DSS and Python

DSS includes deep integration with Python. In many parts of DSS, you can write Python code:

  • In recipes
  • In Jupyter notebooks
  • In standard webapp backends
  • In scenarios, metrics and checks
  • In plugins
  • For custom models in visual ML
  • In API node, for custom prediction models or custom functions endpoints

Any Python package may be used in DSS.

In addition, DSS features a complete Python API, which has its own complete documentation.

The following highlights how a few specific Python packages can be used in DSS. DSS features advanced integration with most of the packages described below.