Factual package intelligence from PyPI

smart-data-science 0.1.2 package intelligence

Personal side project to streamline the most common tasks of data science solutions in an efficient manner. This project is based on my experience as a lead data scientist in the industry and financial services sectors, where I have gained expertise in delivering effective data-d

pip install smart-data-science

Current version
0.1.2
Python requirement
>=3.10,<4.0
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
18.4 MiB
Release history
2 releases with files
Median release cadence
20 days

smart-data-science dependencies

PyPI declares 35 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pandas >=1.5.0
  2. pyarrow >=9.0.0
  3. pandera >=0.13.4
  4. pandarallel >=1.6.3
  5. py-cpuinfo >=9.0.0
  6. jupyter >=1.0.0
  7. ipython >=8.10
  8. jupyter-contrib-nbextensions >=0.7.0
  9. psutil >=5.9.4
  10. tqdm >=4.64.1
  11. uvicorn >=0.20.0

The compact report shows 25 of 35 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

smart-data-science publishes 1 wheel and 1 source archive for version 0.1.2. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11.

Metadata completeness

PyPI does not currently declare: project URL. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

The project does not publish external project URLs in its PyPI metadata.