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en:services:application_services:jupyter:start [2019/05/10 14:26]
bwegman1 [What is Jupyter / Jupyter-Hub?]
en:services:application_services:jupyter:start [2019/08/12 12:12]
bwegman1 [What is Jupyter / Jupyter-Hub?]
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 Jupyter-Hub is the portal users log in to and start and manage their notebooks and associated files. Jupyter-Hub is the portal users log in to and start and manage their notebooks and associated files.
  
-Please note that you can also use [[https://​info.gwdg.de/​docs/​doku.php?​id=en:​services:​application_services:​high_performance_computing:​jupyter|Jupyter on our SCC]] if you do need direct access to data on the SCC and have medium to high compute resource requirements.+Please note that you can also use [[https://​info.gwdg.de/​docs/​doku.php?​id=en:​services:​application_services:​jupyter:hpc|Jupyter on our SCC]] if you do need direct access to data on the SCC and have medium to high compute resource requirements.
  
 ===== How to use Jupyter / Jupyter-Hub?​ ===== ===== How to use Jupyter / Jupyter-Hub?​ =====
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 Additional Python modules can be installed via the terminal and the Python package manager "​pip"​. To do this, a terminal must be opened via the menu "​New"​ -> "​Terminal"​. Afterwards <​code>​pip install --user <​module></​code>​ installs a new module in the home directory. Additional Python modules can be installed via the terminal and the Python package manager "​pip"​. To do this, a terminal must be opened via the menu "​New"​ -> "​Terminal"​. Afterwards <​code>​pip install --user <​module></​code>​ installs a new module in the home directory.
  
 +=== Installing large python modules and disk space ===
 +
 +The installation of large Python modules like "​tensorflow"​ may fail with a message "No space left on device"​. This is caused by the temporary space under "/​tmp"​ being too small for pip to work the downloaded packages. The following steps use a temporary directory in the much larger user home directory for this one installation:​
 +
 +<code bash>
 +mkdir -v ~/​.user-temp
 +TEMP=~/​.user-temp pip install --user <​module>​
 +</​code>​
 +
 +Prefixing the installation with the TEMP variable makes pip use that location for this one installation.
 ==== Installing additional R packages==== ==== Installing additional R packages====
 <​code>​ <​code>​