Metadata-Version: 2.1
Name: analytics-mesh
Version: 0.1.0
Summary: Facades and common functions necessary for data science and data engineering workflows
Home-page: UNKNOWN
Author: Jacques du Toit, Carl du Plessis, Lydia de Lange, Bernie Lindner
Author-email: 
License: UNKNOWN
Platform: UNKNOWN
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Utilities
Description-Content-Type: text/markdown
License-File: LICENSE
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Requires-Dist: deprecation (==2.1.0)
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Requires-Dist: joblib (==1.0.1)
Requires-Dist: numpy (>=1.17.0)
Requires-Dist: pandas (>==1.1.3)
Requires-Dist: pre-commit (==2.13.0)
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Requires-Dist: pylint-exit (>=1.2.0)
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Requires-Dist: PyYAML (==5.4.1)
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Requires-Dist: tensorflow (==2.4.0)

# analytics-mesh
Interfaces and facades that facilitate a common approach to analytics tasks



## Pre-Commit Hooks

In this repo we are using the python `precommit` package (included in requirements.txt file). In order to leverage it in your development workflow, you need to run the following commands (assuming you have already installed your requirements).

```bash
pre-commit install
```

The consequences of this is that you will convert `ipynb` notebooks to `md`.




