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Comment by bunderbunder

Right now it’s a hard sell vs Python, but I can imagine Python running out of runway soon. A lot of it’s existing scientific and statistical computing stack is built around the assumption that you’ll be working with data that conveniently fits in memory. Once you’ve sized out of pandas/scipy/scikit, your next major option is Spark, which is certainly powerful, but is also unwieldy.

I could see something like Julia earning a lot of mindshare if it had a really polished solution for the space between, “my data is hundreds of megabytes”, and, “my data is hundreds of gigabytes”.

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