When you have installed the required plugins and established connections to the servers, you can start working with your notebooks.
Right-click any notebook in the Big Data Tools window to open the context menu for the basic operations with the notebook. You can also use the following shortcuts:
Action
Shortcut
Copy
Ctrl+C
Paste
Ctrl+V
Cut
Ctrl+X
Move
F6
Rename
Shift+F6
Move to trash
Delete
Creating notebooks
You can create a new notebook on the target server (remote notebook) or in the current PyCharm project (local notebook).
Create a remote notebook
In the Big Data Tools window, right-click any of the configured servers or a folder and select Create Note from the context menu or press Alt+Insert.
In the Create note dialog, enter the name of the notebook. You can use the / symbol to create a notebook within a folder. Click OK.
The newly added notebook appears in the Big Data Tools window.
In PyCharm, you can create notebooks that are stored locally.
Create a local notebook
In the Project tool window, select the project root, pressAlt+Insert, and select Zeppelin Notebook.
In the Create Zeppelin Notebook dialog, enter the notebook name and pressEnter.
The newly added local notebook appears in the Project tool window.
You can search for a particular notebook in the established Zeppelin connections.
Search for a notebook
Select a target Zeppelin connection in the Big Data Tools window.
Click the on the Big Data Tools window toolbar. Alternatively, right-click and select Zeppelin Connection Search.
Type anything in the Search field. The matching notebooks will be shown in the list of findings.
Editing notebooks
Once you create a notebook, it opens in the editor. The newly added notebook has one executable paragraph marked with the % delimiter.
Work with paragraphs
Press Enter and start editing your notebook right away.
Any time you need to add more paragraphs or delete the current paragraph, just press Alt+Enter and select the required action:
Note, that you don't need to save your edits. Auto-saving is triggered by various events, for example, closing a notebook or a project, or quitting the IDE.
Manage interpreter bindings
Once you have added code to your notebook, you're ready to execute it and analyze the data. However, you can customize the interpreters used to execute paragraphs by the target server.
In the Interpreter Bindings dialog, use the arrow buttons to alter the priority of an interpreter. You can also deselect an interpreter and explicitly disable it or restart any interpreter when, for example, the corresponding session got expired.
on the Big Data Tools window toolbar. Alternatively, right-click and select Zeppelin Connection Search. 
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