notebook documents 33 8 Configuring the notebook frontend 37 9 Extending the Notebook 39 10 Installing Javascript machinery 49 11 Developer FAQ 51 12 Distributing Jupyter Extensions as Python Packages provide this functionality. Specific plotting library integration is a feature of the kernel. Installing kernels For information on how to install a Python kernel, refer to the IPython install page. use a verb that indicates what the dialog will accomplish, such as “confirm-restart-kernel”. Installing and enabling extensions You can install your nbextension with the command: jupyter nbextension

API File save hooks Custom request handlers Custom front-end extensions Developer Documentation Installing Javascript machinery Developer FAQ Community documentation Distributing Jupyter Extensions as provide this functionality. Specific plotting library integration is a feature of the kernel. Installing kernels For information on how to install a Python kernel, refer to the IPython install page structure of a front-end extension Modifying key bindings Defining and registering your own actions Installing and enabling extensions Contents API The Jupyter Notebook web application provides a graphical

provide this functionality. Specific plotting library integration is a feature of the kernel. Installing kernels For information on how to install a Python kernel, refer to the IPython install page Related: Configuring a language kernel [https://jupyter.readthedocs.io/en/latest/install.html#installing-kernels] to run in the Notebook server enables your server to run other languages, like R or Julia can be packaged and versioned together as a Python package with a few simple commands. This makes installing the package of extensions easier and less error-prone for the user. Installation of Jupyter Extensions

provide this functionality. Specific plotting library integration is a feature of the kernel. Installing kernels For information on how to install a Python kernel, refer to the IPython install page Related: Configuring a language kernel [https://jupyter.readthedocs.io/en/latest/install.html#installing-kernels] to run in the Notebook server enables your server to run other languages, like R or Julia can be packaged and versioned together as a Python package with a few simple commands. This makes installing the package of extensions easier and less error-prone for the user. Installation of Jupyter Extensions

provide this functionality. Specific plotting library integration is a feature of the kernel. Installing kernels For information on how to install a Python kernel, refer to the IPython install page involved in this release. 5.3.1 Replaced a symlink in the repository with a copy, to fix issues installing on Windows (PR #3220 [https://github.com/jupyter/notebook/pull/3220/]). 5.3.0 This release introduces destination when installing nbextensions See also 4.2.1 on GitHub [https://github.com/jupyter/notebook/milestones/4.2.1]. 4.2.0 Release 4.2 adds a new API for enabling and installing extensions. Extensions

provide this functionality. Specific plotting library integration is a feature of the kernel. Installing kernels For information on how to install a Python kernel, refer to the IPython install page involved in this release. 5.3.1 Replaced a symlink in the repository with a copy, to fix issues installing on Windows (PR #3220 [https://github.com/jupyter/notebook/pull/3220/]). 5.3.0 This release introduces destination when installing nbextensions See also 4.2.1 on GitHub [https://github.com/jupyter/notebook/milestones/4.2.1]. 4.2.0 Release 4.2 adds a new API for enabling and installing extensions. Extensions

provide this functionality. Specific plotting library integration is a feature of the kernel. 1.7 Installing kernels For information on how to install a Python kernel, refer to the IPython install page. involved in this release. 5.4 5.3.1 Replaced a symlink in the repository with a copy, to fix issues installing on Windows (PR #3220). 5.5 5.3.0 This release introduces a couple noteable improvements, such Windows • Fix specifying destination when installing nbextensions See also: 4.2.1 on GitHub. 5.17 4.2.0 Release 4.2 adds a new API for enabling and installing extensions. Extensions can now be enabled

provide this functionality. Specific plotting library integration is a feature of the kernel. Installing kernels For information on how to install a Python kernel, refer to the IPython install page involved in this release. 5.3.1 Replaced a symlink in the repository with a copy, to fix issues installing on Windows (PR #3220 [https://github.com/jupyter/notebook/pull/3220/]). 5.3.0 This release introduces destination when installing nbextensions See also 4.2.1 on GitHub [https://github.com/jupyter/notebook/milestones/4.2.1]. 4.2.0 Release 4.2 adds a new API for enabling and installing extensions. Extensions

provide this functionality. Specific plotting library integration is a feature of the kernel. Installing kernels For information on how to install a Python kernel, refer to the IPython install page involved in this release. 5.3.1 Replaced a symlink in the repository with a copy, to fix issues installing on Windows (PR #3220 [https://github.com/jupyter/notebook/pull/3220/]). 5.3.0 This release introduces destination when installing nbextensions See also 4.2.1 on GitHub [https://github.com/jupyter/notebook/milestones/4.2.1]. 4.2.0 Release 4.2 adds a new API for enabling and installing extensions. Extensions

provide this functionality. Specific plotting library integration is a feature of the kernel. Installing kernels For information on how to install a Python kernel, refer to the IPython install page involved in this release. 5.3.1 Replaced a symlink in the repository with a copy, to fix issues installing on Windows (PR #3220 [https://github.com/jupyter/notebook/pull/3220/]). 5.3.0 This release introduces destination when installing nbextensions See also 4.2.1 on GitHub [https://github.com/jupyter/notebook/milestones/4.2.1]. 4.2.0 Release 4.2 adds a new API for enabling and installing extensions. Extensions