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_num_cols
# Example
df = fill_missing_num_cols(df, strategy="mean")
model = train_logistic(X_train, y_train)
📄 License
MIT License © 2025 Yuki Li
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file dsutilbox-0.1.1.tar.gz.
File metadata
- Download URL: dsutilbox-0.1.1.tar.gz
- Upload date:
- Size: 2.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
84d4a9bc87d4e98b650c326ae5e982c1fe37538d22af2ffcc5091270a901cb2c
|
|
| MD5 |
787946eecbc622e2b0d43879ca3feabb
|
|
| BLAKE2b-256 |
e24d529ba8001a0ebdc9061ca9db0b4e936717b254ae25af938026e82fefb401
|
File details
Details for the file dsutilbox-0.1.1-py3-none-any.whl.
File metadata
- Download URL: dsutilbox-0.1.1-py3-none-any.whl
- Upload date:
- Size: 3.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8093c43112df9b18a6d68788875a5324850e9b790fb3a3c4cef120a2d220aefe
|
|
| MD5 |
44c3599948d3e1624372e5e1707bd284
|
|
| BLAKE2b-256 |
868ba6c151abb01336c3708b04e670564cf7d8172baccf19af2817cd23bfab5c
|
