headwind VS docker-django-example

Added the tailwind-prettier-plugin as not everyone uses headwind

Headwind is a nice addon for VS Code to sort classes automatically and warn you when using conflicting classes: https://github.com/heybourn/headwind

The one I'm using is Headwind which defines itself as:

Headwind is a nice opinionated sorter which probably can be tweaked to understand our Slim templates but as a VS Code plugin it only works inside this particular IDE. We mostly use JetBrains RubyMine in our team and also needed a CLI version.

If you are worried about property sort order (Tailwind is much more readable if you are) then you can use another tool to deal with that for you: Headwind. This VS Code extension will format your Tailwind classes on save and group them by their function, making sure everything is where you expect it.

Headwind - a VS Code extension that sorts your CSS classes on save

I can suggest taking a look at Tailwind CSS Best Practice Patterns and Robin Malfait's Good Example to get an idea of how that would look like. For consistency, I can also recommend having a convention for class ordering or using headwind as an opinionated class sorter.

There's Headwind CSS, which orders classes predictably. But it doesn't move them to separate lines. This could be a config option if you're willing to write a pull request.

https://github.com/heybourn/headwind

Congrats on the release to the Django community!

If anyone is curious, I updated my Django / Docker starter kit app to use Django 5.0 at: https://github.com/nickjj/docker-django-example

It pulls together gunicorn, Celery, Redis, Postgres, esbuild and Tailwind with Docker Compose. It's set up to run in both development and production.

- https://github.com/nickjj/docker-django-example

For example I edit the regular non-lock file and then run ./run pip3:install from my host which handles the above. A repo with an example Django project in Docker can be found here https://github.com/nickjj/docker-django-example. There's a pip3-install script in the bin/ directory, you can replace that with Poetry commands instead.

Currently, I'm using a modified version of this Docker setup (https://github.com/nickjj/docker-django-example) to work locally and build/deploy a production image. However, using PyCharm as my IDE, the development process is incredibly slow, especially when adding or removing Python packages. It takes at least 3 minutes to rebuild the Docker image after adding a package, and PyCharm has to update its index. Additionally, PyCharm's inspector sometimes gets confused about which packages are already installed based on the requirements.txt.

If anyone is interested I updated my Django / Docker starter project for 4.2: https://github.com/nickjj/docker-django-example

Lots of handy stuff in this Django and Docker example project https://github.com/nickjj/docker-django-example He does a good course about Docker too.

If you're using Docker with a Debian based image you only need to apt install libpq-dev and you're good to go, it only needs to exist in your Docker image not your VPS directly. I've been using it for years. Here's a working example if you want to poke around https://github.com/nickjj/docker-django-example.

On a positive note, I would recommend perhaps looking at https://github.com/nickjj/docker-django-example for a good, somewhat beginner guide for django + docker work.

I put together https://github.com/nickjj/docker-django-example which pulls together a typical Django set up using Gunicorn, Celery, Postgres, Redis, esbuild and Tailwind.