Extracting Mails and Numbers

# Introduction In today's data-driven world, the ability to efficiently extract specific information from large datasets is crucial. Bob, a data analyst at a rapidly growing e-commerce company, faces a common challenge: sifting through extensive customer logs to extract valuable insights. The logs contain a mix of numerical data (representing customer IDs and transaction amounts) and email addresses, along with other miscellaneous information. In this challenge, you'll step into Bob's shoes and use regular expressions to extract and organize this vital information. This task is essential for the company's customer relationship management and sales analysis efforts. By mastering these skills, you'll not only help Bob but also equip yourself with powerful data manipulation techniques applicable across various fields in tech.

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