Question 1

How do I choose between mypy and pyright for Python type checking?

Accepted Answer

Mypy is the most established with broad plugin support, while pyright is faster and better for large codebases with VSCode integration. Consider your IDE and project scale, as both are listed with links for further comparison.

Question 2

What's the best way to add type hints to legacy Python code automatically?

Accepted Answer

Tools like monkeytype and pyannotate can infer and add type annotations based on runtime data, making migration easier. The list includes these and other helpers, but you'll need to test them for your specific codebase.

Question 3

Is pydantic or beartype better for runtime type validation?

Accepted Answer

Pydantic excels at data parsing and validation with rich features like dataclass support, while beartype offers O(1) performance for simple checks. Choose based on your need for data handling vs speed.

Question 4

How to set up type checking for Django projects with mypy?

Accepted Answer

Use django-stubs for type annotations and integrate mypy with your IDE. The list includes stubs and articles on type-checking Django, but setup requires manual configuration and testing.

Question 5

Where can I find type stubs for libraries like boto3 or SQLAlchemy?

Accepted Answer

The list includes stub packages like boto3-stubs and sqlalchemy-stubs, which provide type annotations. Install them via pip and configure your type checker to use them for improved static analysis.

Question 6

What are the key PEPs to read for understanding Python typing?

Accepted Answer

Start with PEP 484 for type hints basics and PEP 589 for TypedDict. The list links to all relevant PEPs, but you'll need to read them independently as it doesn't summarize content.

awesome-python-typing

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