Efficiently processing large molecular datasets with Dask Disctributed, DataFrames and Prefect,
I’m working with a large dataset of molecular structures (approximately 240,000 records) stored in a PostgreSQL database. I need to perform computations on each molecule using RDKit. I’m using Dask for distributed computing and Prefect for workflow management. My main goal is to efficiently distribute this dataset to my Dask workers and compute the results.