Oracle site

1. Workspace Design and Setup

2. Projects
Oracle Cloud Infrastructure Data Science

3. What are projects?
2021:
Professor, Anthony
Klotz, predicts and coins
the term “The Great
Resignation” of the U.S.
workforce.
Collaborative workspaces
for teams of data scientists
Projects give data scientists the power
to:
• Organize work around use cases
• Create Data Science resources
• Specify project names and
descriptions

4. Create Projects
From the Console
 You must have necessary
policies in place.
 You must select a compartment.
 (optional) Enter unique project
name; otherwise, one is
automatically generated.
 (optional) Add tags to easily
locate and track the resource.
From ADS SDK
 Use the ProjectCatalog object:
 Create a project by calling
the create_project() method.
 Specify the compartment ID.
compartment_id = os.environ['NB_SESSION_COMPARTMENT_OCID']
pc = ProjectCatalog(compartment_id=compartment_id)
new_project = pc.create_project(display_name=’My New Project',
description=’My Project Description',
compartment_id=compartment_id)
There are two ways to create a Data Science project to organize your notebook sessions and models.

5. Delete
View Edit
You can view all projects on
the Project List page.
View displays project details
and metadata:
⏵ Display name
⏵ Description
⏵ OCID
⏵ Created on date/time
⏵ Created by (user OCID)
⏵ Tags
You can delete a project if it’s
empty and all associated
Data Science resources are
deleted.
Deleted projects remain in
the list for 30 days.
Use state filter to filter
projects.
You can view and edit
projects through any of the
OCI interfaces.
The only editable fields are:
⏵ Display Name
⏵ Description
⏵ Tags
Viewing, Editing, and Deleting Projects

6. Demo