After a lengthy design process and preliminary foundations in Julia 0.5, Julia 0.6 includes new facilities for writing code in the “vectorized”
style (familiar from Matlab, Numpy, R, etcetera) while avoiding the
overhead that this style of programming...
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Last time I have posted about the take-aways for DataFrames.jl from
JuliaCon 2020. This time I wanted to share my general conclusions
from attending different talks at this extremely successful event. (more…)
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This survey of features of the Julia programming language is the first lecture in a short 6-session course on process and concepts needed to participate in o... (more…)
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Here's a language that gives near-C performance that feels like Python or Ruby with optional type annotations (that you can feed to one of two static analysis tools) that has good support for macros plus decent-ish support for FP, plus a lot more. What's ... (more…)
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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 ... (more…)
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