Factual package intelligence from PyPI
Automatically write pandas DataFrames to SQL by creating pipelines in Azure Data Factory with copy activity from blob to SQL
pip install df-to-azure
PyPI declares 8 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.12.0>=7.1.0>=23.1.1>=12.20.0>=2.2.2>=16.1.0>=5.1.0>=2.0.30df-to-azure publishes 1 wheel and 1 source archive for version 1.0.2. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 30 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .