Skip to main content

Python bulk data loading ETL library

Project description

Utility for bulk loading pandas dataframes into databases

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

data_catapult-0.0.35-py3-none-any.whl (15.8 kB view details)

Uploaded Python 3

File details

Details for the file data_catapult-0.0.35-py3-none-any.whl.

File metadata

  • Download URL: data_catapult-0.0.35-py3-none-any.whl
  • Upload date:
  • Size: 15.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/50.2.0 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.8.5

File hashes

Hashes for data_catapult-0.0.35-py3-none-any.whl
Algorithm Hash digest
SHA256 60f60f41781eebc03cd4a6db7d4a217bffc3d5ee615ec779ce440d20cc8b8026
MD5 25a56e16411a678072e16cdee0e5136b
BLAKE2b-256 1765818e5d490e33e17dc6539e4958743346efacd717c9053e4536904e35c8a6

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page