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This is an archived project. Repository and other project resources are read-only.
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RWTHjupyter
Documentation
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16fca14d
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16fca14d
authored
4 years ago
by
Steffen Vogel
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update FAQ
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@@ -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?
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@@ -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?
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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.
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