dtype-next
hissp
dtype-next | hissp | |
---|---|---|
12 | 29 | |
310 | 331 | |
- | - | |
8.3 | 9.1 | |
about 2 months ago | 3 months ago | |
Clojure | Python | |
GNU General Public License v3.0 or later | Apache 2.0 |
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dtype-next
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Lisp/Scheme/Clojure and APL/K (2016)
Related (?): https://github.com/cnuernber/dtype-next/blob/master/test/tec...
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A Tablecloth talk by Mey Beisaron at Func Prog Sweden this week
Tablecloth by generateme is a friendly & expressive table-processing library built on top of tech.ml.dataset & dtype-next, Chris Nuernberger's high-performance data libraries.
- Why Clojure is not widely adopted like mainstream languages?
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Notes on Optimizing Clojure Code: Arrays
There is one other detail here that I found out w/r/t arrays - Clojure's aset implementation returns the previous value; it isn't a faithful wrapper of the JVM's array set value instruction. Due to this if you are using aset on primitive arrays you end up boxing every value you are setting which at least in my tests leads to a performance disadvantage when compared to a tight loop using Java. This is why I have a specialized class implementing an aset that returns void.
- Dtype-next: a Clojure library to aid implementation of high performance systems
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Nested mapping?
If this is something common and the work is numeric, I would highly recommend exploring dtype-next buffer abstraction and tensors. The tensor api supports a nice APL-like substrate for working in index space without having to have the underlying storage "be" a boxed datastructure. You also get the option of off-heap / native tensors that can be zero-copy shuttled between other runtimes.
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Clojure High Performance Data Processing Updates
dtype-next - Major discoverability upgrades for the tech.v3.datatype and tech.v3.datatype.functional namespaces. Similarly to tmd, Cursive and Calva users now get full intellisense help with these main namespaces. Furthermore the FFI bindings now support linting with clj-kondo.
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Coffi, a Foreign Function Interface for JDK 17
One thing about the readme that is incorrect - [dtype-next](https://github.com/cnuernber/dtype-next)'s ffi does in fact support callbacks :-). It is used as the backend to [libpython-clj](https://github.com/clj-python/libpython-clj) where you certainly can call clojure functions from python.
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Anybody using Common Lisp or clojure for data science
There are some interesting efforts concurrent with scicloj work by Chris Nuernberger specifically dtype-next, and the earlier tech-jna stuff. It's the same stuff underlying libpython-clj and libjulia-clj. recent talk.
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clojure-rte: Clojure implementation of rational type expressions
This is great work. One of the things that has been on my mind working through our numerics stack is how to extend the number tower to complex numbers or more generally to arbitrary algebras. This project seems to me to be sort of a type-system-in-a-box that we can use to add arbitrary typing to Clojure where necessary/ideal. Thanks for sharing.
hissp
- Hissp
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2 line tic tac toe
Hissp is a Python library that can compile a whole program into one Python expression.
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What's the most hilarious use of operator overloading you've seen?
If you want Python to be as customizable as Lissp, check out Hissp (and Hebigo).
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Pythoneers here, what are some of the best python tricks you guys use when progrmming with python
Hissp is really cool for metaprogramming Python. There's also macropy, but it's harder to use.
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Lush – Lisp-like language for deep learning designed by Yann LeCun
I prefer https://github.com/gilch/hissp, where Hy has to use shims to pretend statements are expressions, Hissp just targets the expression subset in the first place. (though as you mentioned, hy has a lot of literature and support around it, where as you're going to have to find your own way around hissp)
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A Python-compatible statically typed language erg-lang/erg
No shortage of options, e.g. Dg, Mochi, Coconut, and Hebigo (based on Hissp[1]).
[1]: https://github.com/gilch/hissp
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Other than having a wider range of libraries and beingthus being more "general purpose" and "practical" is there anything that makes Python an intrinsically better programming language than Lisp?
If you want Lisp metaprogramming plus Python ecosystem, check out Hissp
- Lisp.py
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What are some amazing, great python external modules, libraries to explore?
Hissp is really interesting. Read through the docs and you'll understand Python more deeply. It works well with Toolz and Pyrsistent.
- Why Hy?
What are some alternatives?
neanderthal - Fast Clojure Matrix Library
hy - A dialect of Lisp that's embedded in Python
tech.ml.dataset - A Clojure high performance data processing system
hy-lisp-python - examples for my book "A Lisp Programmer Living in Python-Land: The Hy Programming Language"
tablecloth - Dataset manipulation library built on the top of tech.ml.dataset
libpython-clj - Python bindings for Clojure
hanami - Interactive arts and charts plotting with Clojure(Script) and Vega-lite / Vega. Flower viewing 花見 (hanami)
coalton - Coalton is an efficient, statically typed functional programming language that supercharges Common Lisp.
waqi - REPL-driven data visualizations with Clojure and Vega/Vega-Lite in the browser
femtolisp - a lightweight, robust, scheme-like lisp implementation
cljplot - JVM Clojure charting library
incanter - Clojure-based, R-like statistical computing and graphics environment for the JVM