Metadata-Version: 2.3
Name: datasci-utils
Version: 0.1.0
Summary: A comprehensive Python package designed for efficient manipulation and analysis of time series data at scale. Whether you’re working with financial data, retail metrics, or any time-based datasets, tsacme provides the tools you need to clean, analyze, and preprocess your data effectively.
Author: John Snow
Author-email: johnsnow@company.com
Requires-Python: >=3.10
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Requires-Dist: black (>=25.1.0,<26.0.0)
Requires-Dist: matplotlib (>=3.10.0,<4.0.0)
Requires-Dist: numpy (>=2.2.3,<3.0.0)
Requires-Dist: pandas (>=2.2.3,<3.0.0)
Requires-Dist: plotnine (>=0.14.5,<0.15.0)
Requires-Dist: pylint (>=3.3.4,<4.0.0)
Requires-Dist: scikit-learn (>=1.6.1,<2.0.0)
Description-Content-Type: text/markdown

# Create a python environment
poetry config --list
poetry config virtualenvs.in-project true
poetry env activate
poetry run which python

# Install dependencies
poetry install
poetry lock

# Poetry publish package
poetry pubñish
