erg
docker-django-example
erg | docker-django-example | |
---|---|---|
17 | 44 | |
2,582 | 1,100 | |
2.7% | - | |
9.8 | 7.8 | |
6 days ago | 18 days ago | |
Rust | Python | |
Apache License 2.0 | 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.
erg
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Pylyzer – A fast static code analyzer and language server for Python
Looking through the code, Pylyzer seems to be a thin wrapper around Erg [1]. To typecheck, it converts your Python AST to an Erg AST, then runs its through the Erg typechecker and returns the errors.
Faster typechecking for Python is very much needed. But this project seems like it was built in a hackathon —- it is not a true standalone typchecker.
[1] https://github.com/erg-lang/erg
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This Week in Python
erg – A Python-compatible statically typed language
- erg: A Python-compatible statically typed language
- erg: A Python-compatible statically typed language written in Rust
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Erg: a Python-Compatible Statically Typed Language
I have been developing a programming language for a few years and this week I published it on GitHub.
- Erg: A Python-compatible statically typed language
- GitHub - erg-lang/erg: A Python-compatible statically typed language
- Erg: a statically typed language that is Python compatible
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?
pyxel - A retro game engine for Python
Poetry - Python packaging and dependency management made easy
pytype - A static type analyzer for Python code
Tailwind CSS - A utility-first CSS framework for rapid UI development.
nimpy - Nim - Python bridge
django-async-orm - Bringing Async Capabilities to django ORM
libtmux - ⚙️ Python API / wrapper for tmux
headwind - An opinionated Tailwind CSS class sorter built for Visual Studio Code
cats-effect - The pure asynchronous runtime for Scala
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.