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Source channel @githubtrending · Post #14828 · Jun 16

#python#python#redis#redis_client#redis_cluster#redis_py Redis-py lets you connect your Python programs to Redis, a fast in-memory database, making it easy to store and retrieve data quickly. You can install it with a simple command, and it works with the latest Redis versions. It supports advanced features like connection pools, pipelines for faster operations, and pub/sub for real-time messaging. Using Redis with Python helps your applications run faster, handle more users, and process data in real time, all while reducing the load on your main database[1][3][5]. https://github.com/redis/redis-py

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@githubtrending · Post #14761 · 05/29/2025, 01:00 PM

#python#api#async#asyncio#fastapi#framework#json#json_schema#openapi#openapi3#pydantic#python#python_types#python3#redoc#rest#starlette#swagger#swagger_ui#uvicorn#web FastAPI is a modern Python web framework for building fast, reliable APIs that is easy to learn and quick to code, making it ready for production use right away. It uses standard Python type hints, which means you get automatic data validation, fewer bugs, and great editor support with code completion and type checks. FastAPI also generates interactive documentation automatically, so you and your team can understand and test your API easily. The main benefit is that you can develop robust, high-performance APIs much faster and with less effort, while reducing errors and making your code easier to maintain[1][2][3]. https://github.com/fastapi/fastapi