Conda can generally install older versions of python in environments: conda create -n myenv python=3.4
You really don't need any particular initial version of python/conda in order to do this. You do, however, need to activate the new environment to use it: activate myenv (For windows, you do not need "source") Hth, Michael On Mon, Jan 25, 2016, 17:21 G Young <gfyoun...@gmail.com> wrote: > With regards to testing numpy, both Conda and Pip + Virtualenv work quite > well. I have used both to install master and run unit tests, and both pass > with flying colors. This chart here > <http://conda.pydata.org/docs/_downloads/conda-pip-virtualenv-translator.html> > illustrates > my point nicely as well. > > However, I can't seem to find / access Conda installations for slightly > older versions of Python (e.g. Python 3.4). Perhaps this is not much of an > issue now with the next release (1.12) being written only for Python 2.7 > and Python 3.4 - 5. However, if we were to wind the clock slightly back to > when we were testing 2.6 - 7, 3.2 - 5, I feel Conda falls short in being > able to test on a variety of Python distributions given the nature of Conda > releases. Maybe that situation is no longer the case now, but in the long > term, it could easily happen again. > > Greg > > > On Mon, Jan 25, 2016 at 10:50 PM, Nathaniel Smith <n...@pobox.com> wrote: > >> On Mon, Jan 25, 2016 at 2:37 PM, G Young <gfyoun...@gmail.com> wrote: >> > Hello all, >> > >> > I currently have a branch on my fork (not PR) where I am experimenting >> with >> > running Appveyor CI via Virtualenv instead of Conda. I have build >> running >> > here. What do people think of using Virtualenv (as we do on Travis) >> instead >> > of Conda for testing? >> >> Can you summarize the advantages and disadvantages that you're aware of? >> >> -n >> >> -- >> Nathaniel J. Smith -- https://vorpus.org >> _______________________________________________ >> NumPy-Discussion mailing list >> NumPy-Discussion@scipy.org >> https://mail.scipy.org/mailman/listinfo/numpy-discussion >> > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > https://mail.scipy.org/mailman/listinfo/numpy-discussion >
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