button in its place. Other clients may connect to the same underlying IPython kernel. The notebook server always prints to the terminal the full details of how to connect to each kernel, with messages such which is sufficient for getting the information necessary to connect to the kernel. You can also request this connection data by running the %connect_info magic [http://ipython.org/ipython- doc/dev/interactive/tutorial passing a portion of the ID: $ ipython qtconsole --existing 87f7d2c0 Without an ID, --existing will connect to the most recently started kernel. This can also be done by running the %qtconsole magic [http://ipython

You can also use Jupyter remotely: your company or university 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 whereas notebooks without an active kernel have a Delete button in its place. Other clients may connect to the same kernel. When each kernel is started, the notebook server prints to the terminal a message getting the information necessary 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

You can also use Jupyter remotely: your company or university 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 whereas notebooks without an active kernel have a Delete button in its place. Other clients may connect to the same kernel. When each kernel is started, the notebook server prints to the terminal a message getting the information necessary 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

You can also use Jupyter remotely: your company or university 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 whereas notebooks without an active kernel have a Delete button in its place. Other clients may connect to the same kernel. When each kernel is started, the notebook server prints to the terminal a message getting the information necessary 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

You can also use Jupyter remotely: your company or university 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 whereas notebooks without an active kernel have a Delete button in its place. Other clients may connect to the same kernel. When each kernel is started, the notebook server prints to the terminal a message getting the information necessary 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

You can also use Jupyter remotely: your company or university 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 whereas notebooks without an active kernel have a Delete button in its place. Other clients may connect to the same kernel. When each kernel is started, the notebook server prints to the terminal a message getting the information necessary 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

You can also use Jupyter remotely: your company or university 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 whereas notebooks without an active kernel have a Delete button in its place. Other clients may connect to the same kernel. When each kernel is started, the notebook server prints to the terminal a message getting the information necessary 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

You can also use Jupyter remotely: your company or university 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 whereas notebooks without an active kernel have a Delete button in its place. Other clients may connect to the same kernel. When each kernel is started, the notebook server prints to the terminal a message getting the information necessary 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

You can also use Jupyter remotely: your company or university 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 whereas notebooks without an active kernel have a Delete button in its place. Other clients may connect to the same kernel. When each kernel is started, the notebook server prints to the terminal a message getting the information necessary 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

You can also use Jupyter remotely: your company or university 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 whereas notebooks without an active kernel have a Delete button in its place. Other clients may connect to the same kernel. When each kernel is started, the notebook server prints to the terminal a message getting the information necessary 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