eventlet VS Ray

index 714cb3a6..47c5c039 100644 --- a/tools/pip-requires +++ b/tools/pip-requires @@ -2,7 +2,7 @@ # NOTE: OpenStack avoids some versions of eventlet, because of the # following issue. # https://github.com/eventlet/eventlet/issues/401 -eventlet==0.31.1 +eventlet==0.33.3 msgpack>=0.4.0 # RPC library, BGP speaker(net_cntl) netaddr oslo.config>=2.5.0

root@agrover-OptiPlex-780:~# easy\_install -U eventlet Searching for eventlet Reading http://pypi.python.org/simple/eventlet/ Reading http://wiki.secondlife.com/wiki/Eventlet Reading http://eventlet.net Best match: eventlet 0.9.16 Processing eventlet-0.9.16-py2.7.egg eventlet 0.9.16 is already the active version in easy-install.pth Using /usr/local/lib/python2.7/dist-packages/eventlet-0.9.16-py2.7.egg Processing dependencies for eventlet Searching for greenlet>=0.3Reading http://pypi.python.org/simple/greenlet/Reading https://github.com/python-greenlet/greenletReading http://bitbucket.org/ambroff/greenletBest match: greenlet 0.3.4Downloading http://pypi.python.org/packages/source/g/greenlet/greenlet- 0.3.4.zip#md5=530a69acebbb0d66eb5abd83523d8272Processing greenlet-0.3.4.zipWriting /tmp/easy_install-_aeHYm/greenlet-0.3.4/setup.cfgRunning greenlet-0.3.4/setup.py -q bdist_egg --dist-dir /tmp/easy_install-_aeHYm/greenlet-0.3.4/egg-dist-tmp-t9_gbWIn file included from greenlet.c:5:0:greenlet.h:8:20: fatal error: Python.h: No such file or directorycompilation terminated.error: Setup script exited with error: command 'gcc' failed with exit status 1` Why can't Python.h be found?

i would see if http://www.gevent.org/ or http://eventlet.net/ works on windows first

Nameko is built on top of the eventlet library, which provides concurrency via “greenthreads”.

22. Ray | Github | tutorial

Training times for GSM8k are mentioned here: https://github.com/ray-project/ray/tree/master/doc/source/te...

Here's a reference from RLlib that points to docs and an example, and here's one from one of my projects that includes all my own implementations

RLlib

⦿ AWS Glue Data Quality - Automatic data quality rule recommendations based on your data AWS Glue for Ray - Data integration with Ray (ray.io), a popular new open-source compute framework that helps you scale Python workloads

https://ray.io (just dropping the link)

I've wondered whether it's easier to add data analyst stuff to Elixir that Python seems to have, or add features to Python that Erlang (and by extension Elixir) provides out of the box.

By what I can see, if you want multiprocessing on Python in an easier way (let's say running async), you have to use something like ray core[0], then if you want multiple machines you need redis(?). Elixir/Erlang supports this out of the box.

Explorer[1] is an interesting approach, where it uses Rust via Rustler (Elixir library to call Rust code) and uses Polars as its dataframe library. I think Rustler needs to be reworked for this usecase, as it can be slow to return data. I made initial improvements which drastically improves encoding (https://github.com/elixir-nx/explorer/pull/282 and https://github.com/elixir-nx/explorer/pull/286, tldr 20+ seconds down to 3).

[0] https://github.com/ray-project/ray

Adding these for anyone who had a similar question about Ray vs dask 1, 2, 3