I’ve recently switched to the v0.7 master branch from v0.6 for the development of a computation-heavy package I’m making, and I am very impressed! The transition was really easy. I essentially had to adapt the way I was using CartesianRange, which has now a different syntax, but the rest was all rea…

I suppose if no one else gets around to it, I’ll port it myself since it seems that no one else around here has much Perl knowledge.

[image] John_Gibson: 3.448 JavaScript It blows my mind that JavaScript is this fast. Can you imagine the amount of time and money that must have gone into this number? And all that effort for such a horrible, horrible language. I’m very excited about constant propagation. Any comments on …

[image] ExpandingMan: I’m very excited about constant propagation. Any comments on the effect this might have on compile times? Compile times are already a problem that we need to address more generally. The way forward to better compile times is to implement several larger solutions, includ…

There is a plaform without perl ? what is the world coming to.

Those are fightin’ words around these parts :wink:

Me too. I am doing data science/analytics after 8 years of theoretical/computational physics (I have a bunch of papers in the pipeline, hope I can get them out [!]) I use Julia. But, I am learning and using python for some things now because: I have to work with other people; we are pretty sure wha…

A possible reason is in this post . The author claims that being dynamic doesn’t, in itself, make a language hard to optimize. Python is more difficult to make fast than java script, because python has a “rich object model”. Python developers implemented a lot of cool features that were relativley e…

Another possible reason is that the JavaScript JIT compilers are very, very good at this stage, as a lot of effort (and money) went into them, and they really shine where the “same” calculation is performed repeatedly, and this “sameness” is cheap to check by the JIT. Julia was designed to allow …

In my situation, my code is 1.3x faster when I switch from v0.6 to v0.7. however, the “Task Manager” of manjaro showed that the new version cost more memory. That is confusing.

Fantastic progress in master branch!

Internals & Design

Topic		Replies	Views
1.0 progress/status Internals & Design	60	20307	April 20, 2019
Shouldn't 1.8.0 be faster than Julia 1.7? Performance	30	2747	September 16, 2022
Julia motivation: why weren't Numpy, Scipy, Numba, good enough? Community history	123	84374	September 21, 2018
Benchmark for latest julia? Community question	126	16083	April 1, 2019
The Julia Challenge Community	33	3530	November 20, 2018

Fantastic progress in master branch!

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