
- Machine Learning with Julia: Elegance, Speed and Ease On the Knet.jl ML package.
Talks
- Jameson compiler introspection tools (no video)
- Pkg3 (the new package manager)
- the new, fast and shiny (but also a bit tricky) package manager
- Subtyping Made Simple (Francesco Nardelli) First detailed, scientific study of Julia’s type-system. Very understandable!
- Engineering Julia for Speed (Lionel Zoubritzkz) Nice overview talk on how Julia manages to be fast and how multiple dispatch is used.
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An introduction to high performance custom arrays (Matt Bauman) Good overview of how Arrays work and how you can make your own.
- Cassette.jl: Dynamic, Context-Specific Computer Pass Injection for Julia (Jarret Revels) Crazy, mind-boggling framework for updating what Julia code does on the fly.
- Making the test-debug cycle more efficient (Tim Holy) Tim shows his new Rebugger.jl package for debugging Julia code.
- Flux.jl: The elegant machine learning library (Mike Innes) Seems well cool ML framework
Lightning talks
- Geospatial processing (Martijn Visser) Cool geo-spatical tools
- Parameters.jl (Mauro Werder) Yours truly
And many more