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• RE (Regular Expression)

The re library is an essential tool for text processing and manipulation in Python, especially when dealing with complex patterns or structured data.

• Define regular expressions: You can create regular expressions to match specific patterns in strings.
• Search strings: You can search for patterns within strings using regular expressions.
• Perform pattern matching: You can use regular expressions to extract specific parts of strings that match a pattern.
• Replace text: You can use regular expressions to find and replace patterns within strings.

• Run using Jupyter NoteBook or any Python IDE.

We don't need to install any additional libraries to run the provided code. The code only uses standard libraries that come pre-installed with Python.