Images Flavour

Every version of the Python engine comes with 3 flavours:

Image	Description
`pyfx`	Minimal image containing only the `pyfx` Python module and required dependencies.
`datascience`	Image containing `pyfx` and common data science Python libraries.
`neural`	Image containing `pyfx`, common data science libraries and neural network related libraries.

For v11, those flavours contains the following libraries (and their dependencies):

pyfx contains:
- python = "3.12."
- fastavro
- filelock
- jsonschema
- numpy
- pandas
- requests
- requests-toolbelt
- SecretStorage
- setuptools
datascience contains pyfx libraries and dependencies, plus the following:
- dython,
- graphviz,
- igraph,
- imbalanced-learn,
- interpret,
- joblib,
- jpmml-evaluator,
- leidenalg,
- lightgbm,
- matplotlib,
- onnxconverter-common,
- onnxmltools,
- onnxruntime,
- optuna,
- optuna-integration,
- polars,
- pynndescent,
- sacred,
- scikit-learn,
  scipy,
- shap,
- sklearn-pandas,
- sklearn2pmml,
- SQLAlchemy,
- statsmodels,
- sympy,
- umap-learn,
- xgboost,
neural contains pyfx and datascience libraries and dependencies, plus the following:
- BERTopic,
- darts,
- gaminet,
- holidays,
- inflect,
- neuralprophet,
- sentence-transformers,
- tensorflow,
- torch,
- torchviz