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A comment on Julia Computing Raises $4.6M in Seed Funding. Parent comment

Re:Julia Computing Raises $4.6M in Seed Funding by ferdterguson on Tuesday June 20, 2017 @10:27PM (#14600219)
> Python in some cases can be 100x slower than C

Yeah, the Python implemented version is. But people doing serious computing in Python that requires speed are doing it with NumPy or even Cython or just straight up calling C/Fortran libraries in Python.

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Re:Julia Computing Raises $4.6M in Seed Funding by fourthark on Wednesday June 21, 2017 @12:07AM (#14600579)
It's the same in R - you can have good performance of you use vectorized routines, because those routines are written in C/C++/Fortran.
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