learn-x-by-doing-y
fastapi
learn-x-by-doing-y | fastapi | |
---|---|---|
7 | 469 | |
1,092 | 71,223 | |
- | - | |
0.0 | 9.8 | |
3 months ago | 1 day ago | |
Python | Python | |
MIT License | 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.
learn-x-by-doing-y
- Learn X by Doing Y
- Rising junior and no projects :/
- Ask HN: Where can one learn about boring web development?
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What're some learning resources and projects for python?
This list is enough, but after you get the basics from one of the above, do a project from https://aquadzn.github.io/learn-x-by-doing-y/
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Cognicull: Knowledge base for mathematics, natural science and engineering
Some other knowledge-graph type projects for comparison:
> Metacademy - "Package Manager for Knowledge" - https://metacademy.org/
> MathLingua - language for easily creating a collection of mathematical knowledge, including definitions, theorems, axioms, and conjectures, in a format designed to be easy and fun to read and write. - https://www.mathlingua.org/
> Learn X in Y minutes - https://learnxinyminutes.com/
> Learn X by doing Y - https://aquadzn.github.io/learn-x-by-doing-y/
Many people are also starting to use the bidirectional-link style of note-taking to create their own knowledge graphs. I'm curious to see what sort of tools will emerge in the future to help people share the graphs they've created.
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I was bored, so I built my own programming language
You see, I really needed something to do. I had been doing a few web related projects on the side and that was something I didn't want to do any more, at least for a while. So I looked into doing something "closer to the metal", something much lower level than sending requests back and forth to a web server. So I quickly fired up Learn X by doing Y and searched for something interesting, eventually ending up on Building your own Lisp (We all have a Lisp phase, it was just my turn).
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Learn X by Doing Y – A project-based learning search engine
Search is good, but if you're like me and would like to just see the list of available projects, it's here
https://github.com/aquadzn/learn-x-by-doing-y/blob/main/proj...
fastapi
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Github Sponsor Sebastián RamĂrez Python programmer
He is probably most well know for creating FastAPI that I taught to some of my clients and Typer that I've never used.
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Python: A SQLAlchemy Wrapper Component That Works With Both Flask and FastAPI Frameworks
It has been an interesting exercise developing this wrapper component. The fact that it seamlessly integrates with the FastAPI framework is just a bonus for me; I didn't plan for it since I hadn't learned FastAPI at the time. I hope you find this post useful. Thank you for reading, and stay safe as always.
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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.
What are some alternatives?
learnxinyminutes-docs - Code documentation written as code! How novel and totally my idea!
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
clojure - The Clojure programming language
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
noteworthy - Markdown editor with bidirectional links and excellent math support, powered by ProseMirror. (In Development!)
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
GNU Emacs - Mirror of GNU Emacs
django-ninja - đź’¨ Fast, Async-ready, Openapi, type hints based framework for building APIs
neuron - Future-proof note-taking and publishing based on Zettelkasten (superseded by Emanote: https://github.com/srid/emanote)
Flask - The Python micro framework for building web applications.
project-based-learning - Curated list of project-based tutorials
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.