DSS and Python
DSS includes deep integration with Python. In many parts of DSS, you can write Python code:
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In recipes
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In Jupyter notebooks
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In standard webapp backends
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In scenarios, metrics and checks
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In plugins
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For custom models in visual ML
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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.