#fastapi

#fastapi

Augment Code's new guide features real frameworks to lead your engineering team to systematic transformation: 30% faster PR velocity, 40% reduction in merge times, and 10x task speed-ups across teams. Learn from CTOs at Drata, Webflow, and Scout's local MCP server lets your AI assistant query real Python telemetry. Call endpoints like get_app_error_groups or get_app_endpoint_traces to surface top errors, latency, and backtraces-no dashboards, Brett came across an unexpected typing error when using Pyrefly on his code.

Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects. We discuss a recent Real Python step-by-step tutorial about programming a FastAPI example application. You practice installing FastAPI, building your first endpoints, adding path and query parameters, and validating endpoints using Pydantic. Christopher covers updates to his Real Python video course about concurrency in Python.

Building a UI in Python usually means choosing between "quick and limited" or "powerful and painful." What if you could write modern, component-based web apps in pure Python and still keep full control? NiceGUI, pronounced "Nice Guy" sits on FastAPI with a Vue/Quasar front end, gives you real components, live updates over websockets, and it's running in production at Zauberzeug, a German robotic company. On this episode, I'm talking with NiceGUI's creators, Rodja Trappe and Falko Schindler, about how it works, where it shines,

Asyncpg is the connector for PostgreSQL and asyncio-flavored Python. Here's how to use it without other libraries on FastAPI and Air projects. Recently I've been on a few projects using PostgreSQL where SQLAlchemy and SQLModel felt like overkill. Instead of using those libraries I leaned on writing SQL queries and running those directly in [asyncpg](https://pypi.org/project/asyncpg/) instead of using an ORM powered by asyncpg. Here's how I got it to work

Using Streamlit allowed me to build a fast and efficient frontend without leaving the comfort of Python, leveraging its data-centric features effectively.