Hi Ryan, On Mon, Dec 22, 2014 at 8:30 PM, Ryan Nelson <[email protected]> wrote:
> Maniteja, > > Ralf's suggestion for Numpy works very well. In a more general case, > though, you might want to play around with conda, the package manager for > Anaconda's Python distribution (http://continuum.io/downloads). > > I use the Miniconda package, which is pretty much just conda, to create > new "environments," which are a lot like virtualenvs ( > http://conda.pydata.org/docs/faq.html#env-creating). The nice thing here > is that all of the dependencies are only downloaded once, and you can make > Python 2 and 3 environments pretty easily. > > For example, to make a Python 3 environment, you could use the following: > $ conda create -n npy3 python=3 numpy ipython > $ source activate npy3 > That creates a Python3 environment called "npy3" with numpy, ipython, and > all the dependencies. Once activated, you can remove the conda version of > numpy and then install the development version: > [npy3]$ conda remove numpy > [npy3]$ python setup.py install > ### Do dev stuff ### > [npy3]$ source deactivate > > This is not necessary for what you are trying to do, but it might be > helpful to know about as you move along. > > Ryan > Thank you for the suggestion. I will remember this as a viable option. As of now, I have a virtual machine of ubuntu running on Windows. So, I wanted to have least overhead while running the VM. I have been following the discussion lists for about a month but I am now looking at trying out working hands-on with the code. With regards, Maniteja. _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
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