Factual package intelligence from PyPI

data-science-hack-functions 0.2.2 package intelligence

A collection of data science utility functions for EDA, preprocessing, evaluation, and tuning.

pip install data-science-hack-functions

Current version
0.2.2
Python requirement
>=3.7
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
132.2 KiB
Release history
9 releases with files
Median release cadence
0 days

data-science-hack-functions dependencies

PyPI declares 9 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pandas
  2. numpy
  3. scipy
  4. tabulate
  5. scikit-learn >=1.0
  6. optuna >=3.0
  7. matplotlib
  8. seaborn
  9. rich

Compatibility and release files

data-science-hack-functions publishes 1 wheel and 1 source archive for version 0.2.2. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 9 releases with files. The first dated release is ; 9 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .