Julia motivation: why weren’t Numpy, Scipy, Numba, good enough?

I recently gave a Why Julia? talk to a roomful of computational fluid dynamicists and astrophysicists. (http://online.kitp.ucsb.edu/online/transturb17/gibson/, Kavli Institute, UCSB 2017-02-02). I got two main skeptical responses. One Python expert in … Read more

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So you want to be a wizard – Julia Evans

Today I did the opening keynote at SRECon. This talk was a little less technical than my normal talks: instead of talking about tools like tcpdump (though tcpdump makes an appearance!), I wanted to talk about how to make a career where you’re constantly l... (more…)

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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... (more…)

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