Gaussian and Binomial Distributions Package

This is a simple example package for Gaussian and Binomial Distributions made during the Udacity AWS Fundamentals of Machine Learning course.

Release files for gbdny 0.0.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution for gbdny 0.0.2
File	Size	Uploaded
gbdny-0.0.2.tar.gz	3.6 kB	Jul 25, 2020	Details

Table of built distributions (wheels) for gbdny 0.0.2
File	Interpreter	ABI	Platform	Reset
gbdny-0.0.2-py3-none-any.whl 5.8 kB Jul 25, 2020	Python 3	none	any	Details

Total release size: 9.3 kB

Download URL	gbdny-0.0.2.tar.gz
Size	3.6 kB
Tags	Source
SHA-256 checksum How to use checksums	`f3504fa902574a0c8fab3ea7685b7a0f8dc2deba1c9c956de50df0ea27af6d4f`
BLAKE2b-256 checksum How to use checksums	`7896f41f5fb6357d370c929b8d92a68800726c0dc6c1824aeecf907969b7bf8c`
Upload date	Jul 25, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.2.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.6.3`

Download URL	gbdny-0.0.2-py3-none-any.whl
Size	5.8 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`93ca1d5751ff176582f69dec73c597150064d3a29a6df411e547c1f75e9845b5`
BLAKE2b-256 checksum How to use checksums	`1b64ae86fc1aabf6ed1086429ec2a64c3afdf9970dba10ae11bc02bdd91f20ea`
Upload date	Jul 25, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.2.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.6.3`