In one of the last lessons, we explained variables using the analogy of a warehouse. We learned that a variable is just a label, and that the label gets stuck onto a box sitting somewhere in the warehouse (in memory). The box holds the value. The box also has a data type.

In this lesson, we continue our discussion of Python data types. We are going to discuss one of the most commonly used data types in network programmability and automation: lists.

In this lesson, we are going to discuss one of the most straightforward Python data types called an integer. The following diagram shows where it fits into the built-in Python data types we will discuss in this course.

In this lesson, we discuss the concept of Python data types. However, before we examine the different data types, we first need to understand one of the most basic concepts in Python: variables.

In the software world, people can’t agree on a single way to solve any one problem. Different developers, companies, and communities often prefer different approaches because they try to solve different problems.