Core Use Cases#

This section of the Getting Started documentation will take you through the core use cases that Flyte is designed for. Within the context of these guides, weโ€™re going to assume that the discipline of data science can be broken down into at least three specializations: data engineering, machine learning (or statistical modeling more broadly), and analytics.

The purpose of these guides is to provide you, the data and ML practitioner, some practical and simple examples of how Flyte can help you in your daily practice.

๐Ÿ›  Data Engineering

Create an ETL workflow for processing data with SQLAlchemy and Pandas.

๐Ÿค– Machine Learning

Train a classifier with Scikit-Learn and Pandas.

๐Ÿ“ˆ Analytics

Develop a data cleaning and plotting pipeline with Plotly and Pandas.

Learn more

Check out more examples in the Tutorials section, which includes examples of Flyte in specific domains like bioinformatics.