DSS and Python¶
DSS includes deep integration with Python. In many parts of DSS, you can write Python code:
In Jupyter notebooks
In standard webapp backends
In scenarios, metrics and checks
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.
- Installing Python packages
- Reusing Python code
- Using Matplotlib
- Using SpaCy
- Using Bokeh
- Using Plot.ly
- Using Ggplot
- Using Jupyter Widgets