flake8-alphabetize
Zappa
flake8-alphabetize | Zappa | |
---|---|---|
2 | 36 | |
16 | 3,089 | |
- | 2.7% | |
3.8 | 7.5 | |
12 months ago | 8 days ago | |
Python | Python | |
MIT No Attribution | 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.
flake8-alphabetize
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My take on the study from MIT that predicts “societal collapse”
You're right that energy ultimately dissipates as heat, but the important thing is what the energy achieves in between hitting the earth as sunlight and then heading off into space as infrared. If you put a solar panel in place to turn the light into electricity and then use that electricity to write a Python plugin for Flake8 https://github.com/tlocke/flake8-alphabetize then maybe you're contributed something to the economy :-)
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Python Best Practices for a New Project in 2021
I think you mean Flake8 rather than Sense8? Anyway, gives me a chance to plug Flake8 Alphabetize, a Flake8 plugin for import ordering https://github.com/tlocke/flake8-alphabetize
Zappa
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Jets: The Ruby Serverless Framework
If people aren't familiar, there's a similar project for Python that's fantastic: https://github.com/zappa/Zappa
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Building serverless websites (lambdas written with python) - do I use FastAPI or plain old python?
Chalice was a consequence, a reaction from AWS to the release of (Zappa Framework)[https://github.com/zappa/Zappa] that provide a very good alternative to migrate very quickly a Django/Flask or any WSGI compliant solution in Python.
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Best way to host Django DRF on AWS? (so many competing options)
Use Zappa https://github.com/zappa/Zappa and host as a Lambda, simple setup and deployment, Lambda only costs when processing requests, no servers to mess around with
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How to deploy a project from git lab backend where I used django on backend and database
One of my favorite options that is probably the most cost-effective is to deploy using a 'severless' model on AWS Lambda using zappa which supports deploying Python webapps to AWS in this way. Zappa also makes it super easy to deploy in just a couple commands! The README includes instructions for everything you might need, including handling sensitive information like your database passwords, running django management commands, setting up DNS, etc.
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I’m a Brazilian salesforce developer and want to work with django stack. Any tips?
Deployment works nicely with Docker. I often use AWS AppRunner because it's really easy and just scales. Some people use AWS Lambda with Zappa but I don't recommend it unless you really want to spend less than $15 a month. You will probably need Django Storages to save uploads to an S3 bucket. At some stage you might want to put a CloudFront distribution in front of everything but the configuration of the caching behaviour might be a bit confusing when you do it the first time.
- lambda API deployment
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Why or why not use AWS Lambda instead of a web framework for your REST APIs? (Business projects)
It doesn't have to be an either-or! I have several apps in production that were developed on Django or Flask, and deployed to Lambda using Zappa.
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Backend Server with Django Rest API
If you need a relational DB, you can use AWS Aurora or RDS and use cloud functions ('lambda' in AWS) that you can invoke with HTTP to process the document first. Zappa will do a lot of the configuration for you if you go that route.
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Easiest/Best way to deploy django to AWS?
Lambda + API gateway, this library bundles a Django application into a lambda https://github.com/zappa/Zappa . 1 million free invokes from aws, scale to zero, plugs into your RDS
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We clone a running VM in 2 seconds
I use Zappa, it just schedules a frequent execution of the lambda: https://github.com/zappa/Zappa#keeping-the-server-warm
What are some alternatives?
pydantic - Data validation using Python type hints
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
flynt - A tool to automatically convert old string literal formatting to f-strings
mangum - AWS Lambda support for ASGI applications
pyright - Static Type Checker for Python
chalice - Python Serverless Microframework for AWS
template-python-hello-world - :triangular_ruler: Python Hello World | Minimal template for Python development
Poetry - Python packaging and dependency management made easy
helm - The Kubernetes Package Manager
aws-sqs-jobs-processer - Serverless jobs processor on AWS
conda - A system-level, binary package and environment manager running on all major operating systems and platforms.
sample-django-docker - A sample of using Django with Docker and docker-compose