Julia Seattle: Language Features for Data Science


Details
Please sign in at the front door.
If you cannot attend in person, you can watch this event on Livestream:
https://livestream.com/accounts/23925505/events/8341557
This is a panel discussion regarding the programming language Julia.
Meet the panelists:
Elliot Saba
https://staticfloat.github.io/
BinaryBuilder.jl - A new way to build binary dependencies for Julia
Building and serving binary dependencies for Julia has been a challenging problem in the past. With BinaryBuilder.jl and BinaryProvider.jl, we present a set of powerful and straightfoward tools to compile, serve and load binary dependencies for packages on all platforms Julia supports.
Valentin Churavy
https://www.linkedin.com/in/vchuravy/
JuliaGPU — Composable GPU computing in Julia
In other programming languages (that shall not be named) one has either the option to write low-level GPU kernels OR can only work with high-level abstractions. In this talk we explore how Julia enables both and how that enables the GPU ecosystem to compose with the rest of the Julia.
Jeff Bezanson
https://www.linkedin.com/in/jeffbezanson/
Namedtupleology
Named tuples are a major new feature in julia 0.7/1.0 that provide a convenient and efficient way to access tuple elements by name. While apparently quite simple, there is more to them than meets the eye. Python has a similar feature of the same name, which we studied carefully during our design process. The talk will include a comparison between the two languages’ designs.
Chad Scherrer
https://www.linkedin.com/in/chadscherrer/
Julia for Probabilistic Programming
Historically, most implementations of probabilistic programming have required significant engineering resources. Julia’s language features and existing libraries have the potential to simplify such development without sacrificing performance. We’ll build simple macro-based implementation of this.
Also in attendance, Alex Arslan a Julia Language Developer
https://www.linkedin.com/in/alex-arslan-90030351/
Schedule:
6:00pm - 6:30pm Networking
6:30pm - 7:30pm Panel
7:30pm - 8:00pm Networking
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Julia Seattle: Language Features for Data Science