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 ...

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 ...

For example, when processing log files or large datasets, you can write a generator to read and yield each line or data point sequentially, minimizing memory usage while maintaining processing ...

Handling complex data structures in Python can be daunting, but with the right techniques, it's entirely manageable. Python is a versatile language favored for its readability and simplicity, yet ...

Financial Development and Structure Dataset (updated September 2015) Authors: Thorsten Beck, Asli Demirguc-Kunt, Ross Eric Levine, Martin Cihak and Erik H.B. Feyen Web Address: Finance Research Topics ...

May 15, 2025 23:00:00 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)' ...