locklib
think-async
locklib | think-async | |
---|---|---|
1 | 4 | |
18 | 223 | |
- | - | |
8.8 | 7.8 | |
about 2 months ago | 4 months 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.
locklib
think-async
-
Think Async: Resources for Exploring Different Concurrency Paradigms in Python
Lately, at my workplace, I've been doing a lot of asynchronous I/O programming in Python. In my case, ironically, I picked up Golang faster than Python's async paradigm despite Python being my primary language. Coroutine chauffeured asynchronous programming demanded a substantial shift in the way I used to compose solutions in synchronous Python.
However, after successfully writing two services using asyncio, SQS, DynamoDB, and aiobotocore—I'm convinced that this is actually worth it. Here're a few resources that I've found helpful along the way. Pull requests are very much welcome.
https://github.com/rednafi/think-async
- Think Async in Python
What are some alternatives?
Joblib - Computing with Python functions.
aiomultiprocess - Take a modern Python codebase to the next level of performance.
arq - Fast job queuing and RPC in python with asyncio and redis.
vermin - Concurrently detect the minimum Python versions needed to run code
gevent - Coroutine-based concurrency library for Python
mnqueues - Monitored Multiprocessing Queues
regta - 📅 Production-ready scheduler with async, multithreading and multiprocessing support for Python
humanbenchmark - Memory tests solver with using OpenCV
lusc - Structured Async/Concurrency for Lua
cantok - Implementation of the "Cancellation Token" pattern
awaits - async + threads + decorators = ?
RemoteShell - This is a multi-client to server cross platform remote shell written in Python using threading and multiprocessing.