Demystifying auto-vectorization in Julia

One of the most impressive features of Julia is that it lets you write generic code. Julia’s powerful LLVM-based compiler can automatically generate highly efficient machine code for base functions and user-written functions alike, on any architecture sup… Read more

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Compiling Julia to the GPU

After 2 years of slow but steady development, we would like to announce the first preview release of native GPU programming capabilities for Julia. You can now write your CUDA kernels in Julia, albeit with some restrictions, making it possible to use Juli... (more…)

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Strings vs. Symbols in Julia’s DataFrames

In DataFrames.jl you can use both symbols and strings for column indexing. Which to choose is one of the topics that new users ask about most frequently. In this post I will explain why both options are supported and what is a difference between them. Not... (more…)

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Julia Pkg downtime incident due to GitHub

Earlier today, several users started seeing issues installing packages. This post seeks to collect all the information related to this incident. Impact The issue caused installation of incorrect versions (latest master when a prior version was requested)... (more…)

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