Data-driven testing is a software testing methodology where test data is separated from test scripts. This allows you to perform the same set of actions on multiple sets of data, making your tests more reusable and easier to maintain. In Selenium with Python, you can implement data-driven testing using libraries like ‘unittest’ or ‘pytest’ along with data sources like CSV, Excel, or databases.

Data-driven testing in Selenium Python using data from an Excel sheet can be achieved using libraries like openpyxl. Below is a simple example demonstrating how you can perform data-driven testing for customer login functionality using multiple input values from an Excel sheet:

Example
pip install openpyxl

import openpyxl
from selenium import webdriver
from selenium.webdriver.common.by import By

Load Excel file

excel_path = ‘path/to/your/excel_file.xlsx’
workbook = openpyxl.load_workbook(excel_path)
sheet = workbook.active

Initialize WebDriver

driver = webdriver.Chrome(‘path/to/chromedriver’)

Function to perform login

def perform_login(username, password):
driver.get(‘your_login_page_url’)

# Fill in login form
driver.find_element(By.ID, 'username').send_keys(username)
driver.find_element(By.ID, 'password').send_keys(password)
driver.find_element(By.ID, 'login-button').click()

Iterate through rows in the Excel sheet and perform login

for row in sheet.iter_rows(min_row=2): # Assuming data starts from the second row
username = row[0].value
password = row[1].value

# Perform login using the data from the Excel sheet
perform_login(username, password)

# Add verification steps/assertions for successful login here
    # Optionally, capture screenshots or perform other actions after login

Close the WebDriver

driver.quit()

You can customize this script to match the structure of your application and the specifics of your test data. This is just a basic example to demonstrate the concept of data-driven testing in Selenium with Python.

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