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racket | julia | |
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188 | 350 | |
4,695 | 44,510 | |
0.7% | 0.9% | |
9.7 | 10.0 | |
2 days ago | 4 days ago | |
Racket | Julia | |
GNU General Public License v3.0 or later | MIT License |
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.
racket
- Racket Language
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Racket–the Language-Oriented Programming Language–version 8.12 is now available
Racket—the Language-Oriented Programming Language—version 8.12 is now available from https://racket-lang.org
See https://racket.discourse.group/t/racket-v8-12-is-now-availab... for the release announcement and highlights.
Thank you to the many people who contributed to this release!
Feedback Welcome
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Racket version 8.11.1 is now available
Racket version 8.11.1 is now available from https://racket-lang.org/
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Ask HN: Does anyone Lisp without Emacs?
Racket (https://racket-lang.org) has an IDE (DrRacket) which isn't EMACS. ARC (which powers hacker news) is (was?) written in Racket.
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Douglas Crockford, author of ‘Javascript: the good parts’ and ‘How Javascript works’ will be giving the keynote presentation From Here To Lambda And Back Again at the thirteenth RacketCon.
Nice! Repeating a comment I just made on HN: I signed up for RacketCon, will be joining remotely. I am looking forward to it a lot. Usually I use the Racket language perhaps for 10% of my personal projects, but I am currently writing a Racket AI book, so all things Racket are of current interest. Past RacketCons have been a lot of fun. I usually use Common Lisp, but Racket is batteries included Scheme, and more, and is a very pleasant language and ecosystem. Just in case you don’t have Racket installed: https://racket-lang.org/
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Douglas Crockford to Keynote 'From Here to Lambda and Back Again' at Racke
I signed up for RacketCon, joining remotely. I am looking forward to it a lot. Usually I use the Racket language perhaps for 10% of my personal projects, but I am currently writing a Racket AI book, so all things Racket are of current interest.
Past RacketCons have been a lot of fun.
I usually use Common Lisp, but Racket is batteries included Scheme, and more, and is a very pleasant language and ecosystem. Just in case you don’t have Racket installed: https://racket-lang.org/
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Ask HN: What is the most suitable Scheme implementation to learn today?
I'd suggest Racket (https://racket-lang.org) which is a batteries-included language environment that includes scheme and has a lot of high-quality documentation.
Guile (https://www.gnu.org/software/guile/) isn't quite as learner-focused but is another great choice.
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What Programming Languages are Best for Kids?
How did I get to the bottom of the page and not ONE person has recommended racket?
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Setting up a Scheme coding environment in VS code?
The Racket fork of CS supports Apple Silicon natively, and can be installed independently: https://github.com/racket/racket/blob/master/racket/src/ChezScheme/BUILDING Chez adds a few features (threads, ffi, ...) to R6RS; there is a useful combined index to TSPL4 and the CS User Guide at http://cisco.github.io/ChezScheme/csug9.5/csug_1.html
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Is SICP an overkill for a 14 year old?
If you're using SICP in Scheme (or are you doing the JS version?) then you may want to look at How to Design Programs. It uses Racket which is a Scheme descendent so much of the language you've learned in SICP will work in it without issue. It also has a pretty good set of GUI and drawing capabilities you can find through the Racket docs page and will use some of with HTDP.
julia
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Top Paying Programming Technologies 2024
34. Julia - $74,963
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Optimize sgemm on RISC-V platform
I don't believe there is any official documentation on this, but https://github.com/JuliaLang/julia/pull/49430 for example added prefetching to the marking phase of a GC which saw speedups on x86, but not on M1.
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Dart 3.3
3. dispatch on all the arguments
the first solution is clean, but people really like dispatch.
the second makes calling functions in the function call syntax weird, because the first argument is privileged semantically but not syntactically.
the third makes calling functions in the method call syntax weird because the first argument is privileged syntactically but not semantically.
the closest things to this i can think of off the top of my head in remotely popular programming languages are: nim, lisp dialects, and julia.
nim navigates the dispatch conundrum by providing different ways to define free functions for different dispatch-ness. the tutorial gives a good overview: https://nim-lang.org/docs/tut2.html
lisps of course lack UFCS.
see here for a discussion on the lack of UFCS in julia: https://github.com/JuliaLang/julia/issues/31779
so to sum up the answer to the original question: because it's only obvious how to make it nice and tidy like you're wanting if you sacrifice function dispatch, which is ubiquitous for good reason!
