A practical guide to Python Dataclasses, covering PEP 557, generated special methods, field(), default values, __post_init__, immutability, comparisons, slots, and practical use cases.
Explore custom validators, model_config, nested models, Annotated, computed_field, discriminated unions, aliases, generics, and Pydantic Settings through a practical order-processing project.
An introduction to Pydantic V2 covering its core concepts, installation with uv, basic models, automatic type validation, and a real-world API payload validation example.
A complete guide to the Git workflow: the three states of a repository, feature branches, merge vs rebase, conflict resolution, and how to fix the most common everyday mistakes.
Understand how async/await works in Python: I/O-bound vs CPU-bound, Event Loop, coroutines, Tasks, concurrency vs parallelism, Semaphore, aiometer, and practical sync vs async examples.
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