update FAQ

src/FAQ.md

@@ -22,6 +22,12 @@ You can work around this, by installing packages into your home directory:
 pip install --user pandas
 ```
 
+You can also add this line into a Jupyter Notebook cell by prefixing it with an exclamation mark:
+
+```python
+!pip install --user pandas
+```
+
 It is currently not possible to load custom conda environemnts.
 
 ### How can I rebuild the Docker image which used for my profile?
@@ -34,13 +40,11 @@ https://jupyter.rwth-aachen.de/service/profile/
 
 ### What is the purpose of the `shared`, `materials` and `dataset` directories in my home directory
 
-These directories are additional mountpoint and available for all users by default.
+Please have a look at the following dedicated page: [Shared Folders](usage/SharedFolders)
 
-- `shared` is read-writable by everybody and be used to quickly exchange or share files with other users
-- `materials` is read-only and contains several example materials for using Jupyter
-- `dataset` is read-only and contains larger datasets commonly used in machine learning environments.
+### How can I share a notebook with colleagues, friends, partners or my instructor?
 
-Feel free to contact us, if you wish to add you examples or datasets.
+Please have a look at the following dedicated page: [Links](usage/SharedNotebooks.md)
 
 ### How can I create a perma-link to a open a specific profile and/or Jupyter notebook?
 

src/usage/SharedFolders.md

@@ -24,6 +24,8 @@ https://git-ce.rwth-aachen.de/jupyter/example-materials
 This folder contains a collection of well-known machine learning datasets.
 Due to their size, they are shared between all users.
 
+Feel free to contact us, if you wish to add you examples or datasets.
+
 ## `shared`
 
 This folder can be used as a global scratch pad to exchange files between all users of the cluster.