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Reliability

Introduction to Testing in Python

Introduction to Testing in Python

Testing & Debugging

Testing ensures code reliability in Python, helping catch bugs early, maintaining features, and enabling confident refactoring as projects grow.

Load Testing Python Applications

Load Testing Python Applications

Testing & Debugging

Load testing helps Python apps handle real traffic by simulating stress to ensure reliability and performance under pressure.

Mocking Database Calls in Flask Tests

Mocking Database Calls in Flask Tests

Flask Framework

Mocking database calls in Flask tests speeds up execution, improves isolation, and removes dependency on the database state, making tests more reliable.

Testing Classes in Python

Testing Classes in Python

Testing & Debugging

Testing Python classes ensures correct initialization, method behavior, and predictable object interactions for reliable and maintainable code.

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 Web Scrapers

Testing Web Scrapers

Testing & Debugging

Test web scrapers with unit and integration tests to ensure reliability, handle website changes, and prevent silent failures or incorrect data.

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.

Writing Testable Code

Writing Testable Code

Best Practices & Optimization

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