You can do this with setuptools

an example of a nice setup.py (say your package requires pandas and numpy):

import setuptools
setuptools.setup(
    name='myscript',
    version='1.0',
    scripts=['./scripts/myscript'],
    author='Me',
    description='This runs my script which is great.',
    packages=['lib.myscript'],
    install_requires=[
        'setuptools',
        'pandas >= 0.22.0',
        'numpy >= 1.16.0'
    ],
    python_requires='>=3.5'
)

Your directory should be setup as follows:

[dkennetz package]$ ls
lib scripts setup.py

inside lib would be:

[dkennetz package]$ ls lib
myscript

inside of myscript would be:

[dkennetz package]$ ls lib/myscript
__main__.py
__init__.py
helper_module1.py
helper_module2.py

main would be used to call your function and do whatever you want to do.

inside scripts would be:

[dkennetz package]$ ls scripts
myscript

and the contents of myscript would be:

#!/usr/bin/env bash

if [[ ! $@ ]]; then
    python3 -m myscript -h
else
    python3 -m myscript $@
fi

then to run you do: python setup.py install

which will install your program and all of the dependencies you included in install_requires=[] in your setup.py and install myscript as a command-line module:

[dkennetz ~]$ myscript