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Julia 1.9 precompilation will be a turning point

76 点作者 ptype大约 2 年前

3 条评论

peatmoss大约 2 年前
Over the years I’ve kept coming back to Julia, like what I see, but ultimately end up with a deadline that has me reaching for R or Python. My latest foray has convinced me that the ecosystem is ready for me to double down and make it my language of first recourse for data science related tasks this year.<p>Precompilation sounds like it improves further on an annoyance (time-to-first-plot problem) that was already no longer much of an annoyance in Julia 1.8x.
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abhimanyuaryan大约 2 年前
As package developers we need to optimize our packages for 1.9. It&#x27;s quite a task but I am excited what&#x27;s ahead in Julia. Matlab(is not open-source, R is slow and not really a general purpose language, Python is great but same issue 2-lang problem...why should I implement CUDA in C++ or Numpy in C. I want to be able to modify lower back-end code but with Python it&#x27;s not possible. Julia fixes all of these problems and I am quite happy I invested my time in Julia. Present&#x2F;Future is bright :)
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jarbus大约 2 年前
I don’t understand how this wasn’t already implemented, it seems like such low hanging fruit
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