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In this page:

Table of Contents

Jupyter Notebook for Python, R, and Julia

The IDAS interface

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In this page:

Table of Contents


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Jupyter Notebook for Python, R, and Julia

The IDAS interface

  • After creating an IDAS instance for research or class use, you will see your IDAS home page. If this is your first time accessing IDAS, your home page will be empty.
  • You can create Jupyter notebooks, files, and folders in IDAS. (See details below.) Click any file or folder to open that file or folder. 
  • In order to navigate back to your IDAS home page, click the Jupyter symbol on the top left corner: .

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Info

https://notebooks.hpc.uiowa.edu/research-interactive/user/<your_hawkid>/tree


Downloading Data from IDAS to Your Computer

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  • In RStudio, check the box in front of the "backup.zip" file and click "More", then "Export":

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6. Then you can use a free software such as 7-zip to extract the files in "backup.zip" to a location on your computer.

IDAS Home Drives

On IDAS, each research user gets 100GB for storage in their home drive. To check how much you have used:

  • Go to the Jupyter Hub tree page (please fill in your HawkID): 

    • https://notebooks.hpc.uiowa.edu/research-interactive/user/<your_hawkid>/tree

  • In the top right corner of your IDAS tree page, click New >> Terminal
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  • In Terminal, type df -h $HOME. In the example below, 26GB out of 100GB has been used and 75GB is available:          
Code Block
languagebash
hawkid@jupyter-notebook-research-hawkid:~$ df -h $HOME
Filesystem      Size  Used Avail Use% Mounted on
/dev/rbd64      100G   26G   75G  26% /home/hawkid

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  • :

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6. Then you can use a free software such as 7-zip to extract the files in "backup.zip" to a location on your computer.

IDAS Home Drives


On IDAS, each research user gets 100GB for storage in their home drive. To check how much you have used:

  • Go to the Jupyter Hub tree page (please fill in your HawkID): 

    • https://notebooks.hpc.uiowa.edu/research-interactive/user/<your_hawkid>/tree

  • In the top right corner of your IDAS tree page, click New >> Terminal
    Image Added

  • In Terminal, type df -h $HOME. In the example below, 26GB out of 100GB has been used and 75GB is available:          
Code Block
languagebash
hawkid@jupyter-notebook-research-hawkid:~$ df -h $HOME
Filesystem      Size  Used Avail Use% Mounted on
/dev/rbd64      100G   26G   75G  26% /home/hawkid


If your home drive is full, you can go to the Jupyter Hub tree page and remove any files you don't need. You can also use Terminal to list and remove any files. 

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  • Use Terminal to list and remove files:
Code Block
languagebash
# list all files including hidden files
ls -al

# get the top largest 10 files and directories in your IDAS home drive:
du -shx $HOME/.[^.]* * | sort -rh | head

# delete files you no longer need
rm file1.txt file2.txt

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