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Intuitive and powerful, Python is the perfect match for OCI. Check out these resources to get started on your next ML project, build an app, or extend the functionality of your cloud instance.
If you haven't heard ML is a game changer. Pair it with Python's flexibility, platform independence, and library ecosystem to take ML to new heights. This is all possible with OCI Data Science which you can use to easily build, train, host, and deploy models.
The OCI Software Development Kit provides the tools you need to develop your app, including code samples and documentation to create, test, and troubleshoot. Pair this with the DB extension for ultimate control.
Pick a framework, any framework. Traditional VMs, BareMetal, Kubernetes, it’s no matter—we’ve got you covered. Whichever flavor your stack, Python apps run seamlessly on OCI.
Explore and visualize the data, build a time series model and analyze the performance.
Learn how to access Autonomous DB from your PySpark app.
Learn how to connect Python applications to Oracle Autonomous Database (ADB) using the cx_Oracle interface.
Getting Started with OCI Functions using CLI.
Learn how to use a Oracle DB wallet to connect from Python, Node.js, PHP, Ruby and Go.
Getting Started with OCI Functions using CloudShell.
Learn how to call a function in OCI Functions using the API Gateway.
Learn how to validate a function in OCI Functions using the API Gateway.
Deploy a Python Flask web application on OCI Container Engine via Cloud Shell.
Deploy an Ubuntu VM on OCI and setup Flask, a lightweight web application framework for Python.