Category: Python

Create lazy sequences with yield for memory-efficient iteration.

Wrap functions with decorators to add logging, timing, or auth checks.

Manage setup/teardown safely with with statements and contextlib.

Annotate functions and variables with type hints for clarity and tooling support.

Generate boilerplate classes for data containers with @dataclass.

Consume and design APIs so Python apps can exchange JSON data over HTTP.

Reuse and extend class behavior by inheriting from parent classes.

Call the same method name on different objects and get type-specific behavior.

Protect internal state using naming conventions and properties.

Serialize and parse JSON with the json module for APIs and config files.