These tutorials are intended to help the reader get acquainted with the many features of Prefect and its vocabulary. All code examples are locally executable in any Python version supported by Prefect (3.6+). Note that all features presented here are run without the Prefect server.
The "hello, world!" of data engineering
Can your data engineering framework do this?
Visualize your Prefect flows with
Learn some useful tips and tricks for how to debug common situations!
# Advanced Featuresadvanced
Dynamically create large numbers of tasks using
task.map()! Using a real-world web-scraping project as an example, walks through the more advanced features of Prefect including advanced parameter usage, task mapping, and parallelism.
Install the Prefect Slack integration and get real time notifications on the state of your tasks and flows -- all within the convenience of Slack!
Learn how to deploy your Prefect flow to a Dask cluster.
Learn how to customize and enhance your Prefect logs.