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Create Pythonic Course Content
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Module 10
Embrace Clarity: Pythonic Type Hinting
1
Type Hints: Benefits and Strategic Omission
Explain the benefits of type hints (documentation, tooling, static analysis) and when to selectively omit them.
Basic Type Hinting for Variables and Functions
Annotate variables and functions with basic types: `List`, `Dict`, `Optional`, `Union`, `Tuple`, and `Callable`.
3
Duck Typing with Protocols
Use `typing.Protocol` to define interfaces for duck-typed objects without requiring inheritance.
Type-Hinting Dictionaries with `TypedDict`
Use `TypedDict` for specifying the structure of dictionaries with fixed string keys.
5
Gradual Typing with Mypy
Run `mypy` to statically check type annotations and follow an incremental adoption strategy for existing codebases.
`Any`, `Iterable`, and `Sequence` for Robust Function Signatures
Use `Any` as a deliberate escape hatch and distinguish between `Iterable` and `Sequence` for function signatures.
7
TypeVar and Generic for Reusable, Type-Safe Code
Create reusable, type-safe functions and classes using `TypeVar` and `Generic`.
Type Introspection with `isinstance()` and `issubclass()`
Perform runtime type introspection with `isinstance()` and `issubclass()` judiciously.
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Ship with Confidence: Testing, Packaging, and Tooling