3 ms·

I was curious to see how asyncio has matured into such a list.. but it was missing the list. Is it common enough for people to use in scripts to speed up concur

• dagw 7y ago
  Anecdotally, no. From where I sit, the multiprocessing and threading modules still seem to be the main way to to concurrency in python.
  • nurettin 7y ago
    From where I sit (I've been soloing python projects for a few months now) For IO-blocking tasks, asyncio is the way to go and threading is very rarely needed if any. It is very simple to place a bunch of tasks into a list and do asyncio.gather on them, or add timeouts to async methods. For CPU intensive tasks, asyncio actually provides it's own syntax for process pools which are easily interchangeable with thread pools (just change an import alias)
    • ozychhi 7y ago
      We actually tried switching to asyncio in production, but got worse cpu utilisation and worse latency (vs greenlet). After some benchmarking and tuning, we got a bit better latency, but CPU utilisation was still worse, so we actually ended up swithcing back to just using greenlet :(
      • nurettin 7y ago
        I would not recommend using asyncio for cpu-intensive tasks. Processing pools are much better for that.