Django VS fastapi

The Bakery Demo project uses pip from Python for package management, and the Wagtail dot org website uses Poetry. The differences in connecting both were very subtle, with the bakery demo being the easier of the two. The overarching requirement was that you would have cloned the most recent version of Django from its GitHub repository. For the Bakery Demo, you would need a virtual environment and an installation of Django pointing to your local editable version via pip install -e /path/to/django. This virtual environment would contain your Django, editable version of Wagtail, and Bakery Demo website. For a poetry-based installation, modifying the project's pyproject.toml to point to a locally editable version of Django (or mounted volume of it, as in a potential case of containerization)

"settings.py" is your local configuration. The global default is still Chicago:

* https://github.com/django/django/blob/main/django/conf/globa...

Python + Django/Flask (rapid development, lots of libraries)

Tools: ChatGPT (free), Claude, Django, FastAPI, Node.js ChatGPT is great for planning and scaffolding. Claude shines when working with multiple files or complex refactoring. Together, they can spin up routes, models, authentication, and even database setup in record time.

Django framework: a powerful framework for building full-stack websites.

Django MVC done right (and battle-tested)

Django

Django, for example, has a template engine that allows you to define a template in HTML and render it with a context -- data usually sourced from the database via the Django view. However, with its filters and helpers, it is almost too powerful -- undermining the core idea of templating. The same goes for Ember.js, as well.

I am maintaining a Python codebase that is based on Django and Django REST Framework (DRF). The codebase uses Nix for development, testing, CI/CD and packaging.

In the world of Python web development, Django is considered a powerhouse. It is one of the oldest, yet most actively developed web frameworks with a vibrant developer community. Technically speaking, Django is a third-party Python framework for creating web applications that run on a server.

The most sophisticated approach uses type hints and models to automatically generate documentation. FastAPI is the poster child here - it introspects your Pydantic models and function signatures to build comprehensive OpenAPI specs with minimal manual input.

Tools: ChatGPT (free), Claude, Django, FastAPI, Node.js ChatGPT is great for planning and scaffolding. Claude shines when working with multiple files or complex refactoring. Together, they can spin up routes, models, authentication, and even database setup in record time.

FastAPI used to have an emoji-ridden docs page for concurrency. Criticism was not handled well.

This made it clear to me that something about the project is off.

https://github.com/fastapi/fastapi/discussions/6656

Ready to dive deeper? You can read the FastAPI documentation here — it's some of the best technical documentation you'll ever read.

Make your crawler a web service that crawls pages by user request, using FastAPI and following this guide.

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.