Creating and managing notebooks

You can add a notebook to your project by using one of these methods: creating a notebook file, copying a sample notebook from the Resource hub, adding a notebook from a local file on your computer, or adding a notebook from a URL.  

Required permissions

You must have the Admin or Editor role in the project to create a notebook.

Watch this short video to learn the basics of Jupyter notebooks.

This video provides a visual method to learn the concepts and tasks in this documentation.

• Transcript
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  Video transcript

  Time	Transcript
  00:00	This video covers the basics for working with Jupyter notebooks using Watson Studio.
  00:07	Start in a Watson Studio project and add to the project a notebook.
  00:12	Just provide a name and a description and a Python runtime environment to use, then create the notebook.
  00:22	Let's first load a file, so you have some data to work with.
  00:28	Just drag and drop a file into the "Files" slide-out panel.
  00:32	After the file is added to the project, it's available to work with in this notebook.
  00:38	Just click "Insert to code" and insert a pandas DataFrame.
  00:43	Before running the notebook, it's a best practice to insert a cell at the top to describe what the notebook does.
  00:51	Change the cell type to Markdown so this cell will not be treated as code, and then add the description.
  00:59	Now, you're ready to run the notebook.
  01:02	The inserted code loads the data set into a DataFrame, using your credentials for your Cloud Object Storage instance, and then displays the first five rows of the data set.
  01:13	Before returning to the project, save the notebook.
  01:20	On the "Assets" tab, you'll find the notebook.
  01:24	If you open the notebook, it will be in read-only mode.
  01:28	But you can edit the notebook and make changes.
  01:34	For example, you can access the "Information" panel and change the name of the notebook.
  01:41	And on the "Environment" tab, you can change the environment used to run the notebook, as well as stop or restart the runtime environment.
  01:53	If you'd like to share a read-only version of the notebook, you can do that from here.
  01:58	You can select how much of the content you'd like to share and how you want to share the notebook: either through a link or social media.
  02:08	If you'd like to schedule the notebook to run at a different time, you can create a job.
  02:14	Just provide a name for the job and select the notebook version and runtime.
  02:24	Then, select the scheduling options, like: specifying a date for the job to run and whether you'd like the job run to repeat.
  02:43	After you create and run the job, you'll see the status and the job will display on the "Jobs" tab in the project.
  02:55	Find more videos in the Cloud Pak for Data as a Service documentation.