fix custom environment, add hint load modules at jupyterhub interface

doc.zih.tu-dresden.de/docs/access/jupyterhub_custom_environments.md

@@ -10,7 +10,7 @@ We currently have two different architectures at ZIH systems.
 Build your kernel environment on the **same architecture** that you want to use
 later on with the kernel. In the examples below, we use the name
 "my-kernel" for our user kernel. We recommend to prefix your kernels
-with keywords like `alpha`, `barnard`, `romeo`, `power9`, `venv`, `conda`.
+with keywords like `alpha`, `barnard`, `capella`, `romeo`, `power9`, `venv`, `conda`.
 This way, you can later recognize easier how you built the kernel and on which hardware it
 will work. Depending on that hardware, allocate resources as follows.
 
@@ -48,20 +48,23 @@ description on using them with JupyterHub:
 
 Depending on the Cluster that you are targeting, please choose the right modules:
 
-=== "release/23.10"
+=== "release/24.04"
 
     For use with Python version 3.10.4,
     please try to initialize your Python Virtual Environment like this:
 
     ```console
-    [marie@barnard ~]$ module load release/23.10  GCC/11.3.0  Python/3.10.4
-    Module GCC/11.3.0, Python/3.10.4 and 12 dependencies loaded.
+    [marie@barnard ~]$ module load release/24.04  GCCcore/11.3.0  Python/3.10.4
+    Modules GCCcore/11.3.0, Python/3.10.4 and 11 dependencies loaded.
     ```
 
-=== "release/23.04"
+=== "release/23.10"
+
+    For use with Python version 3.10.4,
+    please try to initialize your Python Virtual Environment like this:
 
     ```console
-    [marie@barnard ~]$ module load release/23.04  GCC/11.3.0  Python/3.10.4
+    [marie@barnard ~]$ module load release/23.10  GCC/11.3.0  Python/3.10.4
     Module GCC/11.3.0, Python/3.10.4 and 12 dependencies loaded.
     ```
 
@@ -91,6 +94,10 @@ Installed kernelspec my-kernel in .../.local/share/jupyter/kernels/my-kernel
 (my-kernel) marie@compute$ deactivate
 ```
 
+!!! hint
+    If you use extra modules at your virtual environment please load them accordingly at
+    Jupyter's Hub using the module load plugin located at the left sidebard.
+
 ## Conda Environment
 
 Load the needed module depending on Cluster architecture:

[Martin Schroschk]

-!!! hint
-    If you use extra modules at your virtual environment please load them accordingly at
+!!! hint "Extra modules"
+
+    If you use extra modules at your virtual environment please load them accordingly at

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