Using a Python environment in Jupyter - Revision history

Chelsea at 14:03, 29 May 2025

2025-05-29T14:03:31Z

← Older revision		Revision as of 10:03, 29 May 2025
Line 20:		Line 20:

	=== Open Jupyter in Open OnDemand ===		=== Open Jupyter in Open OnDemand ===
	Click on the Jupyter app in [https://ondemand.gacrc.uga.edu/ Open OnDemand] and click launch at the bottom of the page to start a Jupyter Notebook session. <br>		Click on the Jupyter app in [https://ondemand.gacrc.uga.edu/ Open OnDemand] and click launch at the bottom of the page to start a Jupyter Notebook session.

			Note: please request a version of Jupyter Notebook with the same Python version and GCCcore toolchain version as the one you use to create your Python Virtual Environment<br>

	[[File:Screenshot 2023-12-13 at 10.25.00 AM.png\|alt=\|border\|700x700px]]		[[File:Screenshot 2023-12-13 at 10.25.00 AM.png\|alt=\|border\|700x700px]]

	~~Once the job starts, click on Connect to Jupyter. This will open Jupyter in a new page in your browser. <br>~~


			Once the job starts, click on Connect to Jupyter. This will open Jupyter in a new page in your browser.

	'''For Jupyter versions < 7.0.0 please see below''' (for versions > 7.0.0, scroll down).		'''For Jupyter versions < 7.0.0 please see below''' (for versions > 7.0.0, scroll down).

Chelsea: /* Open Jupyter in Open OnDemand */

2025-03-12T20:21:14Z

Open Jupyter in Open OnDemand

← Older revision		Revision as of 16:21, 12 March 2025
Line 25:		Line 25:

	Once the job starts, click on Connect to Jupyter. This will open Jupyter in a new page in your browser. <br>		Once the job starts, click on Connect to Jupyter. This will open Jupyter in a new page in your browser. <br>



	'''For Jupyter versions < 7.0.0 please see below''' (for versions > 7.0.0, scroll down).		'''For Jupyter versions < 7.0.0 please see below''' (for versions > 7.0.0, scroll down).

Chelsea at 20:20, 12 March 2025

2025-03-12T20:20:53Z

← Older revision		Revision as of 16:20, 12 March 2025
Line 26:		Line 26:
	Once the job starts, click on Connect to Jupyter. This will open Jupyter in a new page in your browser. <br>		Once the job starts, click on Connect to Jupyter. This will open Jupyter in a new page in your browser. <br>

	For Jupyter versions < 7.0.0 please see below (for versions > 7.0.0, scroll down).		'''For Jupyter versions < 7.0.0 please see below''' (for versions > 7.0.0, scroll down).

	From here, click "new" and you should see the name of the ipykernel you created. Clicking on that will start a Jupyter notebook with a kernel that has access to all of the packages in your Python environment.		From here, click "new" and you should see the name of the ipykernel you created. Clicking on that will start a Jupyter notebook with a kernel that has access to all of the packages in your Python environment.
Line 33:		Line 33:


	For Jupyter versions > 7.0.0 please see below.
			'''For Jupyter versions > 7.0.0 please see below.'''

	From here, click File > new > notebook. A new Jupyter notebook will open and a window will appear titled "Select Kernel". Click the drop down menu and under "Start Other Kernel" you should see the name of your python environment. Clicking on that will start your Jupyter notebook with a kernel that has access to all of the packages in your Python environment.		From here, click File > new > notebook. A new Jupyter notebook will open and a window will appear titled "Select Kernel". Click the drop down menu and under "Start Other Kernel" you should see the name of your python environment. Clicking on that will start your Jupyter notebook with a kernel that has access to all of the packages in your Python environment.

Chelsea: /* Using a Conda environment in Jupyter */

2025-03-12T20:09:35Z

Using a Conda environment in Jupyter

← Older revision		Revision as of 16:09, 12 March 2025
Line 5:		Line 5:
	Open OnDemand is a web-based service that allows users to run software with a graphical user interface (GUI) such as Jupyter Notebook. Please see our wiki page on Open OnDemand [[OnDemand\|'''here''']] to learn more.		Open OnDemand is a web-based service that allows users to run software with a graphical user interface (GUI) such as Jupyter Notebook. Please see our wiki page on Open OnDemand [[OnDemand\|'''here''']] to learn more.

