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Debugging

Testing Asynchronous Code

Testing Asynchronous Code

Testing & Debugging

Testing async Python code requires modern tools to handle race conditions and ensure reliability in applications.

Testing Python Functions with Unit Tests

Testing Python Functions with Unit Tests

Functions & Modules in Python

Unit testing helps you verify Python functions work as expected, ensuring code reliability and saving debugging time.

Timeout Exceptions in Python

Timeout Exceptions in Python

Error Handling & Exceptions in Python

Learn how timeouts in Python prevent indefinite hangs by setting time limits on operations, keeping your programs responsive and efficient.

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 Caching for Performance

Using Caching for Performance

Best Practices & Optimization

Boost Python app performance by caching results of expensive computations to reduce execution time and improve responsiveness. Simple to advanced techniques.

Using Logging Levels Effectively

Using Logging Levels Effectively

Best Practices & Optimization

Learn to use Python's logging levels effectively to streamline debugging and gain deeper insights into app behavior across environments.

Writing Meaningful Variable Names

Writing Meaningful Variable Names

Best Practices & Optimization

Meaningful variable names make code easier to read, debug, and maintain, helping both you and others understand your intent.

Writing Testable Code

Writing Testable Code

Best Practices & Optimization

Writing testable code saves debugging time, improves reliability, and ensures easier maintenance.