Regular Expresion in python does not match in non greedy in python

Regular expressions (regex or regexp) are a powerful tool for pattern matching and text manipulation in Python. By default, regular expressions perform "greedy" matching, meaning they try to match as much text as possible. However, there are situations where you might want to use "non-greedy" matching to capture the shortest possible match. In this tutorial, we'll explore non-greedy matching in Python using regular expressions.
Regular expressions are a powerful way to specify patterns in text. They are represented as strings and can be used for various tasks like searching, replacing, and extracting data from text.
Python provides the re module for working with regular expressions. You can use this module to search, match, and manipulate text using regex patterns.
By default, regular expressions use "greedy" matching, which means they attempt to match as much text as possible. For example, in the regular expression ".*" (matching any character zero or more times), it would capture the longest sequence of characters that satisfy the pattern.
However, there are cases when you want to perform "non-greedy" matching, where you capture the shortest possible match. To do this, you can use non-greedy quantifiers.
Non-greedy matching is achieved by adding a ? after a quantifier. For example, *?, +?, and ?? are non-greedy versions of *, +, and ? quantifiers, respectively.
Let's say you have an HTML document and want to extract the text within the first set of bold tags (b.../b). Here's how you can do it using non-greedy matching:
Suppose you want to extract URLs from a text, and you want to capture the shortest URL in each case. Here's an example:
Non-greedy matching is a valuable feature of regular expressions when you need to capture the shortest possible match. It allows you to precisely extract specific patterns from text data in Python. By using non-greedy quantifiers like *?, +?, and ??, you can control the behavior of your regular expressions and tailor them to your specific needs.
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