Mastering fake business data creation in Python with Faker

Fake Data Harvesting for Real Business Scenarios

Sometime while working on real business scenarios you need actual business data and either you don't have the data or data is just not enough. And there where Faker comes to the rescue...

Faker is a Python package that generates fake data for you. Whether you need to bootstrap your database, create good-looking XML documents, fill-in your persistence to stress test it, or anonymize data taken from a production service, Faker is for you.

This tutorial gives you the basics of getting started with Faker in Python and shows how you can use standard and community or 3rd party providers to generate fake data and then load in into the Pandas DataFrame.

Github Source code: https://github.com/prodramp/python-projects/tree/main/Faker

▬▬▬▬▬▬ ⏰ TUTORIAL TIME STAMPS ⏰ ▬▬▬▬▬▬

• (00:00) Tutorial Introduction
• (02:00) Faker Library Intro
• (04:30) Standard Faker Providers
• (04:51) Fake user profile data
• (07:29) Fake Company Data
• (08:18) Fake Credit Card Data
• (10:26) Fake Person Info
• (11:20) Geo Data
• (12:56) Currency Data
• (13:30) Fake File Data
• (14:48) Fake Python Data
• (16:45) Fake SSN
• (17:19) Community Providers
• (17:33) Fake Vehicle data
• (19:05) Fake Credit Score Data
• (20:05) Fake Travel and airport data
• (21:36) Fake Datetime Data
• (23:58) Creating fake user profiles and load into Pandas
• (29:39) Recap

Please visit:

• Prodramp LLC | https://prodramp.com | @prodramp
• https://www.linkedin.com/company/prodramp

Content Creator: Avkash Chauhan (@avkashchauhan)

• https://www.linkedin.com/in/avkashchauhan

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