Introduction:

Generating fake data is useful for testing applications, populating databases, and creating realistic sample datasets. The Faker module in Python provides an easy way to generate fake names, addresses, emails, and much more.

This guide will walk you through the process of installing and using Faker to generate different types of fake data. What you will learn from this post:

• basic understanding of Faker Module
• how to generate fake data using Faker module/li>
• how to export that fake data into CSV, XLSX, Json format

Requirements:

• python3
• random
• Faker
• json
• csv
• openpyxl

Install required dependencies :

• clone or download it from here
• install requirements.txt file
• pip install -r requirements.txt

How to run this code

• Python3 main.py

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