Learn Python by Building Data Science Applications

Functions

At the end of the previous chapter, we solved a simple conversion problem, and while the problem was solved, it can be argued that the code we used wasn't exactly perfect; of course, it allowed us to change variable names (for instance, update hotel pricing), but it was still hard to read and error-prone. In addition, some particular elements of the code were repetitive, as we performed the same operations on different values.

This is exactly the opposite of one measure of code quality employed by programmers—Don't Repeat Yourself! (DRY) code—code that has no repeating parts. In other words, operations that we use multiple times should be articulated and defined once. This will allow us to keep the code short, concise, and expressive. ...