docker-django-example
cookiecutter
docker-django-example | cookiecutter | |
---|---|---|
44 | 56 | |
1,097 | 21,618 | |
- | 0.6% | |
7.8 | 8.7 | |
16 days ago | about 14 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
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Ask HN: How do you bootstrap your software projects?
Sometimes I use this to abstract boilerplate https://github.com/cookiecutter/cookiecutter
It can use a repo as a template.
It supports some interactive questions to choose options but mostly it is jinja templates.
Having libraries would be another option.
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FastStream: Python's framework for Efficient Message Queue Handling
Install the cookiecutter package using the following command:
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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)
- Rmarkdown/Github project organization question
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Python Cookiecutter: Streamline Template Projects for Enhanced Developer Experience
The Python Cookiecutter library revolutionizes project development by offering streamlined approach to creating template projects and improving developer experience.
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What do you use to generate Terraform/Grunt files at scale?
We use cookie cutter templates (the Python project, https://github.com/cookiecutter/cookiecutter ), we prompt for the module & version etc
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A Python package that has a basic app setup inside it
Why not use cookiecutter or a similar tool designed for making these sorts of project templates?
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Sub library with useful code
Is it common? I don't know. Is it useful? Absolutely. There is a tool called cookiecutter that allows you to define your own setup. For example, my cookiecutter setup for a python library is here. You can see what it's like by first installing the cookiecutter cli and then running
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New tool: Souce code generator from a given template
Also cookiecutter.
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Introducing Visual Cookiecutter: a web UI for instanciating cookiecutter templates
Visual Cookiecutter enhances the functionality of cookiecutter by offering unique features such as required fields, conditional input parameters, optional descriptions, and the ability to fix mistakes easily. This package seamlessly integrates with cookiecutter so that all existing templates work out-of-the-box.
What are some alternatives?
Poetry - Python packaging and dependency management made easy
copier - Library and command-line utility for rendering projects templates.
Tailwind CSS - A utility-first CSS framework for rapid UI development.
Jinja2 - A very fast and expressive template engine.
django-async-orm - Bringing Async Capabilities to django ORM
backstage - Backstage is an open platform for building developer portals
headwind - An opinionated Tailwind CSS class sorter built for Visual Studio Code
try - Dead simple CLI tool to try Python packages - It's never been easier! :package:
launchr - Launchr is an open source SaaS starter kit, based on Django.
bashplotlib - plotting in the terminal
full-stack-fastapi-template - Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.
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