docker-django-example
cookiecutter-django
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docker-django-example | cookiecutter-django | |
---|---|---|
44 | 55 | |
1,093 | 11,518 | |
- | 1.1% | |
7.9 | 9.8 | |
about 1 month ago | about 8 hours ago | |
Python | Python | |
MIT License | BSD 3-clause "New" or "Revised" 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
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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.
cookiecutter-django
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falco VS cookiecutter-django - a user suggested alternative
2 projects | 26 Jan 2024
Falco, in contrast to cookiecutter-django, aims to enhance the Django developer experience beyond project generation. It provides a CRUD generator and guides on various Django topics such as task queues, multitendency, deployment, realtime, etc.
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Advanced Python/Django tutorial that ties together multiple technologies
It's not a tutorial but it's a resource to generate a Python+Django project with celery and Dockerfiles and other things you mentioned : https://github.com/cookiecutter/cookiecutter-django
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Setting up Django in a Better Way in 5 Minutes and Understanding How It Works
There are very useful packages for bootstrapping your Django projects in minutes such as django-cookiecutter and djangox. If you are a seasoned developer I'd highly recommend using one of these instead of what I'm going to show here. But if you are struggling with the project structure of these packages as a beginner to intermediate Django developer and looking to structure your own Django projects in a better way, I have created a lightweight setup that deals with the basics of setting up a Django project with PostgreSQL as database and TailwindCSS as our styling library.
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A lightweight cookiecutter template for Django - focused specifically on building APIs
And so, the idea for cookiecutter-django-lite came into existence. I am an absolute fan of https://github.com/cookiecutter/cookiecutter-django - but for a lot of use cases this template is an overkill so I thought a barebones version of this will be superuseful - and that's how the idea of cookiecutter-django-lite was born.
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Template for Django Projects
Consider taking a look at cookiecutter to generate projects from templates. There is also cookiecutter-django. As for your environment variables you should have an example .env file containing all the environment variables required by your project (without setting them) that can be safely pushed into your repository for you and other developers to copy into the actual .env file that'll be used by your project (add this file to .gitignore)
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Django SaaS Package
I'm obviously biased, so take what I say with a grain of salt, but I also probably know more about this space than ~anyone else. I'd say that your characterization is pretty accurate. There are many similar products to Pegasus (you can find a pretty comprehensive list here: https://github.com/smirnov-am/awesome-saas-boilerplates) but most of them are either more focused on infrastructure/setup (e.g. cookiecutter-django or - as you noted - far less mature/maintained (most of the others on that list).
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Need help deploying my first project.
I followed a lot of the guidance found in this "template" here: https://github.com/cookiecutter/cookiecutter-django
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Where from to start building project?
If you understand all that and just want to get started as quickly as possible, use a project generator such as cookiecutter-django or API Bakery. Note that I'd avoid using these until you have a solid grasp of Django otherwise you'll have no idea what's going on.
- Is there an easy approach of deploying Celery?
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What's the most htmx-ish language for the server side?
Boilerplate is not in opposition to productivity. Especially when itβs all written for you, as it is in Django, Rails, etc. You can start with something like Cookiecutter Django.
What are some alternatives?
Poetry - Python packaging and dependency management made easy
django-ninja - π¨ Fast, Async-ready, Openapi, type hints based framework for building APIs
Tailwind CSS - A utility-first CSS framework for rapid UI development.
pegasus-example-apps - Example apps for Saas Pegagus (saaspegasus.com)
django-async-orm - Bringing Async Capabilities to django ORM
budibase - Budibase is an open-source low code platform that helps you build internal tools in minutes π
headwind - An opinionated Tailwind CSS class sorter built for Visual Studio Code
django-tailwind - Django + Tailwind CSS = π
launchr - Launchr is an open source SaaS starter kit, based on Django.
cookiecutter-django-ecs-github - Complete Walkthrough: Blue/Green Deployment to AWS ECS using Cookiecutter-Django using GitHub actions
full-stack-fastapi-template - Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.
cookiecutter - A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.