multitasking
Non-blocking Python methods using decorators (by ranaroussi)
think-async
🌿 Exploring cooperative concurrency primitives in Python (by rednafi)
multitasking | think-async | |
---|---|---|
1 | 4 | |
191 | 223 | |
- | - | |
3.2 | 7.8 | |
almost 2 years ago | 3 months ago | |
Python | Python | |
Apache License 2.0 | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
multitasking
Posts with mentions or reviews of multitasking.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-22.
-
I made autothread: the easiest way to add parallelization to your code
Oh cool, I missed that one when I did my initial research. I did come across multitasking, which is also similar but doesn't make it easy to return objects from the function.
think-async
Posts with mentions or reviews of think-async.
We have used some of these posts to build our list of alternatives
and similar projects.
-
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