machine-learning-with-ruby
benchmarks
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machine-learning-with-ruby | benchmarks | |
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machine-learning-with-ruby
- 1. What advantages does Python have to make it the preferred language over Ruby for AI/Machine Learning? 2. What is your experience if you working on Ai Machine Learning project with Rails?
- development around data and AI libraries in the Ruby world
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What is wrong with R, why is Python favored?
Python is a general-purpose language, yes, but so is Ruby. Why isn't Ruby used for data science? Are there any good reasons why something like sklearn could not be implemented in Ruby? Not really.
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Ruby 3 Released
It actually does. https://github.com/arbox/machine-learning-with-ruby
benchmarks
- Building a high performance JSON parser
- Twitter (re)Releases Recommendation Algorithm on GitHub
- how to benchmark a programming language
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Ruby 3.2.0 Is from Another Dimension
In all the language comparisons I've found over the years, Python consistently comes out slightly slower, for example:
https://github.com/kostya/benchmarks
Bearing in mind these are probably not even using YJIT, which makes Ruby considerably faster in some scenarios.
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The original computer languages benchmark is back
Also, here is another benchmark: https://github.com/kostya/benchmarks
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Why does Scala seem to be slow at benchmark results?
Nowadays, I reached out for some benchmark results. Scala is slower than Java and Kotlin. Can you explain it? https://github.com/losvedir/transit-lang-cmp https://github.com/kostya/benchmarks
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New, fastest JSON library for C++20
https://github.com/kostya/benchmarks is the current ratings. Should be an easy PR to them too.
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What things would be awkward to do in a hypothetical "strict" Haskell variant, that are now not awkward to do?
I don't think that rule will get you to 1.5-2x of C speed though. This benchmark is the only one I could find that has both PyPy and C and it seems to still be around 5-35x.
They are at least trying to avoid measuring JIT compilation times. I don't know how effective that is, but I trust somebody would have complained if it wasn't fair.
What are some alternatives?
libuv - Cross-platform asynchronous I/O
lua-languages - Languages that compile to Lua
julia - The Julia Programming Language
beartype - Unbearably fast near-real-time hybrid runtime-static type-checking in pure Python.
mypyc - Compile type annotated Python to fast C extensions
Cython - The most widely used Python to C compiler
circe - Yet another JSON library for Scala
lucky - A full-featured Crystal web framework that catches bugs for you, runs incredibly fast, and helps you write code that lasts.
Kategory - Λrrow - Functional companion to Kotlin's Standard Library
vector - A high-performance observability data pipeline.
Rope - a python refactoring library
viroiddb - A curated database of all available viroid-like RNA sequences