[Biopython-dev] Using NumPy/SciPy/scikit-learn approach to building wheels

Peter Cock p.j.a.cock at googlemail.com
Fri Jul 7 15:31:49 UTC 2017

Matthew Brett is happy with this plan :)

I'll be creating a new repository for this (probably next week):


Once that is up and running, the goal would be to make a
trivial commit there to update the version tag, and then TravisCI
and AppVeyor would be triggered to fetch that tagged commit
from the main repository, and build all the compiled wheels for us.

e.g. An example from AstroPy:


For now it would be a manual step (after final QC) to upload
the wheels to PyPI for public use.



On Wed, Jul 5, 2017 at 11:48 AM, Peter Cock <p.j.a.cock at googlemail.com> wrote:
> Dear Biopythoneers,
> RE: https://github.com/biopython/biopython/issues/1296
> There has been an impressive amount of work in the wider
> NumPy ecosystem to automate building compiled wheels for
> Linux, Mac and Windows:
> Here is how NumPy etc does their wheels:
> https://github.com/MacPython/numpy-wheels
> A more relevant example of another project using NumPy:
> https://github.com/MacPython/astropy-wheels
> Background to the setup:
> https://github.com/MacPython/wiki/wiki
> https://github.com/matthew-brett/multibuild
> Unless anyone has a better idea, I plan to ask Matthew Brett
> if Biopython can also use the Rackspace donated resources
> originally for the scikit-learn team for hosting the wheels prior
> to uploading to PyPI:
> https://github.com/MacPython/wiki/wiki/Managing-Rackspace
> Regards,
> Peter

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