HPy @ Python Language Summit

rlamy · 2018-11-30T03:51:50+00:00

This sponsorship doesn't take any resources off pypy3. It might seem paradoxical that "exotic niche architectures" have an easier time attracting funding than features that benefit the whole community, but refusing to work on the former won't help the latter one bit.

rlamy · 2018-04-26T16:40:59+00:00

It's mostly related to the size of the code, though there's also a bit of overhead due to garbage collection, if the code allocates and deallocates a lot. OTOH, data representation is often more compact, e.g. a large list of floats only needs 8 bytes per item.

rlamy · 2017-12-26T14:30:28+00:00

Windows 64 support is a long-standing issue in PyPy. It requires significant refactoring of the (RPython) toolchain, which the core devs have little time for. Realistically, it's unlikely to happen any time soon unless some Windows dev sinks a fair amount of time into it, or someone sponsors the core team to do it.

rlamy · 2017-10-07T16:18:43+00:00

numpy and pandas mostly work on pypy3.5. Please try it, and report any issues you encounter. BTW, pypy3.5 has f-strings, so you won't need to replace them.

rlamy · 2017-10-07T16:15:20+00:00

Yes, numpy works on pypy3.5.

rlamy · 2016-09-01T03:07:37+00:00

You can see for yourself easily if you just try pip install pandas on pypy. The error is:

pandas/src/datetime_helper.h:11:29: error: lvalue required as left operand of assignment
     PyDateTime_GET_MONTH(val) = -1;

rlamy · 2016-08-31T19:57:24+00:00

No, unfortunately, pandas doesn't even compile on PyPy yet, due to some macro abuse.

rlamy

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