You'll be working with another reviewer to read and run the code, make sure it fills a basic checklist which usually only takes a few hours, and beyond that whatever youd like to focus on. Both of these are collaborative review processes where the goal is to help these packages be usable, well documented, and maintainable for the overall health of free scientific software.
Its fun, I promise! Happy to answer questions and boosts welcome.
Edit: feel free to volunteer as a reply here, DM me, or commenting on those issues! Anyone is welcome! Some experience with the language required, but other than that I can coach you through the rest.
February's TIOBE index has #Fortran as the 11th most popular language, marking its 12th consecutive month in the top 20, beating languages like #Rust, #R, #MATLAB and #Julia. About time to do away with that "Fortran is ancient/dead/obsolete" myth?
#astronomy#astrodon
Well, folks...I think this is it. today something odd or terrible is going to happen, and the omen is that I just coded that stuff from scratch in #Julia
...and it just worked, giving me results in the right units, at the first attempt.
How have I not made this connection before??? #rstats' S3 dispatch mechanism is strikingly similar to #rust's trait system (provided your mental model is sufficiently flexible and can compare function call vs method, that distinction perhaps being the reason I hadn't).
But it no longer feels so. Maybe it was a case of "you have to move fast to fix things" and as incumbents raise their game the window of opportunity closes. The vast investment in established stacks incentivises patching the most egregious weaknesses.
One exception seems #golang, which found a network niche
Just read the news that HBO Max is cancelling Julia, just as the show was really getting good.
Why not... it's critically acclaimed, has incredibly reviews with both critics and the audience, a 96% on Rotten Tomatoes. That makes all the sense in the world for HBO to cancel it.
I made some cards with DataFrames.jl and Luxor.jl. In previous years I used to calculate the data using Astro libraries, but recently I discovered that NASA supply all the relevant data in CSV format. 😂
Hey I am baer,
a student from germany (currently in my finals) with great interest in #science and #computerscience . This includes #linux and #foss.
I can (more or less) write #rust code and I am looking into #julia and #uiua.
Other things I enjoy are #photograpgy and riding my bike (#lifebehindbars ).
If you want to contact me look at my website pls.
Have a great day
🍪
Anyone doing #AdventOfCode ? I start with the best of intentions but have never finished it. Last year, I did it in #Julia. I was thinking I would try it again but then I thought perhaps I should go for it in #CSharp. I've been doing a lot of work in C# and I have been enjoying it and need to get better at it. Any other language you would suggest? I only have 2 requirements - it must have threading baked in and it has to have an easy way to pull stuff from the Internet.
For the first day of #AdventOfCode living in UTC+0, I actually have to be up at stupid o'clock anyway. In the interests of speed, which I usually do not care about, given the opportunity I shall start day 1 in #perl in which the thing will take moments. I'll clean it up into #raku because, well, one ought to. I'll then start again in #Julia because that's what I want to learn this time around.
I see a lot of exotic things, or rust, or R. Where's my perl tribesfolk?!
Here‘s another interesting #julialang, #python, #rstats comparison: „count the number of vowels in a string“. #julia uses an anonymous function as an argument to count(), #python iterates over the string using list comprehension, #rstats does the same but in a vectorized way
Various thoughts on too many programming languages, for no discernible reason.
I have been interested in Go since it's very initial release, but their dependence on Google is uncharming to say the least. I still haven't made up my mind on its GC, but its definitely better than most.
I used to do some ML work in .NET and if it wasn't dependent on Microsoft it would be a heavy contender for a great language, but it has far too many Microsoft-isms to ever really go much farther.
Rust is great, I enjoy beating my head against a brick wall battling with the compiler, and their safety is great, but overly complicated and feature-creep is a real problem on that entire project. I do a lot of work these days in Rust, for better (mostly) or worse (mostly-ish).
C is my bread-and-butter, as is Javascript for quick prototyping.
Elixir is great, but Erlang is unwieldy, the community is growing, but not fast enough - and I just can't get my mind to enjoy the syntax no matter how nice it is.
D is a lot of fun, but their GC can be slow at times, and the community is very small and packages are often broken and unmaintained.
Python was my first true love, but I really can't stand the whitespace, again love the language, hate the syntax.
Zig is fun, but just that. Fast, nimble, but early days, a bit confusing, could replace my insistence on C for core projects, but again, early days. I love to use them as a compiler for C, much faster than the defaults on any of the others.
Odin is one I love to keep an eye on, I wish I could get behind using it for more things. When I first took notice ~4 years ago the documentation was a bit scattered, but it looks much better now. The developer behind it is incredibly cool, could be seen as the next Dennis Ritchie imo. Runes are dope. The syntax is by far my favourite.
Julia, I love Julia, but performance last I tested was a bit of a miss, and by miss, it required a decent chunk of compute for basics, but when you gave it the system to throttle, it would be insanely productive to write in. Javascript is something that I prototype even syscalls in, but Julia is just the same but much better and more productive (and less strange) in many regards. I am really hoping this takes over in the ML/Data world and just eats Python alive. I've heard there has been major work in the perf department, but I haven't had reason to try it out lately.
Ada, memory safety before Rust! Great language, especially for critical applications, decades of baggage (or wisdom), slow moving language, insanely stable, compilers are all mostly proprietary, job market is small, but well paid, great for robotics, defense, and space industry types, but the syntax is... rough. Someone should make a meta-language on top of Ada like Zig/Nim/Odin do for C, or Elixir does for Erlang.
The others: Carbon, haven't tried; Nim, prefer when they were "Nimrod" (cue Green Day), decent but not my style; Crystal, seems cool, but not for me; Scala, great FP language, but JVM; Haskell, I'm not a mathematician, but my mathematician friends love it. I see why, but not my thing as much as I love functional languages. I'll try it again, eventually. I did not learn Haskell a great good.
I tend to jump from language to language, trying everything out, it's fun and a total timesuck.