Factual package intelligence from PyPI

jx-distributions 2.1.0 package intelligence

This code in this package uses the concept of Object-Oriented Programming to carry out some simple calculations related to Gaussian and Bionomial distributions. This is a course project from the Udacity Data Scientist Nanodegree program.

pip install jx-distributions

Current version
2.1.0
Python requirement
Not declared
License
Not declared
Distribution type
No wheel classification available
Release files
1 (0 wheels, 1 source)
Download size
4.1 KiB
Release history
3 releases with files
Median release cadence
0 days

jx-distributions dependencies

PyPI declares 0 unique dependency rules for this release. Environment markers are shown when supplied by the project.

This release declares no required runtime dependencies in its PyPI metadata.

Compatibility and release files

jx-distributions publishes 0 wheels and 1 source archive for version 2.1.0. Wheel platform tags: No wheel platform tags.

No version-specific Python classifiers are declared.

Metadata completeness

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

Release activity and sources

PyPI lists 3 releases with files. The first dated release is ; 3 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.