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Testing Frameworks & Debugging

Compare Python and JavaScript testing approaches, master Jest vs pytest, and learn JavaScript debugging techniques

Module 10: Testing Frameworks & Debugging

Learning Objectives

By the end of this module, you will:

  • Compare Python and JavaScript testing frameworks
  • Understand Jest vs pytest differences and similarities
  • Master JavaScript unit testing patterns
  • Learn mocking and stubbing techniques in JavaScript
  • Use JavaScript debugging tools effectively
  • Implement test-driven development (TDD) in JavaScript

Testing Framework Comparison

Python: unittest and pytest

In Python, you're familiar with:

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Key Framework Differences

AspectPython (pytest)JavaScript (Jest)
DiscoveryAuto-discovers test filesAuto-discovers test files
Namingtest_*.py or *_test.py*.test.js or *.spec.js
Assertionsassert or unittest.assert*expect().*
Mockingunittest.mockBuilt-in jest.mock()
Async Testingpytest-asyncioNative async/await support
Fixtures@pytest.fixturebeforeEach/beforeAll

Unit Testing Patterns

Test Structure and Organization

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Mocking and Stubbing

Mocking External Dependencies

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Async Testing

Testing Asynchronous Code

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Debugging Tools and Techniques

Browser DevTools vs Python Debuggers

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Test Coverage and Reporting

Coverage Tools Comparison

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Integration Testing

Testing Application Integration

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Best Practices Summary

Testing Best Practices

  1. Test Structure: Use descriptive test names and organize tests logically
  2. Test Independence: Each test should be independent and repeatable
  3. Coverage: Aim for high test coverage but focus on critical paths
  4. Fast Tests: Keep unit tests fast; use integration tests sparingly
  5. Mock External Dependencies: Isolate units under test
  6. Test Data: Use factories or fixtures for consistent test data

Debugging Best Practices

  1. Use Debugger: Learn to use browser DevTools and Node.js debugger effectively
  2. Console Logging: Use appropriate console methods for different types of output
  3. Error Handling: Implement proper error handling and logging
  4. Source Maps: Use source maps for debugging minified code
  5. Performance: Use performance profiling tools to identify bottlenecks

Next Steps

In the next module, we'll explore build tools and development workflows, covering webpack, Babel, and modern JavaScript tooling compared to Python's setuptools and pip.

Key topics we'll cover:

  • Webpack vs setuptools
  • Babel transpilation
  • Development servers
  • Hot module replacement
  • Production builds and optimization

Continue to Module 11: Build Tools & Development Workflow →