jython VS Ray

Quick note - CPython is the OG and most popular implementation of Python, but it is not the only implementation of Python. Some other fairly well-known examples are Jython (Java implementation), RustPython (Rust implementation), or the more mind-bending PyPy (Python implemented via Python 🤯). Python is an interpreted language, and you can think of all these different Python implementations as being different implementations of the interpreter itself. The interpreter is the program that takes your Python code and executes it via a virtual machine. This differs from a compiled language (like C) which needs the high-level C code to first be converted to machine code and then executed by the CPU.

The program I linked is the Python interpreter you're probably using, but the abstract set of rules that make up Python are not in any particular way tied to C. You could also use a Java program or a C# program to interpret your Python code. They've even made Python in Python itself, although it uses a more restricted version of Python so it's easier to compile it.

Check their Github, last commit was 9 days ago.

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