5. Alternative Methods for Filtering Pandas Rows with Regex
   Import necessary libraries:Create a sample DataFrame:Define your regular expression pattern:The regular expression pattern will be used to match specific strings within the DataFrame columns
6. re.search vs. re.match
   What is re?The re module in Python provides powerful tools for working with text patterns using regular expressions (regex). Regex allows you to create concise and flexible patterns to match specific text sequences within a string
7. Alternative Methods for Filtering Pandas DataFrames by Substring Criteria
   Understanding the Task:DataFrame: A two-dimensional labeled data structure in pandas, similar to a spreadsheet.Substring: A part of a string
8. Python: Splitting Strings with Quotes Using shlex and Regular Expressions
   Split a string into individual elements based on spaces (delimiters).Keep entire quoted substrings together, even if they contain spaces
9. De-mystifying Regex: How to Match Special Characters Literally in Python
   Using Backslashes (\)The most common way to escape characters in a regex string is to use a backslash (\) before the character you want to match literally