Regex for the Modern Data Scientists

Author(s): Riccardo Andreoni

Originally published on Towards AI.

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

In Data Science and Software Engineering, Regular Expressions, or RegEx, is an indispensable tool. These intricate patterns of characters hold the key to efficiently extracting and manipulating data, making them a must-know for professionals in these fields.

Image by the author.

In the landscape of Data Science and programming, when it comes to parsing and manipulating text data, the simplicity of basic string operations often falls short.

Consider a scenario where you need to extract email addresses from a large, unstructured dataset of customer reviews. Using basic Python string functions to locate email addresses among the text would be similar to searching for… Read the full blog for free on Medium.

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Published via Towards AI