pellet
docker-django-example
pellet | docker-django-example | |
---|---|---|
2 | 44 | |
75 | 1,100 | |
- | - | |
2.7 | 7.8 | |
6 months ago | 20 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
pellet
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Django 5.0 Is Released
Simple middleware can warn you about lazy loading/N+1 queries. Most of the time people just forget it happens.
Try using: https://github.com/har777/pellet
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Ban 1+N in Django
Self plug: Checkout https://github.com/har777/pellet to easily find and fix django N+1 issues.
I usually add it to existing integration tests so that they raise exceptions on N+1. If test coverage is low then I would suggest sending the N+1 metrics to something like datadog. That way your users using the product will reveal all the N+1 issues on your monitoring solution.
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-orm-plus
Poetry - Python packaging and dependency management made easy
nplusone - Auto-detecting the n+1 queries problem in Python
Tailwind CSS - A utility-first CSS framework for rapid UI development.
django-auto-prefetching - Automatic prefetching for Django
django-async-orm - Bringing Async Capabilities to django ORM
django-zen-queries - Explicit control over database query execution in Django applications
headwind - An opinionated Tailwind CSS class sorter built for Visual Studio Code
django-seal - Django application providing queryset sealing capability.
launchr - Launchr is an open source SaaS starter kit, based on Django.
bullet - help to kill N+1 queries and unused eager loading
full-stack-fastapi-template - Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.