Jupyter Notebooks: Difference between revisions

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Jacobg2 (talk | contribs)
Administrators, administrator, Bureaucrats, Interface administrators, students, Administrators, Users
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[[Category:IDEs]]
[[Category:Remote Server Access]]
[[Category:Department Servers]]
Running Jupyter Notebooks is now possible with Open OnDemand. To run a Notebook, follow the steps below.
Running Jupyter Notebooks is now possible with Open OnDemand. To run a Notebook, follow the steps below.


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* https://ood.stat.cmu.edu/
* https://ood.stat.cmu.edu/


2 - Click the '''Interactive Apps''' drop down menu and then select '''Jupyter Notebooks.'''
2 - Click the '''Interactive Apps''' drop down menu and then select '''Jupyter Notebook.'''
[[File:OOD Jupyter Menu Bar.png|left|frameless|719x719px]]
[[File:OOD Jupyter Menu Bar.png|left|frameless|719x719px]]


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3 - You will be taken to a new page where you will see options to launch a Jupyter Notebook. Fill out the form and then click the '''Launch''' button.
3 - You will be taken to a new page where you can select options for the Notebook. Fill out the form as desired and then click the '''Launch''' button. Use [https://util.stat.cmu.edu/grafana/d/asjkldfbnvajdsfh213/leviathan-cluster?orgId=1&from=now-6h&to=now&timezone=browser Grafana] to help determine what server to use. Select one with low resource usage.


'''Hours''' - The number of hours your Notebook will run.
'''Hours''' - The number of hours your Notebook will run.


'''Server''' - The server to run your Notebook on.
'''Server''' - The server to run your Notebook on.
 
'''Jupyter Notebook Path''' - The path the Notebook environment lives on. You can use the default path which has many statistics related Python packages preinstalled, or you can define your own Notebook environment. See below for details on how to set your own environment up.


'''Jupyter Notebook Path''' - The path the Notebook environment lives on. You can use the default path, which has many statistical related Python packages preinstalled, or you can define your own Notebook Environment. See Below for details on how to set your own environment up.
[[File:Jupyter Notebook Page.png|frameless|403x403px]]


[[File:Jupyter Notebook Page.png|frameless]]




4 - You will be taken to another new page where the Jupyter Notebook session will load. Once it's ready, click the Connect to Jupyter at the bottom. You will then be taken to a new tab with your Notebook session.
4 - You will be taken to another new page where the Jupyter Notebook will load. Once it's ready, click '''Connect to Jupyter''' at the bottom. You will then be taken to a new tab with your Notebook session.


[[File:NotebookSession.png|frameless|427x427px]]
[[File:NotebookSession.png|frameless|526x526px]]


=== Custom Jupyter Notebook Environment ===
=== Custom Jupyter Notebook Environment ===
To build a custom Notebook environment, you can use a Python package manage such as Momba, but you can also use Python's built in virtual environments. This example will cover such.
To build a custom Notebook environment, you can use a Python package manager such as Momba or Python's built in virtual environments. This example will cover Python virtual environments.


# Declare the virtual Python environment.
# Declare the virtual Python environment.
#* ''python3 -m venv /path/to/your/jupyter_env''
#* ''python3 -m venv /path/to/your/jupyter_env''
# Activate the virtual environment.
# Activate the virtual environment.
#* ''source /srv/jupyter_env/bin/activate''
#*''source /path/to/your/jupyter_env/bin/activate''
# Install the Jupyter Notebook application to the new Python virtual environment.
# Install the Jupyter Notebook application to the new Python virtual environment.
#* ''pip install notebook''
#* ''pip install notebook''


To use your own Jupyter Environment, replace the default path above in step 3 for Jupyter Notebook Path.
To use your own Jupyter Environment, replace the default path above in step 3 for Jupyter Notebook Path.

Latest revision as of 19:10, 11 August 2026


Running Jupyter Notebooks is now possible with Open OnDemand. To run a Notebook, follow the steps below.

1 - Log in to Open OnDemand.

2 - Click the Interactive Apps drop down menu and then select Jupyter Notebook.







3 - You will be taken to a new page where you can select options for the Notebook. Fill out the form as desired and then click the Launch button. Use Grafana to help determine what server to use. Select one with low resource usage.

Hours - The number of hours your Notebook will run.

Server - The server to run your Notebook on.

Jupyter Notebook Path - The path the Notebook environment lives on. You can use the default path which has many statistics related Python packages preinstalled, or you can define your own Notebook environment. See below for details on how to set your own environment up.


4 - You will be taken to another new page where the Jupyter Notebook will load. Once it's ready, click Connect to Jupyter at the bottom. You will then be taken to a new tab with your Notebook session.

Custom Jupyter Notebook Environment

To build a custom Notebook environment, you can use a Python package manager such as Momba or Python's built in virtual environments. This example will cover Python virtual environments.

  1. Declare the virtual Python environment.
    • python3 -m venv /path/to/your/jupyter_env
  2. Activate the virtual environment.
    • source /path/to/your/jupyter_env/bin/activate
  3. Install the Jupyter Notebook application to the new Python virtual environment.
    • pip install notebook

To use your own Jupyter Environment, replace the default path above in step 3 for Jupyter Notebook Path.

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