A base class and utilities for creating steps in DAGs that are tied to large amounts of data.
A base class and utility functions for creating pure functions steps for DAGs that are heavily tied to large amounts of data.
This library should rarely be used by itself, it was developed in pair with cookiecutter-stepworkflow and you should look there for more context rich documentation.
pip install datastep
pip install git+https://github.com/AllenCellModeling/datastep.git
For full package documentation please visit AllenCellModeling.github.io/datastep.
See CONTRIBUTING.md for information related to developing the code.
Free software: Allen Institute Software License
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size datastep-0.1.4-py2.py3-none-any.whl (21.6 kB)||File type Wheel||Python version py2.py3||Upload date||Hashes View|
|Filename, size datastep-0.1.4.tar.gz (23.4 kB)||File type Source||Python version None||Upload date||Hashes View|
Hashes for datastep-0.1.4-py2.py3-none-any.whl