Create a Dummy DataFrame in Seconds with Faker | Python Tutorial

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In this video, you'll learn how to generate realistic fake data and load it into a pandas DataFrame using the Python Faker library. This is a perfect way to create test data for your projects, experiments, or demos. We’ll walk through how to create names, emails, addresses, phone numbers, and more—then organize it all in a clean, ready-to-use DataFrame. Great for testing, learning, or showcasing your data work.

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This is great, did not know this existed, will be helpful to be able to work on projects with non-private data, thanks!

michaelreaves