Regex for the Modern Data Scientist — Part 2

Author(s): Riccardo Andreoni

Originally published on Towards AI.

Let’s continue our dive into the intriguing world of RegEx and discover its importance for data scientists and software engineers.

In the previous article, we analyzed the RegEx fundamental elements. We discovered how patterns can be considered an alternation of character sequences (what to match), quantifiers (how many times), and positionals (where to match). Now, in the second part of this practical RegEx guide, we go deeper into the practical use of RegEx patterns, focusing on the essential Python functions.

Image by the author.Let’s dive into the intriguing world of RegEx and discover its importance for data scientists and software engineers.

pub.towardsai.net

Among Numpy, Pandas, and Scikit-Learn, the RegEx library in Python stands as a pillar in the Data Scientist toolkit. It offers… Read the full blog for free on Medium.

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Published via Towards AI