AWS Step Functions Data Science SDK for Python - AWS Step Functions

AWS Step Functions Data Science SDK for Python

The AWS Step Functions Data Science SDK is an open source library that allows data scientists to easily create workflows that process and publish machine learning models using SageMaker and Step Functions. You can create multi-step machine learning workflows in Python that orchestrate AWS infrastructure at scale, without having to provision and integrate the AWS services separately.

The AWS Step FunctionsData Science SDK provides a Python API that can create and invoke Step Functions workflows. You can manage and execute these workflows directly in Python, and in Jupyter notebooks.

In addition to creating production-ready workflows directly in Python, the AWS Step Functions Data Science SDK allows you to copy that workflow, experiment with new options, and then put the refined workflow in production.

For more information about the AWS Step Functions Data Science SDK, see the following: