Several banks, vendors and a regulator discuss how they are using the Julia programming language to improve their big data analytics capabilities. (more…)
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Increasing emphasis on data and quantitative methods in the biomedical
sciences is making biological research more computational. Collecting,
curating, processing, and analysing large genomic and imaging data sets poses
major computational challenges, as ... (more…)
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I guess I can give some historical motivation here. When we started working on Julia in 2009, the Python ecosystem was nowhere near where it is today: PyPy was pretty new (1.0 release 2007, the first version to be able to run any substantial Python app... (more…)
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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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