I find it also helps to install nb_conda in all the conda environments that
I use Jupyter in.

What happens when you do jupyter kernelspec list ?

Curt

On Wed, Oct 25, 2017 at 8:29 AM, Greg Landrum <greg.land...@gmail.com>
wrote:

> Hopefully you are using conda environments and not virtual envs, but
> whenever this happens to me it’s because I forgot to install Jupyter in the
> new environment, so when I invoke Jupyter from the command line it uses the
> one in the default conda environment.
>
> Test for this: check that you have Jupyter installed and are using the
> right one (“which jupyter”)
>
> -greg
>
> ------------------------------
> *From:* Markus Metz <metm...@gmail.com>
> *Sent:* Wednesday, October 25, 2017 3:36:08 PM
> *To:* RDKit Discuss
> *Subject:* [Rdkit-discuss] two rdkit versions, always one is used
>
> Hello all:
>
> I just installed the newest rdkit version via conda in a virtual env
> called 09217.
> This went without any problems.
> In addition I have an older rdkit version installed in a virtual env
> called 092016.
>
> Now, when I run a jupyter notebook in the 092017 env and display the rdkit
> version it still says 092016.
>
> Does anybody have an idea what is going on?
>
> Many thanks in advance,
>
> Markus
>
>
>
>
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