5 ms·

IO and strings in Julia are very fast. The comment here in the blog post is about the (currently) 130ms overhead in starting up Julia.

• sam0x17 7y ago
  Yeah regarding that, I do think start-up speed is important, especially in a data-driven workflow where you run binaries on a dataset.
  • kristofferc 7y ago
    > run binaries on a dataset. That's not how (barely) anyone actually works with Julia when they do data-analysis though.
  • staticfloat 7y ago
    The implicit assumption in much of the Julia world is that the work being done on the dataset will dwarf the startup time; if your workload takes less than 100ms, it’s probably not worth spending tens of milliseconds on compiling your code in the first place, and you should run it with an interpreter. (Incidentally Julia does support that, but it requires a command-line flag, and can come with a heavy performance penalty if you are running numérica-heavy code)