add hint to not use conda init anymore

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

@@ -251,8 +251,8 @@ 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)
+    For working with conda virtual environments, it may be necessary to configure your shell
+    as described in [Python virtual environments](../software/python_virtual_environments.md#conda-virtual-environment)
 
 #### Python Virtualenv
 
@@ -292,6 +292,11 @@ Load the needed module depending on partition architecture:
     marie@ml$ module load PythonAnaconda
     ```
 
+!!! hint
+    For working with conda virtual environments, it may be necessary to configure your shell as
+    described in
+    [Python virtual environments](../software/python_virtual_environments.md#conda-virtual-environment).
+
 Continue with environment creation, package installation and kernel
 registration:
 

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

@@ -149,8 +149,8 @@ and files via `chmod`.
 
 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)
+    For working with conda virtual environments, it may be necessary to configure your shell as
+    described in [Python virtual environments](../software/python_virtual_environments.md#conda-virtual-environment).
 
 === "virtualenv"
 

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

@@ -12,8 +12,8 @@ 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)
+    For working with conda virtual environments, it may be necessary to configure your shell 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:
 

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

@@ -123,17 +123,20 @@ marie@compute$ source /scratch/ws/1/python_virtual_environment/env/bin/activate
 
 **Prerequisite:** Before working with conda, your shell needs to be configured
 initially. Therefore login to the ZIH system, load the Anaconda module and run
-`conda init`. For more information use `conda init --help`. Note that changes
-take effect after closing and re-opening your shell.
+`sh $EBROOTANACONDA3/etc/profile.d/conda.sh`. Note that changes take effect after closing and
+re-opening your shell.
+
+!!! warning
+    We recommend to **not** use the `conda init` command, since it may cause unexpected behaviour
+    when working with the ZIH system.
 
 ??? example
 
     ```console
     marie@compute$ module load Anaconda3    #load Anaconda module
     Module Anaconda3/2019.03 loaded.
-    marie@compute$ conda init    #configure shell
+    marie@compute$ sh $EBROOTANACONDA3/etc/profile.d/conda.sh    #init conda
     [...]
-    modified      /home/marie/.bashrc
     ```
 
 This example shows how to start working with **conda** and virtual environment

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

@@ -116,7 +116,7 @@ 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)
+    configure your shell as described in [Python virtual environments](python_virtual_environments.md#conda-virtual-environment)
 
 ## TensorFlow with Python or R