the data in the message This example uses the IPython kernel; it’s up to each language kernel what API, if any, it offers for using comms. Opening a comm from the frontend This is very similar to above protection Jupyter notebook 4.3.1 introduces protection from cross-site request forgeries, requiring API requests to either: • originate from pages served by this server (validated with XSRF cookie and token) Chapter 4. Config file and command line options Jupyter Notebook Documentation, Release 4.4.1 The Api of KernelSpecManager is provisional and might change without warning between this version of Jupyter

notebook’s default indentation Persisting configuration settings Extending the Notebook Contents API File save hooks Custom request handlers Custom front-end extensions Developer Documentation Installing the data in the message This example uses the IPython kernel; it’s up to each language kernel what API, if any, it offers for using comms. Opening a comm from the frontend This is very similar to above protection Jupyter notebook 4.3.1 introduces protection from cross-site request forgeries, requiring API requests to either: originate from pages served by this server (validated with XSRF cookie and token)

Example - Server extension and nbextension Example - Bundler extension Extending the Notebook Contents API File save hooks Custom request handlers Custom front-end extensions Customize keymaps Custom bundler the data in the message This example uses the IPython kernel; it’s up to each language kernel what API, if any, it offers for using comms. Opening a comm from the frontend This is very similar to above protection Jupyter notebook 4.3.1 introduces protection from cross-site request forgeries, requiring API requests to either: originate from pages served by this server (validated with XSRF cookie and token)

Example - Server extension and nbextension Example - Bundler extension Extending the Notebook Contents API File save hooks Custom request handlers Custom front-end extensions Customize keymaps Custom bundler the data in the message This example uses the IPython kernel; it’s up to each language kernel what API, if any, it offers for using comms. Opening a comm from the frontend This is very similar to above protection Jupyter notebook 4.3.1 introduces protection from cross-site request forgeries, requiring API requests to either: originate from pages served by this server (validated with XSRF cookie and token)

the data in the message This example uses the IPython kernel; it’s up to each language kernel what API, if any, it offers for using comms. 3.2 Opening a comm from the frontend This is very similar to protection Jupyter notebook 4.3.1 introduces protection from cross-site request forgeries, requiring API requests to either: • originate from pages served by this server (validated with XSRF cookie and token) spec manager class to use. Should be a subclass of jupyter_client.kernelspec.KernelSpecManager. The Api of KernelSpecManager is provisional and might change without warning between this version of Jupyter

the data in the message This example uses the IPython kernel; it’s up to each language kernel what API, if any, it offers for using comms. 3.2 Opening a comm from the frontend This is very similar to protection Jupyter notebook 4.3.1 introduces protection from cross-site request forgeries, requiring API requests to either: • originate from pages served by this server (validated with XSRF cookie and token) spec manager class to use. Should be a subclass of jupyter_client.kernelspec.KernelSpecManager. The Api of KernelSpecManager is provisional and might change without warning between this version of Jupyter

the data in the message This example uses the IPython kernel; it’s up to each language kernel what API, if any, it offers for using comms. 3.2 Opening a comm from the frontend This is very similar to protection Jupyter notebook 4.3.1 introduces protection from cross-site request forgeries, requiring API requests to either: • originate from pages served by this server (validated with XSRF cookie and token) spec manager class to use. Should be a subclass of jupyter_client.kernelspec.KernelSpecManager. The Api of KernelSpecManager is provisional and might change without warning between this version of Jupyter

command and edit mode are fully customizable. These customizations are made using the Jupyter JavaScript API. Here is an example that makes the r key available for running a cell: In [ ]: %%javascript Jupyter action no longer be available via the keypress r.” There are a couple of points to mention about this API: • The help_index field is used to sort the shortcuts in the Keyboard Shortcuts help dialog. It defaults remove_shortcut('r'); If you want your keyboard shortcuts to be active for all of your notebooks, put the above API calls into your custom. js file. Of course we provide name for majority of existing action so that

Example - Server extension and nbextension Example - Bundler extension Extending the Notebook Contents API File save hooks Custom request handlers Custom front-end extensions Customize keymaps Custom bundler the data in the message This example uses the IPython kernel; it’s up to each language kernel what API, if any, it offers for using comms. Opening a comm from the frontend This is very similar to above protection Jupyter notebook 4.3.1 introduces protection from cross-site request forgeries, requiring API requests to either: originate from pages served by this server (validated with XSRF cookie and token)

the data in the message This example uses the IPython kernel; it’s up to each language kernel what API, if any, it offers for using comms. 3.2 Opening a comm from the frontend This is very similar to replace the token login mechanism. This can be set to false to prevent changing password from the UI/API. NotebookApp.allow_root [Bool] Default: False Whether to allow the user to run the notebook as root protection Jupyter notebook 4.3.1 introduces protection from cross-site request forgeries, requiring API requests to either: • originate from pages served by this server (validated with XSRF cookie and token)