Learn Python by Building Data Science Applications

Packaging and Testing with Poetry and PyTest

Until now, all our code has lived in either notebooks or Python files. While that is totally fine, with the growth in volume and complexity of our code, it is increasingly becoming a good idea to form one or more go-to sources for the code we use most frequently, as well as sources for the complex code that we don't want to risk adding mistakes to. 

In this chapter, we will learn how to build our own packages for use in multiple projects or to be easily shared with others, using the poetry package. A package can work as a deliverable—something you can pass to or share with your client! Building and testing packages is a vital skill that increases your productivity and allows you to save time and ...