docker-django-example
fastapi
docker-django-example | fastapi | |
---|---|---|
44 | 470 | |
1,105 | 71,223 | |
- | - | |
7.8 | 9.8 | |
25 days ago | 5 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.
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.
docker-django-example
-
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.
-
Working with Docker Containers Made Easy with the Dexec Bash Script
- https://github.com/nickjj/docker-django-example
-
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.
-
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.
-
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
-
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.
-
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.
-
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.
-
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.
fastapi
-
Github Sponsor Sebastián Ramírez Python programmer
He is probably most well know for creating FastAPI that I taught to some of my clients and Typer that I've never used.
-
Python: A SQLAlchemy Wrapper Component That Works With Both Flask and FastAPI Frameworks
It has been an interesting exercise developing this wrapper component. The fact that it seamlessly integrates with the FastAPI framework is just a bonus for me; I didn't plan for it since I hadn't learned FastAPI at the time. I hope you find this post useful. Thank you for reading, and stay safe as always.
-
FastAPI Best Practices: A Condensed Guide with Examples
FastAPI is a modern, high-performance web framework for building APIs with Python, based on standard Python type hints.
-
Building an Email Assistant Application with Burr
In this tutorial, I will demonstrate how to use Burr, an open source framework (disclosure: I helped create it), using simple OpenAI client calls to GPT4, and FastAPI to create a custom email assistant agent. We’ll describe the challenge one faces and then how you can solve for them. For the application frontend we provide a reference implementation but won’t dive into details for it.
-
FastAPI Got Me an OpenAPI Spec Really... Fast
That’s when I found FastAPI.
-
How to Deploy a Fast API Application to a Kubernetes Cluster using Podman and Minikube
FastAPI & Uvicorn
-
Analysing FastAPI Middleware Performance
Discussion at FastAPI GitHub: https://github.com/tiangolo/fastapi/issues/2696
-
LangChain, Python, and Heroku
An API application framework (such as FastAPI)
-
Litestar – powerful, flexible, and highly performant Python ASGI framework
It’s been my experience that async Python frameworks tend to turn IO bound problems into CPU bound problems with a high enough request rate, because due to their nature they act as unbounded queues.
This ends up made worse if you’re using sync routes.
If you’re constrained on a resource such as a database connection pool, your framework will continue to pull http requests off the wire that a sane client will cancel and retry due to timeouts because it takes too long to get a connection out of the pool. Since there isn’t a straightforward way to cancel the execution of a route handler in every Python http framework I’ve seen exhibit this problem, the problem quickly snowballs.
This is an issue with fastapi, too- https://github.com/tiangolo/fastapi/issues/5759
-
AI-Powered Image Search with CLIP, pgvector, and Fast API
Fast API.
What are some alternatives?
Poetry - Python packaging and dependency management made easy
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
Tailwind CSS - A utility-first CSS framework for rapid UI development.
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
django-async-orm - Bringing Async Capabilities to django ORM
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
headwind - An opinionated Tailwind CSS class sorter built for Visual Studio Code
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
launchr - Launchr is an open source SaaS starter kit, based on Django.
Flask - The Python micro framework for building web applications.
full-stack-fastapi-template - Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.