sednabcn / python-package-explained

This repository describes the methodology to build a minimal python package

Mypackage

Mypackage provides a method to generate random distribution samples based on the Normal, Poisson and Binomial distribution. Typical usage often looks like this:

#!/usr/bin/env python

from mypackage import srcipt-command_line
from mypackage import Gen
from mypackage.subpackage.module import draw_sample, descriptive_sample

Installation

-Download the package from https://github.com/sednabcn/Python-Package-Explained -Make the dir MyPackage and put into it all files downloaded Install locally: pip3 install . Install to the system: sudo python setup.py install

mypackage --------

To use (with caution), simply do:: sedna@hp:~$ python3.8 Python 3.8.2 (default, Apr 27 2020, 15:53:34) [GCC 9.3.0] on linux Type "help", "copyright", "credits" or "license" for more information. >>> import mypackage >>> import mypackage.subpackage >>> import mypackage.tests >>> import mypackage.subpackage.module >>> from mypackage.main import Gen >>> from mypackage.subpackage.module import summarize

test_generated_samples (mypackage.tests.test_mypackage.Testmypackage) ... ok

----------------------------------------------------------------------Ran 1 test in 1.897s

OK

script

To use at the prompt (command-line) sedna@hp:$ script-command_line --Normal 1000 0.0 0.1 30 --Poisson 1000 5 None 14 --Binomial 20000 9 0.1 30 Descriptive Method for Normal Distribution: min: -0.3499113924055577 max: 0.30747293791217245 mean: -0.004195217226063487 std: 0.10254739392393213 Descriptive Method for Poisson Distribution: min: 0 max: 16 mean: 4.941 std: 2.224751446791304 Descriptive Method for Binomial Distribution: min: 0 max: 6 mean: 0.89995 std: 0.89528766187187