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48 lines
2.6 KiB
Markdown
48 lines
2.6 KiB
Markdown
# Python Language Prompt Snippet
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## Key Concepts
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- **Decorators**: Functions that wrap other functions or classes using `@decorator` syntax
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- **List/Dict Comprehensions**: Concise syntax for creating collections from iterables
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- **Generators and Yield**: Lazy iterators using `yield` for memory-efficient data processing
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- **Context Managers**: `with` statement for resource management via `__enter__`/`__exit__`
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- **Type Hints and Typing Module**: Optional static type annotations for tooling and documentation
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- **Dunder Methods**: Special methods like `__init__`, `__repr__`, `__eq__` defining object behavior
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- **Metaclasses**: Classes that define how other classes are created (type as default metaclass)
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- **Dataclasses**: `@dataclass` decorator auto-generating boilerplate from field annotations
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- **Protocols**: Structural subtyping via `typing.Protocol` for duck-type-safe interfaces
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- **Descriptors**: Objects defining `__get__`, `__set__`, `__delete__` to customize attribute access
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- **Async/Await with Asyncio**: Cooperative concurrency using coroutines and an event loop
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## Import Patterns
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- `from module import name` — import specific name from module
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- `import module` — import entire module, access via `module.name`
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- `from package.module import name` — absolute import from nested package
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- `from . import relative` — relative import within a package
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## File Patterns
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- `__init__.py` — package initializer (barrel equivalent), can re-export public API
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- `__main__.py` — package entry point when run with `python -m package`
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- `conftest.py` — pytest shared fixtures and hooks (auto-discovered)
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- `setup.py` / `pyproject.toml` — project configuration and build metadata
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- `requirements.txt` — pinned dependency list
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## Common Frameworks
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- **Django** — Full-stack web framework with ORM, admin, and batteries included
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- **FastAPI** — Modern async API framework with automatic OpenAPI docs
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- **Flask** — Lightweight WSGI micro-framework for web applications
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- **SQLAlchemy** — SQL toolkit and ORM with unit-of-work pattern
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- **Celery** — Distributed task queue for background job processing
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- **Pydantic** — Data validation and settings management using type annotations
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## Example Language Notes
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> Uses `@dataclass` decorator to auto-generate `__init__`, `__repr__`, and `__eq__` from
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> field annotations. This eliminates boilerplate while keeping the class definition
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> readable and the generated methods consistent.
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> When `__init__.py` re-exports symbols, it acts as the package's public API surface —
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> consumers import from the package rather than reaching into internal modules.
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