Stanford University and Julia Computing
Are you new to Julia?! This beginners’ tutorial should be accessible to anyone with technical computing needs and some experience with another language. We will show you why Julia is special, demonstrate how easy Julia is to learn, and get you writing some Julia code.
Fugro Roames
Julia focuses on speed and user productivity, due in part to its metaprogramming capability. This workshop arms you with the knowledge to create fast, generic and easy-to-use APIs using techniques including multiple dispatch, recursion, traits, constant propagation, macros, and generated functions.
Julia Computing, Koç University, and University College London
Machine Learning has become one of the hottest research and industry areas over the last few years; we believe Julia is the strongest contender to become the language for Machine Learning and in this tutorial we will give a flying start to train/deploy models and use of the power that Julia brings.
Imperial College, London
This workshop brings together 4 speakers on different topics in numerical analysis, to demonstrate the strengths of Julia’s approach to scientific computing in atomistic simulations, function approximation, differential equations, fast transformations, validated numerics, and linear algebra.
University of California, Berkeley
This workshop will introduce the Queryverse family of packages, a unified data science stack on julia. It provides tools for file IO, data querying, visual data exploration and statistical plotting. It also integrates with a large number of other julia packages.
UC Irvine and MIT
Climate scientists solve fluid dynamics PDEs. Biologists solve reaction-diffusion PDEs. Economists solve optimal control PDEs. But solving PDEs is hard! Where do you start? This workshop gives a broad overview of the Julia package ecosystem and shows how to tie it together to solve these problems.
MIT Sloan
JuMP is an award-winning DSL for mathematical optimization that has quickly become the gold-standard for its simplicity, performance, and versatility. A major overhaul of JuMP will be finalized during the JuMP-dev workshop in June, so it is the perfect time for an updated tutorial and feature demo.
Julia Computing
A hands on workshop demonstrating the use of natural language processing tools in Julia. Working with textual data, we will discuss methods for data collection, parsing, pre-processing, embedding, classification and deep neural networks.
