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.
• Code completion.
• Ability to create line comments Ctrl0/.
• 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 ipynb file icon icon.

To start working with Jupyter notebooks in PyCharm:

• Set Up Your Environment:
• Create a new Python project.
• Specify a virtual environment.
• Install the Jupyter package.
• Open or Create a Notebook:
• Open an existing .ipynb file or create a new one.
• Edit and Add Cells:
• Add and edit source cells in the notebook as needed.
• Execute Code Cells:

Execute any of the code cells to start the Jupyter server and run your code.

Mind the following user interface features when working with Jupyter notebooks in PyCharm.

Jupyter Notebook Interface Overview:

• Jupyter Notebook Toolbar: This toolbar provides quick access to frequently used actions. While additional notebook-specific actions are available in the Cell menu, this toolbar offers convenient shortcuts for common tasks.
• Code Cell: A code cell within the notebook is where you write and execute executable code. These cells are where you input your Python code for analysis, calculations, or data manipulation.
• Cell Output: After executing a code cell, the results are displayed in the cell output area. This output can take various forms, including text, tables, or plots, depending on the code's purpose and the libraries used.
• Cell Toolbar: The cell toolbar, typically hidden by default, contains essential commands for managing code cells. To enable this toolbar, navigate to Project Settings (Ctrl+Alt+S), go to Languages & Frameworks | Jupyter, and check the "Show cell toolbar" option. Once enabled, it provides shortcuts and options for working with code cells efficiently.

Each code cell has its configurable toolbar so that you can easily access the most popular commands and actions. By default, cell toolbars are disabled. To enable them, open project Settings (Ctrl+Alt+S), go to Languages & Frameworks | Jupyter, and select the Show cell toolbar checkbox.

Symbol	Toolbar Element	Description
	Run Cell	Executes the code cell. You can also press Ctrl+Enter to run the code cell.
	Run Cell and Select Below	Executes this cell and selects the cell below. Press Shift+Enter to perform the same action.
	Move Cell Up	Moves the current cell up.
	Move Cell Down	Moves the current cell down.
	Delete Cell	Deletes the current cell.
	More Options	Open the list of additional actions:
	Run All Above	Executes all cells that preceded the selected cell.
	Debug Cell	Runs the Debugger for the current cell. You should set a breakpoint first. Click the gutter next to the line where you want to stop.
	Merge Cell Above	Merges the current cell with the cell above.
	Merge Cell Below	Merges the current cell with the cell below.
	Split Cell	Splits the current cell by the selected code line.
	Convert Cell to Code	Converts the current cell into a code cell.
	Convert Cell to Markdown	Converts the current cell into a Markdown cell.

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 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 Configure Jupyter Server to set up another local or remote Jupyter server.
	List of the available Jupyter kernels.
	Select this checkbox to allow executing JavaScript in your Jupyter notebook.
	This action selects the cell above.
	This action selects the cell below.
	You can preview the notebook in a browser.

The Server Log tab within the Jupyter tool window becomes accessible once you launch a Jupyter server. Within this tab, you can monitor the real-time status of the Jupyter server and conveniently access the link to open your notebook in a web browser.

It also provides controls to stop the running server (Stop the server( )) and launch the stopped server (Run the server( )).

The Jupyter Variables tool window the detailed report about variable values of the executed cell.

You can use the Settings icon to manage the variables loading policyhttps://www.jetbrains.com/help/pycharm/variables-loading-policy.html.