This repo contains several examples of the Dataflow python API. The examples are solutions to common use cases we see in the field. Ingesting data from a file into BigQuery Transforming data in ...

Discover best practices for iterating over large Python data structures efficiently without compromising on performance or memory usage.

Set up a working environment for the MRD client/server pair using conda or Docker. In a command prompt, generate a sample raw dataset: python generate_cartesian_shepp_logan_dataset.py -o ...

Learn how to manage complex Python data structures with essential tips on using libraries, understanding types, and optimizing performance.

Meta releases 'OMol25,' a large-scale quantum chemistry dataset containing over 100 million molecular structure records, and the AI model 'Universal Model for Atoms (UMA)' ...