awesome-algorithms
fastapi
awesome-algorithms | fastapi | |
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34 | 469 | |
17,727 | 71,223 | |
- | - | |
3.1 | 9.8 | |
11 days ago | 1 day ago | |
Python | ||
- | 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.
awesome-algorithms
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Anyone interested in contributing to Algorithm opensource with me?
Solved. https://github.com/tayllan/awesome-algorithms
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I didn't go to a IT/CS school, what's the most important concepts i should learn in computer since that will immensely help me as a dev?
This repo.
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Could anyone who purchased and completed Leetcodes's interview crash course "Data Structures and Algorithms" tell me if it's worth the 80 dollars?
I found this with zero effort: https://github.com/tayllan/awesome-algorithms. Just pick one of the courses there if you can't make up your mind.
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Alternative to geeksforgeeks.org ?
https://github.com/tayllan/awesome-algorithms this curated list should be able to help you find more
- Algorithms
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100+ Must Know Github Repositories For Any Programmer
2. Awesome Algorithms
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Karimov's "The Complete Data Structures and Algorithms Course in Python" on Udemy?
Also, GitHub: Awesome algorithms — curated list of resources to learn and/or practice algorithms
- Looking for sources similar to this (linked below) but for CS
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Sorting algorithms visualized using the Blender Python API
See also https://github.com/tayllan/awesome-algorithms for a list of interactive visualizations, learning resources, etc.
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Best books about computer science theory?
Check out TCS, Algorithms, and Math awesome lists.
fastapi
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Github Sponsor Sebastián Ramírez 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?
C - Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
awesome-math - A curated list of awesome mathematics resources
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
fluxsort - A fast branchless stable quicksort / mergesort hybrid that is highly adaptive.
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
crumsort - A branchless unstable quicksort / mergesort that is highly adaptive.
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
xeus-cling - Jupyter kernel for the C++ programming language
Flask - The Python micro framework for building web applications.
SHOGUN - Shōgun
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.