PrimesResult
Primes
| PrimesResult | Primes | |
|---|---|---|
| 6 | 2 | |
| 29 | 1 | |
| - | - | |
| 0.0 | 4.3 | |
| about 2 years ago | over 2 years ago | |
| C | ||
| - | - |
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.
PrimesResult
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The Sad True
https://github.com/luizsol/PrimesResult People give golang crap for being slower than C. Python is 8.6% of the speed of golang.
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.NET vs Go vs Node
Possible place to start: https://github.com/luizsol/PrimesResult
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Best Lisp dialect?
The Performance of CL is much better than Scheme. One example is here https://github.com/luizsol/PrimesResult. Lisp is 11, Chez scheme implementation is 40
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Why I Use Nim instead of Python for Data Processing
The thing with Python is it's usually pretty easy to optimise quite impressively.
E.g. random example:
Sprinkle some cdef's in your python and suddenly you're faster than c++
https://github.com/luizsol/PrimesResult
https://github.com/PlummersSoftwareLLC/Primes/blob/drag-race...
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Common Lisp still beats Java, Rust, Julia, Dart in 2021 on benchmarks based on phone number encoding from the famous paper "Lisp as an alternative to Java" from 21 years ago
Sure, but never discount compile time code that can work wonders for your performance (which Rust doesn't really fully have) - https://github.com/luizsol/PrimesResult. Zig is so high up in the results precisely (I'd wager) because of compile time semantics.
- The results of the Dave Plummer's Programming Languages Drag Race.
Primes
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Best Lisp dialect?
I’m aware. My implementation is 2x faster than the python implementation using racket https://github.com/diego-crespo/Primes/blob/drag-race/PrimeRacket/solution_1/prime-racket-types.rkt, And faster than the chez scheme version
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Kina Knowledge, using Common Lisp extensively in their document processing stack
My most recent example is a prime sieve I wrote in Racket which was at least 10% faster than the Python implementation (can’t remember the exact number right now) I modeled it after, and then another 10% faster than that when I converted it to typed-racket[1]
For interactive development it’s true Racket isn’t as heavy into top level development as other lisps, but I often run my code and then play around with modifications to it in the repo afterwards using racket-mode in Emacs.
[1] https://github.com/diego-crespo/Primes/blob/drag-race/PrimeR...
What are some alternatives?
sb-simd - A convenient SIMD interface for SBCL.
MrEd-Designer - Easily design Racket GUI applications
scikit-bio - scikit-bio: a community-driven Python library for bioinformatics, providing versatile data structures, algorithms and educational resources.
libpython-clj - Python bindings for Clojure
Primes - Prime Number Projects in C#/C++/Python
RecursiveFactorization.jl
nimtorch - PyTorch - Python + Nim
sb-simd - A convenient SIMD interface for SBCL.
Arraymancer - A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
viroiddb - A curated database of all available viroid-like RNA sequences
nimpylib - Some python standard library functions ported to Nim