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Python Fundamentals: argparse
- argparse is Python's module for parsing command-line arguments, providing help messages, and ensuring argument validity.
- It integrates with key Python tools like mypy, pytest, pydantic, logging, and dataclasses.
- Real-world use cases include FastAPI request handling, async job queues, type-safe data models, CLI tools for data science, and ML preprocessing pipelines.
- Code examples demonstrate defining arguments and validating them using pydantic models.
- Failure scenarios with argparse include incorrect type coercion and unhandled default values.
- Performance tips for argparse include avoiding global state, reducing allocations, caching, and profiling for bottlenecks.
- Security considerations involve insecure deserialization, code injection, and privilege escalation risks.
- Testing strategies encompass unit tests, integration tests, property-based tests, and mypy type validation.
- Common pitfalls include ignoring type hints, complex argument structures, lack of validation, and hardcoding default values.
- Best practices suggest type-safety, separation of concerns, defensive coding, modularity, config layering, and dependency injection.
- argparse is crucial for building reliable and scalable Python systems, emphasizing performance, security, testing, and best practices.
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