Lightweight utilities for data science workflows
Project description
dsutilbox
dsutilbox is a lightweight, modular Python package that provides reusable utilities for data science workflows.
It helps you speed up experimentation and maintain consistency across projects by organizing commonly used preprocessing, modeling, and evaluation functions.
Features
- 🧹 Preprocessing: missing value handling.
Installation
To install in editable (development) mode:
pip install -e .
Make sure you run this command from the root folder that contains the pyproject.toml file.
Example Usage
from dsutilbox.preprocessing import fill_missing
# Example
df = fill_missing(df, strategy="mean")
model = train_logistic(X_train, y_train)
📄 License
MIT License © 2025 Yuki Li
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