Here you will learn how to elevate your code from a file or collection of files to a proper library.
Inside a setup.py file you save all the information about setting up your library.
Minimal guide to packaging.
The hitchhiker's guide to packaging is also a minimal guide to follow all the steps. Once completed, running from the mylibrary folder
python setup mylibrary
which will magically install the library, such that then you will not need to be in the same folder of mylibrary.py to import functions and classes there defined. You will treat it on par with other libraries, such as Numpy, Scipy or scikit-learn, invoking it simply with
from mylibrary import *
which will allow you to run its function simply as
hello()
In a technically more correct way, you could import the library with an alias,
import mylibrary as ml
ml.hello()
as a best practice to avoid conflicts with functions or classes that share the same name.
During the elaboration of your project, you might want to try things out and keep developing your library. In this case, the way to go more easily is to use the command
python develop mylibrary
which makes it more agile.
Advance to Section 5 - Writing a Documentation for Your Code.