What are regular expressions? Why are regular expressions useful   

Part1: Many data science, analyst, and technology professionals have encountered regular expressions at some point. This esoteric, miniature language is used for matching complex text patterns, and looks mysterious and intimidating at first. However, regular expressions (also called “regex”) are a powerful tool that only require a small time investment to learn. They are almost ubiquitously supported wherever there is data.

What are regular expressions? Why are regular expressions useful? How would you use regular expressions in data visualizations?

Discussion Length (word count): At least 250 words (not including direct quotes).

Part2: You are also required to post a response with facts and examples to a minimum of 2 other student in the class. (80-100 Words per response)

This assignment should be in APA format and have to include at least two references (Use two or more APA in-text citation). By submitting this discussion, you agree for Plagiarism check with all the existing internal student papers and outside external references.