django_for_startups
docker-django-example
django_for_startups | docker-django-example | |
---|---|---|
2 | 44 | |
137 | 1,100 | |
- | - | |
0.0 | 7.8 | |
about 1 year ago | 18 days ago | |
Python | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
django_for_startups
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Django 4.0 Released
> function based views
Class-based views, in their most basic form, are a lot easier to read. E.g. look at the DRF CBVs I have here:
https://github.com/Alex3917/django_for_startups/blob/main/dj...
If you can avoid Generic CBVs (things like ListView) and inheritance, then the only difference between FBVs and CBVs is that CBVs make it easier to see what's a GET / PUT / POST / DELETE.
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Django for Startup Founders: A better software architecture for SaaS startups
No, but all the code for the book is on GitHub: https://github.com/Alex3917/django_for_startups
docker-django-example
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Django 5.0 Is Released
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.
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Working with Docker Containers Made Easy with the Dexec Bash Script
- https://github.com/nickjj/docker-django-example
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What's the correct way to install or version up packages when using Docker and Poetry?
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.
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Docker advantages for a single developer?
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.
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Django 4.2 released
If anyone is interested I updated my Django / Docker starter project for 4.2: https://github.com/nickjj/docker-django-example
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Django Local to Production - FTP or what ?
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.
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psycopg2 in production
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.
- Looking to use Docker & Docker Compose in production and need advice.
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How to Dockerize any Django Application: A Step-by-Step Tutorial
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.
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What is your development cycle when using docker and containers? What's the general flow between developing locally and running the containers to test.
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.
What are some alternatives?
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
Poetry - Python packaging and dependency management made easy
fquery - A graph query engine
Tailwind CSS - A utility-first CSS framework for rapid UI development.
django-zen-queries - Explicit control over database query execution in Django applications
django-async-orm - Bringing Async Capabilities to django ORM
re-frame - A ClojureScript framework for building user interfaces, leveraging React
headwind - An opinionated Tailwind CSS class sorter built for Visual Studio Code
django-extensions - This is a repository for collecting global custom management extensions for the Django Framework.
launchr - Launchr is an open source SaaS starter kit, based on Django.
full-stack-fastapi-template - Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.