Resolve "Update documentation on virtual env. for Alpha"

• fixed example for pytorch/torchvision in venv
• add workspace creation for venv in example
• add hint for workspaces and venv in general
• quick fix for deprecated JH section

Closes #533 (closed)

doc.zih.tu-dresden.de/docs/jobs_and_resources/alpha_centauri.md

@@ -128,11 +128,19 @@ marie@login.alpha$ module spider <module_name>
 additional Python packages and create an isolated runtime environment. We recommend using
 `virtualenv` for this purpose.
 
-??? example "Example: Creating virtual environment and installing `torchvision` package"
+!!! hint
+
+    We recommend to use [workspaces](../data_lifecycle/workspaces.md) for your virtual environments.
+
+??? example "Example: Creating a virtual environment and installing `torchvision` package"
 
     ```console
     marie@login.alpha$ srun --nodes=1 --cpus-per-task=1 --gres=gpu:1 --time=01:00:00 --pty bash -l
-    marie@alpha$ mkdir python-environments                               # please use workspaces
+    marie@alpha$ ws_allocate -n python_virtual_environment -d 1
+    Info: creating workspace.
+    /beegfs/ws/1/marie-python_virtual_environment
+    remaining extensions  : 2
+    remaining time in days: 1
     marie@alpha$ module load release/23.04 GCCcore/11.3.0 GCC/11.3.0 OpenMPI/4.1.4 Python/3.10.4
     Module GCC/11.3.0, OpenMPI/4.1.4, Python/3.10.4 and 21 dependencies loaded.
     marie@alpha$ module load PyTorch/1.12.1-CUDA-11.7.0
@@ -141,30 +149,30 @@ additional Python packages and create an isolated runtime environment. We recomm
     /software/rome/r23.04/Python/3.10.4-GCCcore-11.3.0/bin/python
     marie@alpha$ pip list
     [...]
-    marie@alpha$ virtualenv --system-site-packages python-environments/my-torch-env
+    marie@alpha$ virtualenv --system-site-packages /beegfs/ws/1/marie-python_virtual_environment/my-torch-env
     created virtual environment CPython3.8.6.final.0-64 in 42960ms
-      creator CPython3Posix(dest=~/python-environments/my-torch-env, clear=False, global=True)
+      creator CPython3Posix(dest=/beegfs/.global1/ws/marie-python_virtual_environment/my-torch-env, clear=False, global=True)
       seeder FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=~/.local/share/virtualenv)
         added seed packages: pip==21.1.3, setuptools==57.2.0, wheel==0.36.2
       activators BashActivator,CShellActivator,FishActivator,PowerShellActivator,PythonActivator,XonshActivator
-    marie@alpha$ source python-environments/my-torch-env/bin/activate
-    (my-torch-env) marie@alpha$ pip install torchvision
+    marie@alpha$ source /beegfs/ws/1/marie-python_virtual_environment/my-torch-env/bin/activate
+    (my-torch-env) marie@alpha$ pip install torchvision==0.13.1
     [...]
     Installing collected packages: torchvision
-    Successfully installed torchvision-0.10.0
+    Successfully installed torchvision-0.13.1
     [...]
     (my-torch-env) marie@alpha$ python -c "import torchvision; print(torchvision.__version__)"
-    0.10.0+cu102
+    0.13.1+cu102
     (my-torch-env) marie@alpha$ deactivate
     ```
 
 ### JupyterHub
 
 [JupyterHub](../access/jupyterhub.md) can be used to run Jupyter notebooks on Alpha Centauri
-sub-cluster. As a starting configuration, a "GPU (NVIDIA Ampere A100)" preset can be used
-in the advanced form. In order to use latest software, it is recommended to choose
-`fosscuda-2020b` as a standard environment. Already installed modules from `modenv/hiera`
-can be preloaded in "Preload modules (modules load):" field.
+cluster. You can either use the
+[standard profiles for Alpha](../access/jupyterhub.md#standard-profiles) or use the advanced form
+and define the resources for your JupyterHub job. The "Alpha GPU (NVIDIA Ampere A100)" preset
+is a good starting configuration.
 
 ### Containers