Learn Python by Building Data Science Applications

Getting to know regular expressions

Strings that store data usually have certain patterns, which can be leveraged to retrieve actual data values in a unified fashion. For example, some location cells have distinctive coordinates, and numbers and symbols of degrees, minutes, and seconds. To extract those values, we could write a custom Python code, but this will be verbose and time-consuming.

This problem – extracting values from text by defining a pattern – sounds like something quite general and useful in many situations. When a problem can be stated as something universal, it usually means that it is, and someone has a solution! This is, by the way, a good approach for programming in general.

Indeed, there is a universal solution, called ...