I'm sorry if this is out-of-topic, but I'm curious on why nobody mentioned Conda yet.
Is there any particular reason for not using it? On Tue, Oct 27, 2015 at 11:48 AM, James E.H. Turner <jehtur...@gmail.com> wrote: > Apparently it is not well known that if you have a Python project >> source tree (e.g., a numpy checkout), then the correct way to install >> it is NOT to type >> >> python setup.py install # bad and broken! >> >> but rather to type >> >> pip install . >> > > Though I haven't studied it exhaustively, it always seems to me that > pip is bad & broken, whereas python setup.py install does what I > expect (even if it's a mess internally). In particular, when > maintaining a distribution of Python packages, you try to have some > well-defined, reproducible build from source tarballs and then you > find that pip is going off and downloading stuff under the radar > without being asked (etc.). Stopping that can be a pain & I always > groan whenever some package insists on using pip. Maybe I don't > understand it well enough but in this role its dependency handling > is an unnecessary complication with no purpose. Just a comment that > not every installation is someone trying to get numpy on their > laptop... > > Cheers, > > James. > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > https://mail.scipy.org/mailman/listinfo/numpy-discussion >
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