full-stack-fastapi-template

I was a diehard Flask fan for years until I finally decided to try FastApi. Wish I switched sooner. Free swaggerdocs is pretty nice, and dependencies get rid of so much code duplication. A good starter to mess around in is this project https://github.com/tiangolo/full-stack-fastapi-postgresql

I wouldn't overthink this, no ones expecting a new hire to instantly pick up the codebase. You mentioned you only got generic advice from the other developer, did you ask generic questions? It's difficult to answer vague questions. Most importantly I wouldn't extrapolate your experience at this company to sweeping generalizations about how smart you are - there's close to 0 correlation. Just focus on breaking down problems into manageable chunks. I can't emphasize this enough. As for FastAPI specifically I'd check out the sample postgresql project tiangalo made, it's incredibly well put together. [1] https://github.com/tiangolo/full-stack-fastapi-postgresql

I like that following the idiomatic pydantic/data class style in the fastapi docs really forces you down the OOP rabbit hole and puts some guardrails around your architecture (unlike flask, where you’re free to shoot yourself in the foot however you want). What I don’t like is that fastapi gives the appearance of being batteries included, but the docs on the batteries tend to just point to example projects/templates that a beginner will look at and think omgwtf is all this shit (e.g. https://github.com/tiangolo/full-stack-fastapi-postgresql)

I hear you because I needed the same, with absolutely no experience in web apps. Please listen to other comments first. If this does not help: I used github.com/tiangolo/full-stack-fastapi-postgresql - it is a Docker-Stack that can be deployed through Gitlab CI on Docker Swarm. Not that I had any experience in these systems - but it directly worked and I had a Progressive Web App (PWA) with CRUD, SSL certs, Queue, Reverse Proxy and everything with it in one day. This thing still runs after 2 years.

Re #1, I haven't used it before but there is https://github.com/tiangolo/full-stack-fastapi-postgresql Looks like it includes the kind of admin dashboard you'd get with Django.

I'm glad you're liking FastAPI! You could check the official project generator, it includes a simple Vue.js front end: https://github.com/tiangolo/full-stack-fastapi-postgresql Although I'm currently using React with TypeScript and hooks, and it's a great development experience. I plan on adding it to the project generator later.

We are using FastAPI in production. Some useful links: - Cookiecutter: https://github.com/tiangolo/full-stack-fastapi-postgresql - Cache: https://github.com/comeuplater/fastapi_cache

IMO, Async Python frameworks have been proliferated in the era of AI research projects gaining popularity. Some of these AI researchers who know Python already while working on AI frameworks like pytorch would utilize some of these async python frameworks with cookiecutter [1][2][3][3], which helps many others to quickly spin up a backend api for an AI application, in the names of "fast", both in terms of setup and in terms of responding to requests. [1]: https://github.com/tiangolo/fastapi [2]: https://github.com/tiangolo/full-stack-fastapi-postgresql [3]: https://github.com/tiangolo/uvicorn-gunicorn-fastapi-docker

Exactly what I was thinking. Plus the fact it is built on top of Starlette and Uvicorn and is frequently among the top of benchmarks of python based framework performance. Fairly complete starter projects. https://github.com/tiangolo/full-stack-fastapi-postgresql/bl...

Yep, there are a couple of project generators, including Docker integration, Celery, a simple frontend, load balancer with HTTPS etc. In two flavors: * With PostgreSQL and SQLAlchemy: https://github.com/tiangolo/full-stack-fastapi-postgresql * With Couchbase: https://github.com/tiangolo/full-stack-fastapi-couchbase