bx-python-libraries-to-use

For handling HTTP requests in Python projects, the recommended standard is `httpx` instead of `requests`. This ensures modern features and better performance while maintaining consistency across your codebase.

To standardize JSON serialization in Python, enforce the use of `orjson` for handling JSON data. This establishes a clear library selection policy that prevents reinventing the wheel and ensures efficient data processing.

For data validation and modeling in Python, you should use `pydantic`. It is the preferred standard for enforcing data schemas, ensuring consistency and avoiding redundant implementations across your projects.

To set up logging and configuration consistently, follow the standardized library usage guidelines. These provide specific patterns and examples for implementing preferred libraries, ensuring your project maintains a clear hierarchy for logging choices.

Yes, the Python library selection policy covers testing dependencies. It provides a clear hierarchy for choosing libraries across various categories including testing, ensuring you enforce preferred tools and avoid anti-patterns.

You should use `httpx` over `requests` to gain modern features and better performance. Standardizing on `httpx` enforces preferred tools and ensures consistency, avoiding redundant implementations when starting new Python projects.