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Testing

Testing and Debugging Cheat Sheet

Testing and Debugging Cheat Sheet

Testing & Debugging

Learn to write and run tests with Python's unittest module, plus debugging techniques to ensure robust, reliable code and catch bugs early.

Testing File Handling Code

Testing File Handling Code

Testing & Debugging

Thoroughly test file handling in Python to prevent common bugs like missing files, permission issues, and unexpected formats.

Testing REST API Endpoints

Testing REST API Endpoints

Testing & Debugging

Learn how to test Python REST APIs to ensure endpoints deliver correct data, handle errors, support authentication, and perform well under load.

Understanding Test Suites in Python

Understanding Test Suites in Python

Testing & Debugging

Learn how to organize and run multiple Python tests efficiently with test suites to streamline development and ensure code quality.

Unit Testing Django Forms

Unit Testing Django Forms

Django Framework

Testing Django forms ensures data validation, input cleaning, and integration with models and views, making your applications more reliable and robust.

Using assert Statements Effectively

Using assert Statements Effectively

Testing & Debugging

Learn to use Python's assert statement for debugging and ensuring code reliability. Understand when and how to use it, avoid common mistakes, and distinguish it from raising exceptions.

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 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 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.