Intuitive and powerful, Python is the perfect match for Oracle Cloud Infrastructure (OCI). Check out these resources to get started on your next ML project, build an app, or extend the functionality of your cloud instance.
Explore and visualize data, build a time series model, and analyze the performance.
Learn how to access Oracle Autonomous Database from your PySpark app.
Learn how to write asynchronous programs with the python-oracledb interface for Oracle Database.
Learn how to connect Python applications to Oracle Autonomous Database using the python-oracledb interface.
Get started with OCI Functions using the command-line interface (CLI).
Learn how to use an Oracle Database wallet to connect from Python, Node.js, PHP, Ruby, and Go.
In this tutorial, you use an Oracle Cloud Infrastructure account to set up Oracle Functions development using Cloud Shell. Then, you create a function application and a function.
Learn how to call a function in OCI Functions using Oracle API Gateway.
Learn how to validate an API key in OCI Functions using Oracle API Gateway.
dbt-oracle is an open source Python package that implements dbt functionalities for Oracle Database. It seamlessly integrates with Autonomous Database.
Learn how to write asynchronous programs with the python-oracledb interface for Oracle Database.
Deploy an Ubuntu VM on OCI and set up Flask, a lightweight web application framework for Python.