Regular Expressions RegEx Tutorial 2 Simple RegEx Patterns

The most basic regular expression consists of a single literal character, such as a. It matches the first occurrence of that character in the string. ... In a programming language, there is usually a separate function that you can call to continue searching through the string after the previous match.Regular Expressions are useful for numerous practical day to day tasks that a data scientist encounters. They are used everywhere from data pre-processing to natural language processing, pattern matching, web scraping, data extraction and what not!Write the regular expression for the language accepting all the string containing any number of a's and b's. Solution: The regular expression will be: r.e. = (a + b)*.The regular languages are closed under complement, union, intersection, concatenation, and star. Proof The closure properties under union, concatenation, and star follow from the fact that the regular languages are those that are expressible with regular expressions.Regular expressions are useful in search and replace operations. The typical use case is to look for a sub-string that matches a pattern and replace it with something else. Most APIs using regular expressions allow you to reference capture groups from the search pattern in the replacement string.