Scraping data from a real website and create a DataFrame from in - another source for your dataset

Regular expressions (regex) are a powerful tool for matching, searching, and manipulating text based on patterns. They allow you to quickly find, validate, or extract specific pieces of information from large amounts of text, making them invaluable for tasks like data validation, text processing, and automation.​ Why Regex is Useful - Efficiency: Regex can process and filter large datasets much faster than manual string operations, especially for repetitive or complex patterns.​ - Versatility: They work across many programming languages and are widely used for validating inputs (like emails or phone numbers), searching within files, and replacing text.​ - Automation: Regex helps automate tedious tasks such as cleaning up data, extracting specific information, or ensuring user input follows a required format.​ - Consistency: The syntax is consistent across languages, so once you learn regex, you can use it in Python, JavaScript, PHP, and more.​ Practical Examples - Validating that an email address or phone number is correctly formatted before storing it in a database.​ - Searching through log files to find specific error messages or patterns.​ - Replacing all instances of a word or pattern in a document or codebase.

Hello, I am afraid I lost the class information email. Can someone share the the info (link, class code) of the google class again here please? :) Thanks

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