Metadata-Version: 2.1
Name: sdutilities
Version: 1.3.2
Summary: This package is intended to implement uniformity across                  SD Data Science projects.
Author: Stephen Olsen, Taylor Ward, McKenna Magoffin, Jaffar Shaik, Evan Tucker, Chintan Dalal
Author-email: taylorward@sociallydetermined.com,                   mckennamagoffin@sociallydetermined.com,                   chintandalal@sociallydetermined.com
Maintainer: Chintan Dalal
Maintainer-email: chintandalal@sociallydetermined.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: Other/Proprietary License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: setuptools >=70.0.0
Requires-Dist: zipp >=3.19.1
Requires-Dist: requests >=2.32.2
Requires-Dist: pandas >=1.2.3
Requires-Dist: numpy <=1.23.5
Requires-Dist: certifi >=2023.7.22
Requires-Dist: sdcensus >=0.8.20
Requires-Dist: us >=2.0.2
Requires-Dist: sqlalchemy >=1.3.9
Requires-Dist: matplotlib >=3.8.2
Requires-Dist: Pillow >=10.0.1
Requires-Dist: boto3 >=1.17.43
Requires-Dist: botocore >=1.19.52
Requires-Dist: python-Levenshtein >=0.12.2
Requires-Dist: fuzzywuzzy >=0.18.0
Requires-Dist: fonttools >=4.47.2
Requires-Dist: psycopg2 >=2.9.9
Requires-Dist: pytest-mock >=3.12.0
Requires-Dist: httpx >=0.26.0

# sdutilities

This package is intended to implement uniformity across SD Data Science projects.

Functions and Classes that are included in this package are those frequently used across a variety of projects.  We aim to make our code simplified and uniform by continuously updating both this package and the projects where the functions are applicable.

## Note: The latest version of this package can be used only in Databricks and directly from Github.  To use this package in Databricks, follow the instructions below:
1. Use the option of installing a wheel from S3
2. Use the following uri: `s3://sdac-s3-use1-data-ocean/silver/internal/users/data_science/interim/tests/sdutilities-<version>-py3-none-any.whl` OR
3. Always install on notebook scope as shown below, and if there any pip conflicts, please use the `--force-reinstall --no-deps` option:
```
# A full install
!pip install "/dbfs/internal/users/data_science/dist/sdutilities-1.2.8.tar.gz"
 
# To install only the log module
!pip install "/dbfs/internal/users/data_science/dist/sdutilities_log-1.0.0.tar.gz"

# if there are any conflicts, use the following option
!pip install "/dbfs/internal/users/data_science/dist/sdutilities-1.2.8.tar.gz" --force-reinstall --no-deps
```
