Julia

“Julia is the only real alternative to MATLAB if you do any kind of numerical, scientific, or technical computing”

“It works perfectly fine in production, and is especially useful if mathematical optimisation is part of your app somewhere”

“Julia is a kickass Lisp because it enshrined meta-programming as a first-class language design concern”

“All I ever wanted from Julia was great a development experience, but it appears to have never quite gotten there.”

“faster GC, lower startup latency, better interrupt handling, new REPL features, and faster package mangement are all great things”

“members of the Julia community have vocally downplayed problems and played the victim when quality concerns have been raised”

“That reads to me more like a long-winded example of a Julia user refusing to take correctness issues seriously”

“I started using Julia for ODE stuff in 2018 or 2019 and was thrilled with the speed and conciseness.”

“More like breaking changes, weird issues with basic transitive dependencies breaking after a minor version bump to the language.”

“Julia is an extremely flexible and permissive language, which means that generic code needs to be written carefully”

“ultimately if you think the language might be a fit for your use case, I'd recommend trying it out and see how you like it first-hand”

“Writing fast and elegant ODE solvers, etc in Julia seems to be easier than the others and they've attracted a lot of academics for that reason.”

“Not having clearly defined traits in the language made larger projects composing many libraries in Julia difficult.”

“It has a strong lisp lineage, the just ahead of time compilation model is interesting and I think they were the first to make it work.”

“Julia is not a systems language. Also its design (GC, dynamic typing) does not allow it to reach exactly the same level as C++.”

“Julia actually has some really cool machinery for handling this that I would encourage other JIT languages to copy.”

“Julia pretty much remains in there, even though it doesn't really meet the strongly typed initial criteria”

“And that's a good thing, because Python+NumPy syntax is far more cumbersome than either Julia or MATLAB's.”

“I like languages like Julia, as it implicitly abstracts the broadcast operator to handle which areas may be cleanly unrolled.”

“The abstractions really streamline developing image processing algorithm that are independent of pixel representation.”

“Broadcast operation (the dot syntax) is another super useful instrument for speeding up vectorized operations.”

“it's type system and especially its data types (N-dimensional arrays, ...) make it way more suited anything that needs to process complex data”

“I prefer Julia over Matlab or R. So data science. For production code however, it's not great since it has no static typing.”

“It is highly interactive and dynamic, yet performant. At the same time I think Julia is failed attempt, with unsolvable problems”

“Julia's language and semantics are much more ergonomic and natural for mathematical and algorithmic code”

“found that it had just about everything I was looking for -- an active scientific community, expressiveness, performance, interesting metaprogramming facilities.”

“Julia has correctnes issues because it chose maximum composability over specifying interfaces explicitly.”

“I don't want to sit through precompilation of all dependencies whenever a new machine runs a particular version of the Julia project for the first time”

“consistently gotten 10x-100x speedups, largely due to how much easier it is to control memory allocations and parallelize more effectively”

“I think it has hit a kind of sweet spot for language design where new performant code tends to get written in Julia”

“It has some facilities and supporting infrastructure for a lot of scientific and data-handling tasks”

“Julia isn't for everyone, but it certainly is for me. I find it to be a very flexible, interesting, and powerful language”

“Another nice thing in julia is that if you dont want the optimizer to delete something, you can just ask it nicely”

“The startup time is not a factor, and the ability to use UTF-8 symbols as variables makes the code more mathematical.”

“Languages like Julia trivially handle conditional parallelism much more cleanly with the broadcast operator”

“After using it for a while and following the community (watching talks, checking the forum etc), I don't think it has a concept of code quality.”

“It is the first language I've seen in decades that reduces entire paradigms into single character syntax”

“Julia is phenomenally great for solo/small projects, but as soon as you have complex dependencies that _you_ can't update”

“Julia does it very well and seems to be gaining a lot of traction as a very high performance but very expressive and safe language.”

“Julia is compiled and for simple code like that example code will have performance on par with C, Rust etc.”