Skip to main content

A Python package that provides helpers for cleaning, deduplication, enrichment, etc. in Spark

Project description

Spark ETL Python

https://img.shields.io/pypi/v/spark_etl_python.svg https://img.shields.io/travis/flavianh/spark_etl_python.svg Documentation Status Updates

A Python package that provides helpers for cleaning, deduplication, enrichment, etc. in Spark

Features

  • TODO

Develop

In order to be able to develop on this package:

  1. Create a virtual environment

  2. Install pip-tools: pip install pip-tools

  3. Run pip-sync requirements_dev.txt requirements.txt

To update dependencies, add them to requirements.in (if they are needed to run the package) or requirements_dev.in. Then run pip-compile requirements.in or pip-compile requirements_dev.in.

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

0.1.0 (2018-10-19)

  • First release on PyPI.

Project details


Download files

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

Source Distribution

spark_etl_python-0.1.5.tar.gz (9.2 kB view hashes)

Uploaded Source

Built Distribution

spark_etl_python-0.1.5-py2.py3-none-any.whl (4.1 kB view hashes)

Uploaded Python 2 Python 3

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