Merge branch 'issue-275-add-conda-init-hint-across-wiki' into 'preview'

add hints to conda init

See merge request !499

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

@@ -244,6 +244,8 @@ Python virtualenv or conda environment.
 !!! note
     Please keep in mind that Python virtualenv is the preferred way to create a Python
     virtual environment.
+    For working with conda virtual environments, it may be necessary to configure your shell via
+    `conda init` as described in [Python virtual environments](../software/python_virtual_environments.md#conda-virtual-environment)
 
 #### Python Virtualenv
 

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

@@ -101,9 +101,9 @@ address bar contains the encoded parameters starting with `#/`.
 
 You can combine both features in a single link:
 
-    ```
-    https://taurus.hrsk.tu-dresden.de/jupyter/hub/user-redirect/git-pull?repo=https://github.com/jdwittenauer/ipython-notebooks&urlpath=/tree/ipython-notebooks/notebooks/language/Intro.ipynb#/~(partition~'interactive~environment~'test)
-    ```
+```
+https://taurus.hrsk.tu-dresden.de/jupyter/hub/user-redirect/git-pull?repo=https://github.com/jdwittenauer/ipython-notebooks&urlpath=/tree/ipython-notebooks/notebooks/language/Intro.ipynb#/~(partition~'interactive~environment~'test)
+```
 
 ![URL with quickstart parameters](misc/url-quick-start.png)
 {: align="center"}
@@ -141,7 +141,10 @@ and files via `chmod`.
 - Modules can also be loaded in the Jupyter spawner via preload modules
 (considering the Python version of your virtual environment).
 
-Set up your shared Python virtual environment for JupyterHub:
+Set up your shared Python virtual environment for JupyterHub.
+!!! hint
+    For working with conda virtual environments, it may be necessary to configure your shell via
+    `conda init` as described in [Python virtual environments](../software/python_virtual_environments.md#conda-virtual-environment)
 
 === "virtualenv"
 

doc.zih.tu-dresden.de/docs/archive/install_jupyter.md

@@ -60,6 +60,10 @@ marie@compute$ ./Anaconda3-2019.03-Linux-x86_64.sh
 
 (during installation you have to confirm the license agreement)
 
+!!! hint
+    For working with conda virtual environments, it may be necessary to configure your shell via
+    `conda init` as described in [Python virtual environments](../software/python_virtual_environments.md#conda-virtual-environment)
+
 Next step will install the anaconda environment into the home
 directory (`/home/userxx/anaconda3`). Create a new anaconda environment with the name `jnb`.
 

doc.zih.tu-dresden.de/docs/software/data_analytics_with_python.md

@@ -11,6 +11,10 @@ Often, it is useful to create an isolated development environment, which can be
 a research group and/or teaching class. For this purpose,
 [Python virtual environments](python_virtual_environments.md) can be used.
 
+!!! hint
+    For working with conda virtual environments, it may be necessary to configure your shell via
+    `conda init` as described in [Python virtual environments](python_virtual_environments.md#conda-virtual-environment)
+
 The interactive Python interpreter can also be used on ZIH systems via an interactive job:
 
 ```console

doc.zih.tu-dresden.de/docs/software/tensorflow.md

@@ -114,6 +114,10 @@ Basic test of tensorflow - A Hello World!!!...
 [...]
 ```
 
+!!! hint
+    In the above example, we create a conda virtual environment. To use conda, it is be necessary to
+    configure your shell in advance via `conda init` as described in [Python virtual environments](python_virtual_environments.md#conda-virtual-environment)
+
 ## TensorFlow with Python or R
 
 For further information on TensorFlow in combination with Python see