flake8-comprehensions
fastapi
flake8-comprehensions | fastapi | |
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2 | 467 | |
462 | 71,023 | |
- | - | |
8.2 | 9.8 | |
8 days ago | 3 days ago | |
Python | Python | |
MIT License | MIT License |
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flake8-comprehensions
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Python toolkits
flake8-comprehensions for writing better list/set/dict comprehensions.
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Found out that using dict() instead of {} has a performance impact. Is there a way to transform every call of dict() to use {} in a automated way? codemod or pre-commit?
Found https://github.com/adamchainz/flake8-comprehensions.
fastapi
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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.
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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.
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FastAPI Got Me an OpenAPI Spec Really... Fast
That’s when I found FastAPI.
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How to Deploy a Fast API Application to a Kubernetes Cluster using Podman and Minikube
FastAPI & Uvicorn
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Analysing FastAPI Middleware Performance
Discussion at FastAPI GitHub: https://github.com/tiangolo/fastapi/issues/2696
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LangChain, Python, and Heroku
An API application framework (such as FastAPI)
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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
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AI-Powered Image Search with CLIP, pgvector, and Fast API
Fast API.
- Ask HN: What is your go-to stack for the web?
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Fun with Avatars: Crafting the core engine | Part. 1
We will create our API using FastAPI, a modern high-performance web framework for building fast APIs with Python. It is designed to be easy to use, efficient, and highly scalable. Some key features of FastAPI include:
What are some alternatives?
flake8-bandit - Automated security testing using bandit and flake8.
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
PEP 8 Speaks - A GitHub :octocat: app to automatically review Python code style over Pull Requests
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
pyupgrade - A tool (and pre-commit hook) to automatically upgrade syntax for newer versions of the language.
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
tensorflow - An Open Source Machine Learning Framework for Everyone
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
Lark - Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.
Flask - The Python micro framework for building web applications.
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.
Django - The Web framework for perfectionists with deadlines.