A base class and utilities for creating steps in DAGs that are tied to large amounts of data.
Project description
datastep
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.
Installation
Stable Release:
pip install datastep
Development Head:
pip install git+https://github.com/AllenCellModeling/datastep.git
Documentation
For full package documentation please visit AllenCellModeling.github.io/datastep.
Development
See CONTRIBUTING.md for information related to developing the code.
Free software: Allen Institute Software License
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| Filename, size datastep-0.1.5.tar.gz (23.3 kB) | File type Source | Python version None | Upload date | Hashes View hashes |
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