Creating Notebook Sessions
You create a notebook session to access a JupyterLab environment which has pre-installed open source Python libraries and Oracle Accelerated Data Science (ADS) Python library, running on Oracle Cloud Infrastructure compute, storage, and networking.
- Log into your tenancy with suitable policies.
- Open the navigation menu.
- Under Data and AI, click Data Sciences, and then click Projects.
- Click the name of the project to contain the notebook session.
- Click Create Notebook Session.
- Select the compartment that you want to contain the notebook session.
(Optional, but recommended) Enter a unique name for the notebook session (limit
of 255 characters). If you don't provide a name, a name is automatically
generated for you. For example,
Select one of the supported VM standard Compute shapes.
Data Science supports a subset of all of the Compute shapes.
- Enter the block volume size you want to use between 50 GB and 1,024 GB (1 TB). You can change the value by 1GB increments. The default value is 1024 GB.
- Select the VCN compartment that contains the VCN that you want to use.
- Select the VCN that you want to use.
- Select the subnet compartment that contains the subnet that you want to use.
- Select the subnet that you want to use.
- (Optional) Add tags to the notebook session by selecting a tag namespace, then entering the key and the value. You can add more tags to the compartment by clicking +Additional Tags, see Working with Resource Tags.
- (Optional) View the details for your notebook session immediately after creation by selecting Display notebook session details after creation.
Because the notebook environment contains a comprehensive list of ML libraries, it can take several minutes to create a notebook session.
You are advanced to the notebook sessions page. When it is complete, the status turns to active, and you can open the notebook session.
The create notebook session action is asynchronous and initiates a work request. You can use the work request to track the status of an operation. For general information about using work requests in Oracle Cloud Infrastructure, see Work Requests and the Work Requests API.