Tutorial: Python Regex (Regular Expressions) for Data Scientists

Tutorial: Python Regex (Regular Expressions) for Data Scientists

In this Python regex tutorial, learn how to use regular expressions and the pandas library to manage large data sets during data analysis.

Diving headlong into data sets is a part of the mission for anyone working in data science. Often, this means number-crunching, but what do we do when our data set is primarily text-based? We can use regular expressions. In this tutorial, we’re going to take a closer look at how to use regular expressions (regex) in Python.

Regular expressions (regex) are essentially text patterns that you can use to automate searching through and replacing elements within strings of text. This can make cleaning and working with text-based data sets much easier, saving you the trouble of having to search through mountains of text by hand.

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