[CentralOH] conda.io - using conda for virtual environments and package management

[Eric Floehr]

Thanks! Having binary packages is a huge benefit, especially for Windows
users. I know that I generally just rely on "with-site-packages" for
virtualenv when I need big packages that need compiled like numpy, scipy,
etc. because it's such a pain to get all the libraries, etc. and verify
correct compilation.

I'll have to check it out...


On Fri, Feb 13, 2015 at 10:20 AM, pybokeh <pybokeh at gmail.com> wrote:

> I think the real advantage is if you are on  Windows or don't want to
> compile packages from source.  Since conda is part of Anaconda
> distribution, there are already many popular pre-compiled binaries readily
> available and Continuum IO the company behind Anaconda usually do a decent
> job of quickly getting the latest version of their packages pushed out.  If
> a package is not available in Anaconda, you can still install it using pip.
>
> Also this is subjective, but I prefer the conda's more user-friendly
> command line arguments over virtualenv's commands.  For example, if you
> want to create an environment for a specific python version, in conda it is
> just python=2.7 or python=3.4 whereas in virtualenv, you have to provide
> the full path to the python interpreter.
>
> This is about all I can think of off the top of my head.  I used to use
> virtualenv, but I guess I got less patient over the years waiting on
> compiling a package from source.
>
> - Daniel
> On Feb 13, 2015 9:38 AM, "Eric Floehr" <eric at intellovations.com> wrote:
>
>> Hi Daniel,
>>
>> What are the things you like about conda over virtualenv?
>>
>> -Eric
>>
>>
>> On Fri, Feb 13, 2015 at 9:32 AM, pybokeh <pybokeh at gmail.com> wrote:
>>
>>> Hello List,
>>> I know virtualenv gets a lot of mention for making virtual environments,
>>> but I recommend conda instead.  Check out http://conda.io/ for more
>>> info.
>>>
>>> - Daniel
>>>
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