Bryan Galindo

@skrawcz i can start working on pandas gbq!

I'm open to taking any of the below. Thanks! - polars - dask - dbt - airflow - spark

@skrawcz I'm working on the Dask example instead since the Polars example doesn't have a **run.py** module (unless I missed it or someone is hiding it in a shelf 😄)....

> > @skrawcz I'm working on the Dask example instead since the Polars example doesn't have a **run.py** module (unless I missed it or someone is hiding it in a...

@skrawcz i can take the ray example

working on this

@skrawcz for the third requirement, assuming we're talking about the materialization example, where do you want to store the example? (e.g., `examples/pandas/materialization/gbq`, `examples/pandas/gbq/materialization`, `examples/pandas/materialization/notebook-gbq.ipynb`)

I am working on this 👍 > Yeah let's just put it under `examples/pandas/materialization/gbq` and have similar script & notebook ? That way it can have its own README too....

how to save a model into mlflow: https://mlflow.org/docs/latest/quickstart.html#store-a-model-in-mlflow how to load a model from mlflow: https://mlflow.org/docs/latest/quickstart.html#load-a-model-from-a-specific-training-run-for-inference

model flavors can be found [here](https://mlflow.org/docs/latest/models.html#models-built-in-model-flavors) or below (but missing [crate](https://mlflow.org/docs/latest/models.html#r-function-crate)?) ```py >>> import mlflow >>> mlflow.__version__ '2.7.1' >>> [attr for attr in dir(mlflow) if hasattr(getattr(mlflow, attr), 'log_model')] [ 'catboost',...