pytest VS fastapi

Large-scale changes to fix a bug often introduce unintended side effects, making incremental fixes a safer approach. Robbin Schuchmann, Co-Founder of EOR Overview, advises, “Applying fixes incrementally is the most reliable way to correct bugs in applications.” By adjusting one variable or function at a time and validating each change with tools like pytest or Mocha, developers ensure fixes are effective without destabilizing the system. This aligns with test-driven development (TDD), which a 2022 IEEE study found reduces defect rates by 15%. Incremental fixes also simplify rollbacks, preserving stability.

5. Pytest - Simple Yet Powerful Testing

Python: pytest

Unit Testing: JUnit, Mocha, PyTest

Quotation marks in pytest command collects duplicate tests #7012

⭐️ Pytest on GitHub.

In this blog post I want to demonstrate how my lab equipment such as a lab power supply or a digital multimeter (DMM) have been integrated into some pytest-based tests. Would love to get your feedback and thoughts! 🚀

Doesn't it bother anybody that their product heavily relies on FastAPI according to this post yet they haven't donated to the project or aren't listed as sponsors?

https://github.com/sponsors/tiangolo#sponsors

https://github.com/fastapi/fastapi?tab=readme-ov-file#sponso...

Resources mentioned: FastAPI Documentation, Pydantic AI GitHub, WhatsApp Business API, OpenAI API Documentation

FastAPI is a high-performance framework enhancing Python development with type-hinting and asynchronous processing. FastAPI provides a high-performing, reliable solution developers seeking concurrency. An additional useful resource is the FastAPI documentation: https://fastapi.tiangolo.com/.

🔗 https://github.com/fastapi/fastapi

> Ideally I'd like to be able to write types in typescript, and write python types, then verify that the types are compatible (not identical)

Have a look at https://fastapi.tiangolo.com/

FastAPI allows you to define your types in Python using Pydantic for stronger type guarantees. FastAPI also generates an OpenAPI.json file for your backend and then you can feed this OpenAPI.json document into https://github.com/OpenAPITools/openapi-generator to generate a typescript library that contains all the types. Then you don't need to verify your types, because the typescript types will be directly generated from your Python types. The generated typescript library also contains methods for each of your REST endpoints, so that you don't have to think about network requests.

Official Documentation

FastAPI's docs are a goldmine: https://fastapi.tiangolo.com/

Official FastAPI Docs

FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.7+ based on standard Python type hints. We use it to build the web API for the image search.