Learn How to Perform Data-Driven Testing in Selenium Python Using PyTest

Data-Driven Testing in Selenium Python | Automate Tests with CSV, Excel & JSON 🚀
Want to execute Selenium tests with multiple sets of data? In this tutorial, we’ll cover how to perform data-driven testing in Selenium Python using CSV, Excel, and JSON files, allowing you to run multiple test scenarios efficiently.

By the end of this guide, you’ll learn how to:
✅ Read test data from CSV, Excel, and JSON files
✅ Use Pandas & OpenPyXL to process Excel data
✅ Run multiple test cases with different inputs dynamically
✅ Generate test reports for data-driven tests

📌 What You'll Learn in This Video:
✅ What is Data-Driven Testing & Why Use It?
✅ How to Read Data from CSV in Selenium Python
✅ Processing Excel Files for Test Automation (pandas, openpyxl)
✅ Loading JSON Data for Parameterized Testing
✅ Executing Multiple Test Cases Dynamically
✅ Generating Test Reports for Data-Driven Execution
✅ Best Practices for Data-Driven Testing in Selenium Python

By the end of this tutorial, you’ll be able to run Selenium tests dynamically with different test data, improving test coverage and efficiency! 🚀

🚀 Why Use Data-Driven Testing in Selenium?
🔹 Avoids Hardcoding Test Data – Easily change test inputs without modifying scripts
🔹 Enhances Test Coverage – Run the same test with multiple data sets
🔹 Saves Time in Automation – Reduces duplicate test cases
🔹 Works with CSV, Excel & Databases – Test with real-world data

🛠 Resources & Code from the Video:

📢 Who Should Watch This Video?
🔹 QA Engineers & Automation Testers
🔹 Developers Writing Selenium Tests
🔹 Testers Automating Data-Driven Test Scenarios
🔹 Anyone Looking to Improve Selenium Test Efficiency

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