On Tue, 11 Apr 2023 at 12:01, Chris Angelico <ros...@gmail.com> wrote: > > On Tue, 11 Apr 2023 at 20:15, Jim Schwartz <jsch...@sbcglobal.net> wrote: > > > > What’s the problem now? Is it with python on windows? I use python on > > windows so I’d like to know. Thanks > > > > Python itself is fine, but a lot of third-party packages are hard to > obtain. So if you need numpy, for instance, or psycopg2, you might > need to find an alternative source.
Both numpy and psycopg2 have binary wheels for Windows that can be pip installed from PyPI. I haven't used psycopg2 myself and I don't use Windows so I can't say if there is any difficulty using them but I presume that they can install and run just fine. Certainly the numpy wheels have been there for Windows for years and work just fine. Before numpy provided wheels they also provided MSI installers for Windows anyway so there was always an alternative to Christoph's stack. Christoph's Windows binaries project predated the wheel format and so the alternative options have improved massively since then. I presume that there are some projects where Christoph's binaries are still the only non-conda option (besides build yourself). I would not be surprised if all of those are installable by conda though and we are probably talking about projects that would seem obscure to most Python users. Certainly for the more widely used libraries like numpy installing binaries with pip is not a problem these days on Windows or other popular OS. I notice that psycopg2 *only* provides binaries for Windows and not e.g. OSX or Linux but the list of binaries provided by numpy is extensive with the current release listing wheels for all combinations of CPython 3.8-3.11, win32, win amd64, manylinux amd64, manylinux aarch64, OSX x64, OSX arm64: https://pypi.org/project/numpy/1.24.2/#files The difference now since the days when Cristoph started generating and hosting binaries is that it is typically expected that a project like numpy should produce its own binary wheels for popular platforms and host them on PyPI. Of course that is a burden on the numpy maintainers but tooling for this is much better than it used to be with things like cibuildwheel, free CI systems including Windows/OSX runners etc. It is *much* easier for a project to support generating Windows wheels now than it used to be and to a certain extent it just forms part of the normal CI setup that a project like numpy would want to have anyway. -- Oscar -- https://mail.python.org/mailman/listinfo/python-list
