sicmutils
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sicmutils | PyCall.jl | |
---|---|---|
13 | 28 | |
750 | 1,438 | |
0.0% | 1.2% | |
0.0 | 6.1 | |
about 1 year ago | about 2 months ago | |
Clojure | Julia | |
GNU General Public License v3.0 only | MIT License |
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sicmutils
- Sicmutils: Computer Algebra, Physics and Differential Geometry in Clojure
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mentat-collective/emmy: The Emmy Computer Algebra System.
They seem to be in the middle of transitioning from the old repo.
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Ask HN: What Is the SICP of Physics?
There are some good resources here including some nicely formatted HTML versions of the book: https://github.com/sicmutils/sicmutils/wiki/SICM-and-FDG-Lea...
^ The Github repo contains a Clojure version of the Scheme library used by the book.
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Space Math
If you want to try this out, give the sicmutils Computer Algebra System a go (I’m the maintainer). Repo lives here: https://github.com/sicmutils/sicmutils
The library works in the browser as well, so interactive TeX rendering from Clojure symbolic expressions and functions is available at the quickstart page here: https://nextjournal.com/try/samritchie/sicmutils
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Math notation library for CojureScript
I am the maintainer of the "sicmutils" computer algebra system in Clojure, and I think that you'll find it very nice for your project: https://github.com/sicmutils/sicmutils
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A, perhaps, naive question on (Common) Lisp
https://github.com/sicmutils/sicmutils is a really interesting development in the direction(s) you stated in b. Since terms can be rendered in various ways (latex, js, etc.), they can be embedded in documents, web pages, etc. You can go from symbolic expressions to animated dynamic systems with relevant formulae.
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Literate programming is much more than just commenting code
- multiple stories about the same piece of code, but all with the ability to IMPORT the story as a library
I've been writing sicmutils[0] as a "literate library"; see the automatic differentiation implementation as an example[1].
A talk I gave yesterday at ELS demos a much more powerful host that uses Nextjournal's Clerk to power physics animations, TeX rendering etc, but all derived from a piece of Clojure source that you can pull in as a library, ignoring all of these presentation effects.
Code should perform itself, and it would be great if when people thought "LP" they imagined the full range of media through which that performance could happen.
[0] sicmutils: https://github.com/sicmutils/sicmutils
[1] autodiff namespace: https://github.com/sicmutils/sicmutils/blob/main/src/sicmuti...
[2] Talk code: https://github.com/sritchie/programming-2022
[3] Clerk: https://github.com/nextjournal/clerk
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Physics in Clojure: Elliptical Paths
Hey, so fun to see this here! These demos feature work from https://github.com/sicmutils/sicmutils and the newly maintained-by-me Mathbox library.
I’m around and happy to answer any questions about the library, future plans, etc.
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Neural network capable of solving university-level Mathematics problems at scale
Give my SICMUtils computer algebra system a look as well, if you like Lisp / Clojure: https://github.com/sicmutils/sicmutils
Works on the web too, which is a big boost for sharing work.
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MIT Scheme on Apple Silicon
It is good enough! Almost all code forms from the book live in the tests (see the FDG directory[0], for example), and there are a few nice environments like Nextjournal[1] where everything from the books works in the browser.
The Clojure port is quite fast, faster than the original for all benchmarks GJS has sent me, and more fleshed out. (That will change, as I've been pushing bugfixes and performance improvements back upstream as I go, as a meager gift to GJS for making this huge, amazing library in the first place.)
I actually wrote to GJS this morning asking for instructions on how to compile the original "scmutils", since I have the same problem. He responded saying he'll get back to me this afternoon, so I'll post here once I have details.
If you are still interested in getting the books going with MIT-Scheme, I put a decent amount of work into the exercises using the original codebase here[2], including a dockerized version of mit-scheme[3] and the scmutils package[4] that might be useful.
- [0] https://github.com/sicmutils/sicmutils/tree/main/test/sicmut...
- [1] https://nextjournal.com/try/samritchie/sicmutils/
- [2] https://github.com/sicmutils/sicm-exercises
- [3] https://hub.docker.com/r/sritchie/mit-scheme
- [4] https://hub.docker.com/r/sritchie/mechanics
PyCall.jl
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I just started into Julia for ML
For point 3 you can use https://github.com/cjdoris/PythonCall.jl or https://github.com/JuliaPy/PyCall.jl (and their respective Python sister packages).
- The Mojo Programming Language: A Python Superset Drawing from Rust's Strengths
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Calling Chapel, Carbon, and zig code in Julia
PyCall.jl is really handy. Are there any similar projects for calling Chapel code, or Carbon/zig?
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Am I dumb in thinking I can use Rust as a Fast Python and leave it at that?
Julia and Python interop should not be a problem at all. Actually Julia has one of the best interops I’ve ever seen, so much that swift copied it. https://github.com/JuliaPy/PyCall.jl
- Which tools do you use for python + Data Science?
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I don't want to abandon Rust for Julia
One small note, julia also has great python interop via PyCall.jl
- Faster Python calculations with Numba: 2 lines of code, 13× speed-up
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Interoperability in Julia
It is possible to call Python from Julia using PyCall. Then to install PyCall, run the command in the Julia REPL.
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Why is Python so used in the machine learning?
That said, you can run python modules in Julia. So you can just export your code as a module and then use it in Julia via the PyCall package. short description here github here <— you’d just add the pacakge via the really nice package manager built into julia, but for link for more detailed documentation
- Use rust code in Python with pyo3
What are some alternatives?
sicm-scheme-exercises - Exercises and notes on Structure and Interpretation of Classical Mechanics.
py2many - Transpiler of Python to many other languages
clerk - ⚡️ Moldable Live Programming for Clojure
Revise.jl - Automatically update function definitions in a running Julia session
ChezScheme - Chez Scheme
julia - The Julia Programming Language
clj-maxima - Maxima as a clojure library
Genie.jl - 🧞The highly productive Julia web framework
programming-2022 - Talks at the <Programming> 2022 Conference in Porto, Portugal
are-we-fast-yet - Are We Fast Yet? Comparing Language Implementations with Objects, Closures, and Arrays
Algebird - Abstract Algebra for Scala
fast-ruby - :dash: Writing Fast Ruby :heart_eyes: -- Collect Common Ruby idioms.