Jupyter notebook support
With Jupyter Notebook integration available in PyCharm , you can easily edit, execute, and debug notebook source code and examine execution outputs including stream data, images, and other media.
Notebook support in PyCharm includes:
Coding assistance:
Error and syntax highlighting.
Ability to create line comments Ctrl+/.
Ability to run cells and preview execution results.
Dedicated Jupyter Notebook Debugger.
Shortcuts for basic operations with Jupyter notebooks.
Ability to recognize .ipynb files and mark them with the
icon.
Quick start with the Jupyter notebook in PyCharm
To start working with Jupyter notebooks in PyCharm:
Create a new Python project, specify a virtual environment, and install the jupyter package.
Open or create an .ipynb file.
Add and edit source cells.
Execute any of the code cells to launch the Jupyter server.
Get familiar with the user interface
Mind the following user interface features when working with Jupyter notebooks in PyCharm.
Notebook editor
A Jupyter notebook opened in the editor has its specific UI elements:
Jupyter notebook toolbar: provides quick access to the most popular actions. The rest of the notebook-specific actions are available in the menu.
Code cell: a notebook cell that contains an executable code
Cell output: results of the code cell execution; can be presented by a text output, table, or plot.
Notebook toolbar
The Jupyter notebook toolbar provides quick access to all basic operations with notebooks:
Toolbar element | Description |
|---|---|
| Adds a code cell below the selected cell. |
| Moves the selected item or items from the current location to the clipboard. Moves the entire cell if it's selected. |
| Copies the selected item or items to the clipboard. Copies the entire cell if it's selected. |
| Inserts the contents of the clipboard into the selected location. If you've selected an entire cell, the contents are pasted to a new cell below the selected one. |
| Moves the current cell up. |
| Moves the current cell down. |
| Executes this cell and selects a cell below. If there is no a cell below, PyCharm will create it. |
| Starts debugging for this cell. |
| Click this icon if you want to interrupt any cell execution. |
| Click this icon to restart the currently running kernel. |
| Executes all cells in the notebook. |
| You can select a cell type from this list and change the type for the selected cell. |
| Deletes the current cell. |
| The Jupyter Server widget that shows the currently used Jupyter server. Click the widget and select to setup another local or remote Jupyter server. |
| List of the available Jupyter kernels. |
| Select this checkbox to allow executing JavaScript in your Jupyter notebook. |
| This actions selects the cell above. |
| This actions selects the cell blow. |
| You can preview the notebook in a browser. |
Tool windows
The Server Log tab of the Jupyter tool window appears when you have any of the Jupyter server launched. The Server log tab of this window shows the current state of the Jupyter server and the link to the notebook in a browser.
It also provides controls to stop the running server (
) and launch the stopped server (
).
The Jupyter Variables tool window the detailed report about variable values of the executed cell.
You can use the 
icon to manage the variables loading policy.