Factual package intelligence from PyPI

aaa-ml-datasets-course 1.0.0 package intelligence

Репозиторий курса по созданию датасетов Академии Аналитиков Авито

pip install aaa-ml-datasets-course

Current version
1.0.0
Python requirement
<3.13,>=3.10
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
28.2 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

aaa-ml-datasets-course dependencies

PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. dotenv ==0.9.9
  2. ipykernel ==6.29.4
  3. ipywidgets ==8.1.6
  4. matplotlib ==3.8.4
  5. nltk ==3.8.1
  6. notebook ==7.4.1
  7. numpy ==1.26.4
  8. opencv-python ==4.9.0.80
  9. pandas ==2.2.3
  10. protobuf ==4.25.3
  11. scikit-learn ==1.4.2
  12. scipy ==1.13.1
  13. seaborn ==0.13.2
  14. tensorboard ==2.16.2
  15. together ==1.4.6
  16. toloka-kit ==1.2.1
  17. torch ==2.2.2
  18. torchvision ==0.17.2

The compact report shows 18 of 20 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

aaa-ml-datasets-course publishes 1 wheel and 1 source archive for version 1.0.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Metadata completeness

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

Release activity and sources

PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .

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