Merge branch 'anacondaBlurb' into 'master'

Added Conda commands and newer/older notes

See merge request !124

content/guides/running_applications/using_anaconda_package_manager.md

@@ -96,6 +96,10 @@ at a minimum a name for the environment, and at least one package to
 install.  For example, suppose we wish to create a new environment, and
 need version 1.8 of NumPy.
 
+{{% notice info %}}
+The `conda create` command must be run on the login node.
+{{% /notice %}}
+
 {{% panel theme="info" header="Create a new environment by providing a name and package specification" %}}
 {{< highlight bash >}}
 conda create -n mynumpy numpy=1.8 
@@ -167,6 +171,10 @@ conda install ipython
 {{< /highlight >}}
 {{% /panel %}}
 
+{{% notice info %}}
+The `conda install` command must be run on the login node.
+{{% /notice %}}
+
 If you aren't currently in the environment you wish to install the
 package in, add the `-n `option to specify the name.
 
@@ -193,6 +201,11 @@ conda remove -n mynumpy ipython
 To exit an environment, we *deactivate* it.
 
 {{% panel theme="info" header="Exit current environment" %}}
+Newer versions of anaconda:
+{{< highlight bash >}}
+conda deactivate
+{{< /highlight >}}
+Older versions of anaconda:
 {{< highlight bash >}}
 source deactivate
 {{< /highlight >}}
@@ -254,7 +267,7 @@ Jupyter Notebook. To do so, follow the steps below, replacing
         {{< /highlight >}}
 
 4.  Once you have the environment set up, deactivate it:
-    {{< highlight bash >}}source deactivate{{< /highlight >}}
+    {{< highlight bash >}}conda deactivate{{< /highlight >}}
 
 5.  To make your conda environments accessible from the worker nodes,
     enter the following commands:
@@ -269,6 +282,9 @@ Jupyter Notebook. To do so, follow the steps below, replacing
 **Note**: Step 5 only needs to be done once. Any future created
 environments will automatically be accessible from SLURM notebooks
 once this is done.
+
+**Note**: For older version of anaconda, use `source deactivate` to 
+deactivate the environment.
 {{% /notice %}}
 
 6.  Login to JupyterHub at https://crane.unl.edu