Hi,

On 6 April 2017 at 23:53, Matthias Bussonnier
<[email protected]> wrote:
> Up until recently, conda was shipping with nb_kernel_extension (or I
> don't remember the name) that would automatically discover kernel in
> multiple env. So 2 is IMHO (prefered).

https://github.com/Cadair/jupyter_environment_kernels can do that as
well: install it (from git master), enable it in the notebook config
and you get support for conda (python and R kernels) and virtualenv
environments, including activating the environment before starting the
kernel.

Kind regards,

Jan

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