diff --git a/src/FAQ.md b/src/FAQ.md index 3ec51a3165071ed34c23bb4b09786083f8ed962a..ad83584dcad1c7af4c29102991e2f76bab27ea08 100644 --- a/src/FAQ.md +++ b/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? diff --git a/src/usage/SharedFolders.md b/src/usage/SharedFolders.md index 15730bc513d8679df35af70096da5c2d60266d38..43ec7909bb9c7e3a454898438968b0dbd15dc887 100644 --- a/src/usage/SharedFolders.md +++ b/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.