Factual package intelligence from PyPI

data-science-toolbox 0.1.4 package intelligence

Various code to aid in data science projects for tasks involving data cleaning, ETL, EDA, NLP, viz, feature engineering, feature selection, model validation, etc.

pip install data-science-toolbox

Current version
0.1.4
Python requirement
>=3.6,<4.0
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
172.0 KiB
Release history
5 releases with files
Median release cadence
0 days

data-science-toolbox dependencies

PyPI declares 18 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pytest >=5.2.4,<6.0.0
  2. click >=7.0,<8.0
  3. papermill >=1.2.1,<2.0.0
  4. scipy >=1.1.0,<2.0.0
  5. numpy >=1.15.2,<2.0.0
  6. scikit_learn >=0.21.0,<0.22.0
  7. pandas_profiling >=2.3.0,<3.0.0
  8. matplotlib >=3.0.2,<4.0.0
  9. seaborn >=0.9.0,<0.10.0
  10. pandas >=0.25.3,<0.26.0
  11. tables >=3.6.1,<4.0.0
  12. openpyxl >=3.0.1,<4.0.0
  13. dask >=2.8.1,<3.0.0
  14. xlrd >=1.0.0,<2.0.0
  15. spacy >=2.2.3,<3.0.0
  16. textacy >=0.5.0,<0.6.0
  17. textblob >=0.15.3,<0.16.0
  18. vaderSentiment >=3.2.1,<4.0.0

Compatibility and release files

data-science-toolbox publishes 1 wheel and 1 source archive for version 0.1.4. Wheel platform tags: any.

Declared Python classifiers: 3.6, 3.7.

Release activity and sources

PyPI lists 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .