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Python and Apteco

Apteco's Python integration, provided through a Python package, uses the Orbit API to fetch FastStats data and results, making them available for data analysis.

This integration suits exploratory data analysis in environments such as Python consoles or Jupyter notebooks. It also excels at integrating FastStats data with other systems.

Key features:

  • Exploratory data analysis: conduct data analysis in environments like Jupyter notebooks or Python console sessions.
  • Data integration: retrieve FastStats data and results for seamless integration with other systems.

Getting started

Apteco provides a Python package to support integration with Python via the Orbit API. You can download it from PyPI (the Python Package Index).

For more details, including requirements, installation instructions, a quickstart guide, and tutorial, see the full py-apteco documentation.

Note

  • You must export FastStats data to the Python environment to use it in models or scripts. Apteco software doesn't support running Python models or scripts directly.
  • There is no direct method to programmatically push results generated by a Python process back into FastStats. To access these results within FastStats, use conventional data import methods. Options include the Data Import Wizard, system definition incorporation during the build process, or referencing a file from a selection or expression.