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

[Peter Cock]

Perfect, thank you Markus.

With the assistance of a colleague we could test the 32-bit
Python 2.7 and 3.6 wheels.

The hardest part was finding pip in order to run the command.

For Python 2.7 we first had to upgrade Python as the early
point releases did not include it (this is simpler than
bootstrapping a pip installation), then it was available as:

C:\Python27\Scripts\pip

(Optionally including the .exe extension).

For Python 3.6, it seems the default installation folder was
a per-user app-data folder which is harder to describe...

In neither case was pip on the path - so we're going to have
to give slightly more guidance for Windows installation from
a wheel.

My colleague is of the view that continuing to offer EXE or MSI
installers does significantly lower the barrier of entry - although
as far as I can tell this would limit you to NumPy 1.10.2 (from
December 2015):

https://sourceforge.net/projects/numpy/files/NumPy/1.10.2/

For now I will get the wheels uploaded to PyPI...

Thanks all,

Peter

On Tue, Jul 18, 2017 at 11:25 AM, Markus Piotrowski
<Markus.Piotrowski at ruhr-uni-bochum.de> wrote:
> Dear Peter,
>
> I tested the following wheels under Windows7. They installed without error
> and the MD5 checksums are correct:
>
> c3930614c24b851f40cbe1c72b0a214f  biopython-1.70-cp27-cp27m-win32.whl
> 6d14ac2b0aa7c186d96b031018c31039  biopython-1.70-cp35-cp35m-win32.whl
> 106304d4173eed93e580a0482e8af3cc  biopython-1.70-cp35-cp35m-win_amd64.whl
>
> I run a short script using pairwise2 without problems. Any more I can do to
> check the installation?
>
>
> --
> _________________________________
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