This is a library of Python packages that provide a foundation for much of the AI and machine learning stack on IBM z/OS. The information contained here can be used to manage your Python deployment into development and production environments in your z/OS enterprise.

Two other key resources are provided to effectively use this toolkit:

• The package index. For research and discovery of the functions available in the toolkit.
  • https://ibm-z-oss-oda.github.io/python_ai_toolkit_zos/
• The package repository. Configure your pip environment to use this package repository rather than the default community pypi.org. This can be accomplished in several ways. See the Discussions for information on how to configure your environment appropriately.

The requirements directory of this repository contains a collection of requirements.txt files that represent the full contents of the toolkit at different points in time. They are released on a quarterly basis to provide a current package listing on a regular cadence. Keep in mind that like all open source projects, this toolkit is dynamic and evolves. The requirements files serve as a canonical list of the toolkit contents over time.