Commit 54b5ab81 authored by Adam Caprez's avatar Adam Caprez

Merge branch 'anaconda_page_update' into 'master'

Update conda page and fix broken link

See merge request !215
parents f1857029 07e73105
......@@ -122,6 +122,13 @@ Our new environment is now active, and we can use it. The shell prompt will cha
### Adding and Removing Packages from an Existing Environment
{{% notice note %}}
**NOTE:** By default, conda packages are installed in the user's `home` directory.
Since Crane's `home` directories are not writeable from the worker nodes,
the commands for installing, adding and removing conda packages shown here
should be performed on the **login node**, and not as part of an interactive or SLURM job.
{{% /notice %}}
To install additional packages in an environment, use the `install`
subcommand. Suppose we want to install iPython in our 'mynumpy'
environment. While the environment is active, use `install `with no
......@@ -230,7 +237,7 @@ Jupyter Notebook. To do so, follow the steps below, replacing
server.
3. Click the logout button in the top right corner.
2. Using the command-line environment, load the target conda
2. Using the command-line environment of the **login node**, load the target conda
environment:
{{< highlight bash >}}conda activate myenv{{< /highlight >}}
......
......@@ -153,7 +153,7 @@ srun --pty --mem=4gb --qos=short --gres=gpu --partition=gpu $SHELL
{{% notice info %}}
The `--gres=gpu --partition=gpu` options are used here as the `tensorflow-gpu` image is
GPU enabled. If you are using a non-GPU image, you may omit those options. See the page
on [submitting GPU jobs]({{< relref "/guides/submitting_jobs/submitting_cuda_or_openacc_jobs/_index.md" >}})
on [submitting GPU jobs]({{< relref "../../submitting_jobs/submitting_gpu_jobs/" >}})
for more information.
{{% /notice %}}
......
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