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Julia 1.10 Highlights
https://github.com/JuliaLang/julia/blob/release-1.10/NEWS.md
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Best Programming languages for Data Analysis📊
Visit official site: https://julialang.org/
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Potential of the Julia programming language for high energy physics computing
No. It runs natively on ARM.
julia> versioninfo() Julia Version 1.9.3 Commit bed2cd540a1 (2023-08-24 14:43 UTC) Build Info: Official https://julialang.org/ release
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Rust std:fs slower than Python
https://github.com/JuliaLang/julia/issues/51086#issuecomment...
So while this "fixes" the issue, it'll introduce a confusing time delay between you freeing the memory and you observing that in `htop`.
But according to https://jemalloc.net/jemalloc.3.html you can set `opt.muzzy_decay_ms = 0` to remove the delay.
Still, the musl author has some reservations against making `jemalloc` the default:
https://www.openwall.com/lists/musl/2018/04/23/2
> It's got serious bloat problems, problems with undermining ASLR, and is optimized pretty much only for being as fast as possible without caring how much memory you use.
With the above-mentioned tunables, this should be mitigated to some extent, but the general "theme" (focusing on e.g. performance vs memory usage) will likely still mean "it's a tradeoff" or "it's no tradeoff, but only if you set tunables to what you need".
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Eleven strategies for making reproducible research the norm
I have asked about Julia's reproducibility story on the Guix mailing list in the past, and at the time Simon Tournier didn't think it was promising. I seem to recall Julia itself didnt have a reproducible build. All I know now is that github issue is still not closed.
https://github.com/JuliaLang/julia/issues/34753
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Julia as a unifying end-to-end workflow language on the Frontier exascale system
I don't really know what kind of rebuttal you're looking for, but I will link my HN comments from when this was first posted for some thoughts: https://news.ycombinator.com/item?id=31396861#31398796. As I said, in the linked post, I'm quite skeptical of the business of trying to assess relative buginess of programming in different systems, because that has strong dependencies on what you consider core vs packages and what exactly you're trying to do.
However, bugs in general suck and we've been thinking a fair bit about what additional tooling the language could provide to help people avoid the classes of bugs that Yuri encountered in the post.
The biggest class of problems in the blog post, is that it's pretty clear that `@inbounds` (and I will extend this to `@assume_effects`, even though that wasn't around when Yuri wrote his post) is problematic, because it's too hard to write. My proposal for what to do instead is at https://github.com/JuliaLang/julia/pull/50641.
Another common theme is that while Julia is great at composition, it's not clear what's expected to work and what isn't, because the interfaces are informal and not checked. This is a hard design problem, because it's quite close to the reasons why Julia works well. My current thoughts on that are here: https://github.com/Keno/InterfaceSpecs.jl but there's other proposals also.
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Getaddrinfo() on glibc calls getenv(), oh boy
Doesn't musl have the same issue? https://github.com/JuliaLang/julia/issues/34726#issuecomment...
I also wonder about OSX's libc. Newer versions seem to have some sort of locking https://github.com/apple-open-source-mirror/Libc/blob/master...
but older versions (from 10.9) don't have any lockign: https://github.com/apple-oss-distributions/Libc/blob/Libc-99...
What are some alternatives?
Visual Studio Code - Visual Studio Code
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
clojure - The Clojure programming language
NetworkX - Network Analysis in Python
nannou - A Creative Coding Framework for Rust.
Lua - Lua is a powerful, efficient, lightweight, embeddable scripting language. It supports procedural programming, object-oriented programming, functional programming, data-driven programming, and data description.
antlr-tsql
rust-numpy - PyO3-based Rust bindings of the NumPy C-API
babashka - Native, fast starting Clojure interpreter for scripting
Numba - NumPy aware dynamic Python compiler using LLVM
coalton - Coalton is an efficient, statically typed functional programming language that supercharges Common Lisp.
F# - Please file issues or pull requests here: https://github.com/dotnet/fsharp