Cool stuff! As a conda user and conda advocate for workshops
installations I really liked it.
Just a few minor comments though (and I can do those on GH as
issue/PRs if you prefer):

- The original post on "stop installing TensorFlow with pip" is
https://www.anaconda.com/tensorflow-in-anaconda

- I would install git with conda and avoid the different git install
instruction for the different platforms. "conda install git" works for
macOS, Windows, and Linux.

- Conda has an idiosyncrasy with the environment creations: "conda env
create" vs "conda create" and it would be nice to have a
disambiguation note there.

- Loved the channel tutorial! But there are a few caveats with mixing
packages that should be mentioned and channel priority does not solve
it. It is recommend to use the "strict" option. See
https://conda-forge.org/docs/user/tipsandtricks.html#how-to-fix-it

Again, amazing stuff and if you agree with the points I raised above I
will be happy to help with PRs.

Best,

-F

On Wed, Jun 12, 2019 at 10:07 AM Aleksandra Taranov
<[email protected]> wrote:
>
> I went through the tutorial and really like it. It's clear and easy to 
> understand. It was educational for me since I use pip installs. The only 
> thing that I wish it touched on is how to use jupyter notebooks with conda.
>
> Aleks
>
> On Wed, Jun 12, 2019, 6:51 AM David Pugh <[email protected]> wrote:
>>
>> All,
>>
>> I have developed a Software Carpentry style lesson for Conda and would be 
>> keen to get feedback from the community!
>>
>> Website:
>>
>> https://kaust-vislab.github.io/introduction-to-conda-for-data-scientists/
>>
>> Repo:
>>
>> https://github.com/kaust-vislab/introduction-to-conda-for-data-scientists
>>
>> Thanks and look forward to hearing from you!
>>
>> David
>
> The Carpentries / discuss / see discussions + participants + delivery options 
> Permalink

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