Using NumPy/SciPy/scikit-learn approach to building wheels
Peter Cock <[email protected]> Wed, 5 Jul 2017 11:48:53 +0100
| Newsgroups | gmane.comp.python.bio.devel |
|---|---|
| Message-ID | <CAKVJ-_6xQoHup_c6ic3Z-2NmUiotAWscUK0FYdGMN1=kjxJZ9A@mail.gmail.com> |
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