Python Pandas speed

Andrew MacIntyre andymac at
Thu Jul 9 06:58:24 PDT 2020

On 9/07/2020 11:05 pm, karu.pruun wrote:
> I do not know what causes the difference but one of the likely issues
> is that the Linux libraries have been built using optimizations that
> DragonFly is missing. I do not mean optimizations as in compiler flags
> (although these count as well), I mean different code paths. The
> challenge is to identify which part in the whole stack is responsible
> for the optimization; and then find the relevant locations in source
> code; typically you are looking for #ifdef blocks in the source and
> also build part of the software.
> It would be very desirable to fix issues like these. Pandas and numpy
> are both fundamental in the python scientific computing stack.

It has been a long time since I've built numpy or it's predecessors but 
back then it's performance could be quite dependent on the way some of 
the 3rd party libs (e.g. LINPACK/BLAS) were selected and/or built.


Andrew I MacIntyre                     "These thoughts are mine alone..."
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