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Computer Science
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Python Testing
1. Fundamentals of Software Testing
2. Python Testing Environment Setup
3. The unittest Framework
4. The pytest Framework
5. Test Design and Best Practices
6. Mocking, Patching, and Test Doubles
7. Advanced Testing Techniques
8. Testing Specific Application Types
9. Test Automation and Continuous Integration
10. Code Coverage
11. Security-Oriented Testing
12. Test Data Management
13. Debugging and Troubleshooting Tests
14. Performance and Optimization
Advanced Testing Techniques
Property-Based Testing
Introduction to Hypothesis
Philosophy and Use Cases
Generative Testing Concepts
Writing Hypothesis Strategies
Built-in Strategies
Custom Strategies
Composite Strategies
Integrating with pytest
Using Hypothesis Decorators
Combining with Other Fixtures
Hypothesis Configuration
Shrinking and Debugging
Minimal Failing Examples
Debugging Property Tests
Testing Concurrent and Asynchronous Code
Challenges of Concurrency Testing
Race Conditions
Non-Determinism
Timing Issues
Testing asyncio Applications
Writing Async Test Functions
Using Event Loops in Tests
Async Context Managers
Using pytest-asyncio
Installing and Configuring
Marking Async Tests
Async Fixtures
Testing Threading Code
Thread Safety Testing
Synchronization Primitives
Mutation Testing
Concept and Purpose
Detecting Weak Tests
Mutation Operators
Test Quality Assessment
Using mutmut
Running Mutation Tests
Interpreting Results
Improving Test Suites
Performance Testing
Benchmarking with pytest-benchmark
Performance Regression Testing
Statistical Analysis
Load Testing Concepts
Stress Testing
Scalability Testing
Snapshot Testing
Concept and Applications
Output Verification
Regression Detection
Implementation Strategies
File-Based Snapshots
Approval Testing
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8. Testing Specific Application Types