to connect to the kernel. If the notebook uses the IPython kernel, you can also see this connection data by running the %connect_info magic, which will print the same ID information along with other details are also possible, including matplotlib figures and HTML tables (as used, for example, in the pandas data analysis package). This is known as IPython’s rich display capability. See also: Rich Output example unique ID. When one side sends a message, a callback on the other side is triggered with that message data. Either side, the frontend or kernel, can open or close the comm. See also: Custom Messages The

use Jupyter in a web browser, some people are understandably concerned about using it with sensitive data. However, if you followed the standard install instructions, Jupyter is actually running on your own http://localhost: or http://127.0.0.1:, it’s your computer acting as the server. Jupyter doesn’t send your data anywhere else—and as it’s open source, other people can check that we’re being honest about this. might run the server for you, for instance. If you want to work with sensitive data in those cases, talk to your IT or data protection staff about it. We aim to ensure that other pages in your browser

to connect to the kernel. If the notebook uses the IPython kernel, you can also see this connection data by running the %connect_info magic [https://ipython.readthedocs.io/en/stable/interactive/tutorial are also possible, including matplotlib figures and HTML tables (as used, for example, in the pandas data analysis package). This is known as IPython’s rich display capability. See also Rich Output [https://nbviewer unique ID. When one side sends a message, a callback on the other side is triggered with that message data. Either side, the frontend or kernel, can open or close the comm. See also Custom Messages [http://jupyter-client

to connect to the kernel. If the notebook uses the IPython kernel, you can also see this connection data by running the %connect_info magic, which will print the same ID information along with other details are also possible, including matplotlib figures and HTML tables (as used, for example, in the pandas data analysis package). This is known as IPython’s rich display capability. See also: Rich Output example unique ID. When one side sends a message, a callback on the other side is triggered with that message data. Either side, the frontend or kernel, can open or close the comm. See also: Custom Messages The

to connect to the kernel. If the notebook uses the IPython kernel, you can also see this connection data by running the %connect_info magic, which will print the same ID information along with other details are also possible, including matplotlib figures and HTML tables (as used, for example, in the pandas data analysis package). This is known as IPython’s rich display capability. See also: Rich Output example unique ID. When one side sends a message, a callback on the other side is triggered with that message data. Either side, the frontend or kernel, can open or close the comm. See also: Custom Messages The

to connect to the kernel. If the notebook uses the IPython kernel, you can also see this connection data by running the %connect_info magic, which will print the same ID information along with other details are also possible, including matplotlib figures and HTML tables (as used, for example, in the pandas data analysis package). This is known as IPython’s rich display capability. See also: Rich Output example unique ID. When one side sends a message, a callback on the other side is triggered with that message data. Either side, the frontend or kernel, can open or close the comm. See also: Custom Messages The

use Jupyter in a web browser, some people are understandably concerned about using it with sensitive data. However, if you followed the standard install instructions, Jupyter is actually running on your own http://localhost: or http://127.0.0.1:, it’s your computer acting as the server. Jupyter doesn’t send your data anywhere else—and as it’s open source, other people can check that we’re being honest about this. might run the server for you, for instance. If you want to work with sensitive data in those cases, talk to your IT or data protection staff about it. We aim to ensure that other pages in your browser

use Jupyter in a web browser, some people are understandably concerned about using it with sensitive data. However, if you followed the standard install instructions, Jupyter is actually running on your own http://localhost: or http://127.0.0.1:, it’s your computer acting as the server. Jupyter doesn’t send your data anywhere else—and as it’s open source, other people can check that we’re being honest about this. might run the server for you, for instance. If you want to work with sensitive data in those cases, talk to your IT or data protection staff about it. We aim to ensure that other pages in your browser

use Jupyter in a web browser, some people are understandably concerned about using it with sensitive data. However, if you followed the standard install instructions, Jupyter is actually running on your own http://localhost: or http://127.0.0.1:, it’s your computer acting as the server. Jupyter doesn’t send your data anywhere else—and as it’s open source, other people can check that we’re being honest about this. might run the server for you, for instance. If you want to work with sensitive data in those cases, talk to your IT or data protection staff about it. We aim to ensure that other pages in your browser

use Jupyter in a web browser, some people are understandably concerned about using it with sensitive data. However, if you followed the standard install instructions, Jupyter is actually running on your own http://localhost: or http://127.0.0.1:, it’s your computer acting as the server. Jupyter doesn’t send your data anywhere else—and as it’s open source, other people can check that we’re being honest about this. might run the server for you, for instance. If you want to work with sensitive data in those cases, talk to your IT or data protection staff about it. We aim to ensure that other pages in your browser