	== Using a ~~Conda~~ environment in Jupyter ==		== Using a Python environment in Jupyter ==
	These steps will allow you to access the software you install into a ~~Conda~~ environment within Jupyter Notebook running on Open OnDemand		These steps will allow you to access the software you install into a Python environment within Jupyter Notebook running on Open OnDemand

	=== Create the ~~Conda~~ environment ===		=== Create the Python environment ===
	Create your ~~Conda~~ environment and install any packages you will want to use.		Create your Python environment and install any packages you will want to use.
	=== Install ipykernel ===		=== Install ipykernel ===
	While your ~~Conda~~ environment is still activated, install ipykernel to your ~~Conda~~ environment with:		While your Python environment is still activated, install ipykernel to your Python environment with:

	<pre class="gcommand">		<pre class="gcommand">
	~~conda~~ install ipykernel		pip install ipykernel
	python -m ipykernel install --user --name=my_env		python -m ipykernel install --user --name=my_env
	</pre>		</pre>
	Note: change my_env to whatever the name of your ~~Conda~~ environment is. This is the name that you will see in Jupyter Notebook as an available kernel.		Note: change my_env to whatever the name of your Python environment is. This is the name that you will see in Jupyter Notebook as an available kernel.

	=== Open Jupyter in Open OnDemand ===		=== Open Jupyter in Open OnDemand ===
Line 26:		Line 26:
	Once the job starts, click on Connect to Jupyter. This will open Jupyter in a new page in your browser. <br>		Once the job starts, click on Connect to Jupyter. This will open Jupyter in a new page in your browser. <br>

	~~From here, click "new" and you should~~ see ~~the name of the ipykernel you created~~. ~~Clicking on that will start a Jupyter notebook with a kernel that has access to all of the packages in your Conda environment~~.		For Jupyter versions < 7.0.0 please see below (for versions > 7.0.0, scroll down).

	[[File:~~Load_condakernel~~.png\|alt=\|border\|1111x1111px]]		From here, click "new" and you should see the name of the ipykernel you created. Clicking on that will start a Jupyter notebook with a kernel that has access to all of the packages in your Python environment.

			[[File:Load_pythonkernel.png\|alt=\|border\|1111x1111px]]


			For Jupyter versions > 7.0.0 please see below.

			From here, click File > new > notebook. A new Jupyter notebook will open and a window will appear titled "Select Kernel". Click the drop down menu and under "Start Other Kernel" you should see the name of your python environment. Clicking on that will start your Jupyter notebook with a kernel that has access to all of the packages in your Python environment.

			[[File:New-jupyter-interface.png\|alt=\|border\|1111x1111px]]

			[[File:Load_new_pythonkernel.png\|alt=\|border\|1111x1111px]]

Chelsea: Created page with "== Python environment == A Python environment is a type of virtual environment. Python environments are used to contain a set of software/packages that you install (via pip) into that environment that may be accessed any time you activate the environment. To learn more about Python environments, please see our wiki page on creating Python environments '''here.''' == Open OnDemand == Open OnDemand is a..."

2025-03-12T19:51:04Z

Created page with "== Python environment == A Python environment is a type of virtual environment. Python environments are used to contain a set of software/packages that you install (via pip) into that environment that may be accessed any time you activate the environment. To learn more about Python environments, please see our wiki page on creating Python environments '''here.''' == Open OnDemand == Open OnDemand is a..."

New page

== Python environment ==
A Python environment is a type of virtual environment. Python environments are used to contain a set of software/packages that you install (via pip) into that environment that may be accessed any time you activate the environment. To learn more about Python environments, please see our wiki page on creating Python environments '''[[Installing Applications on Sapelo2#How_to_install_Python_packages|here]].'''

== Open OnDemand ==
Open OnDemand is a web-based service that allows users to run software with a graphical user interface (GUI) such as Jupyter Notebook. Please see our wiki page on Open OnDemand [[OnDemand|'''here''']] to learn more.

== Using a Conda environment in Jupyter ==
These steps will allow you to access the software you install into a Conda environment within Jupyter Notebook running on Open OnDemand

=== Create the Conda environment ===
Create your Conda environment and install any packages you will want to use.
=== Install ipykernel ===
While your Conda environment is still activated, install ipykernel to your Conda environment with:

<pre class="gcommand">
conda install ipykernel
python -m ipykernel install --user --name=my_env
</pre>
Note: change my_env to whatever the name of your Conda environment is. This is the name that you will see in Jupyter Notebook as an available kernel.

=== Open Jupyter in Open OnDemand ===
Click on the Jupyter app in [https://ondemand.gacrc.uga.edu/ Open OnDemand] and click launch at the bottom of the page to start a Jupyter Notebook session. <br>

[[File:Screenshot 2023-12-13 at 10.25.00 AM.png|alt=|border|700x700px]]

Once the job starts, click on Connect to Jupyter. This will open Jupyter in a new page in your browser. <br>

From here, click "new" and you should see the name of the ipykernel you created. Clicking on that will start a Jupyter notebook with a kernel that has access to all of the packages in your Conda environment.

[[File:Load_condakernel.png|alt=|border|1111x1111px]]