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Testing

Using Faker Library for Dummy Data

Using Faker Library for Dummy Data

Libraries & Frameworks

Faker is a Python library for generating realistic fake data like names, addresses, and text, useful for testing and development when real data isn't available.

Using headless browsers for testing

Using headless browsers for testing

Testing & Debugging

Headless browser testing enables fast, efficient web automation without a GUI. Learn how to use Python tools for streamlined, resource-light automated testing in this guide.

Using pytest-django for Django Projects

Using pytest-django for Django Projects

Testing & Debugging

Upgrade from Django tests to pytest-django: more powerful, flexible, and enjoyable testing for your Django projects.

Using pytest Framework for Testing

Using pytest Framework for Testing

Testing & Debugging

Learn how to use pytest, a powerful Python testing framework for efficient and expressive test writing.

Using Selenium for Browser Automation

Using Selenium for Browser Automation

Automation & Scripting

Selenium is a Python tool for automating browser tasks, ideal for developers and testers to streamline web workflows and reduce manual effort.

Using SQLite for Testing

Using SQLite for Testing

Testing & Debugging

Learn how to use SQLite—a lightweight, serverless database—to streamline testing for applications that interact with databases, ensuring queries and transactions work correctly.

Using timeit for Benchmarking

Using timeit for Benchmarking

Best Practices & Optimization

Use Python's built-in timeit module for accurate, reliable benchmarking by running code multiple times to minimize system noise and deliver precise performance measurements.

Using unittest.mock Module

Using unittest.mock Module

Testing & Debugging

The unittest.mock module in Python helps isolate code for testing by replacing dependencies with mock objects, simplifying testing of complex interactions.