Using a Conda environment in Jupyter - Revision history

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

2025-08-13T13:40:48Z

Using a Conda environment in Jupyter

← Older revision		Revision as of 09:40, 13 August 2025
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	=== 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 choose your desired resources. Please ensure that you choose the Miniforge3 version of Jupyter.

			Click launch at the bottom of the page to start a Jupyter Notebook session. You will be redirected to "My Interactive Sessions" where you can wait for the job to be allocated resources.<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 at 20:23, 12 March 2025

2025-03-12T20:23:00Z

← Older revision		Revision as of 16:23, 12 March 2025
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	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 Conda environment. Clicking on that will start your Jupyter notebook with a kernel that has access to all of the packages in your Conda 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 Conda environment. Clicking on that will start your Jupyter notebook with a kernel that has access to all of the packages in your Conda environment.

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

Chelsea: /* Open Jupyter in Open OnDemand */

2025-03-12T20:22:17Z

Open Jupyter in Open OnDemand

← Older revision		Revision as of 16:22, 12 March 2025
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	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).

	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.		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]]		[[File:Load_condakernel.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 Conda environment. Clicking on that will start your Jupyter notebook with a kernel that has access to all of the packages in your Conda environment.

Shtsai: Increased the size of a figure.

2024-01-22T14:43:38Z

Increased the size of a figure.

← Older revision		Revision as of 10:43, 22 January 2024
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	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.		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\|~~700x700px~~]]		[[File:Load_condakernel.png\|alt=\|border\|1111x1111px]]

Chelsea at 14:57, 19 December 2023

2023-12-19T14:57:58Z

← Older revision		Revision as of 10:57, 19 December 2023
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	=== Create the Conda environment ===		=== Create the Conda environment ===
	Create your Conda environment and install any packages you will want to use. ~~[[VSCODE]]~~		Create your Conda 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 Conda environment is still activated, install ipykernel to your Conda environment with:

Chelsea at 14:57, 19 December 2023

2023-12-19T14:57:44Z

← Older revision		Revision as of 10:57, 19 December 2023
Line 10:		Line 10:

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

Chelsea: /* Open Jupyter in Open OnDemand */

2023-12-18T18:08:25Z

Open Jupyter in Open OnDemand

← Older revision		Revision as of 14:08, 18 December 2023
Line 28:		Line 28:

	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.		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\|700x700px]]

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

2023-12-18T16:27:50Z

Using a Conda environment in Jupyter

← Older revision		Revision as of 12:27, 18 December 2023
Line 23:		Line 23:
	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. <br>

	[[File:~~launch_jupyter~~.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. <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.		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.

Chelsea at 16:26, 18 December 2023

2023-12-18T16:26:31Z

← Older revision		Revision as of 12:26, 18 December 2023
Line 22:		Line 22:
	=== 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. <br>

			[[File:launch_jupyter.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. <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.		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.

Chelsea at 21:55, 15 December 2023

2023-12-15T21:55:37Z

← Older revision		Revision as of 17:55, 15 December 2023
Line 1:		Line 1:

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