Julia has been around for about 7 years, but the price of base Matlab has been quite stable. Actually if you take into account the bundling toolboxes, it is getting more expensive. Since Julia can do most of the stuffs Matlab offers (at least in my case), I consider Julia as a substitute of Matlab t…

Also keep in mind that it would take a huge amount of time to fully precompile every single possible combination of inputs to all methods… the advantage of Julia is that it is also flexible enough to generate specialized code for unexpected input types, which can only happen with staged compilation

[image] lobingera: what is gained in fully compile the package rather than caching a major part directly in machine code? If the methods are generic (and most Julia code is), you cannot compile all possible combinations since they work for types in other packages, or yet undefined. You can o…

By the way, Matlab doesn’t encourage packaging your code. By now I have hundreds of my *.m files-functions in common code base folder, roughly arranged into different sudfolders (plot_utils, file_utils, and so on). So, when I have to transfer a prototype to someone else, I should manually copy inclu…

[image] Tamas_Papp: Also, note that compilation times improved markedly for what will be v1.2 I got excited by this and built Julia master. Unfortunately it wasn’t as impressive as this suggests: julia> @time using ApproxFun # Julia v1.1 24.868237 seconds (67.19 M allocations: 4.559 GiB, 4.…

Thanks for your reply! why PyPlot.jl is much more faster?

[image] dlfivefifty: I seem to remember Stefan posting a Julia roadmap saying that Debugger was higher priority than compile time Looks like the opposite is true.

Significant work has been done on both mostly by different people. Despite the shade above, a 35% reduction in compile is nothing to sneeze at.

I doubt Mathworks knows that Julia exists at the “management” level. The company is notorious for both their arrogance and their ignorance; if they’re even aware of Julia’s existence, which I doubt, then they don’t treat it as a serious competitor. As an example of what Mathworks is like: 10 years …

“and most Julia code is” - is exactly the point. Some code isn’t generic, but rather close to specific types and more or less constant. And julia (today, afaiu) does not provide a good means to compile code like this to a library that contains functions that just can be called without compilation. …

I don’t think its 100% clear what triggers the long latency for some code / packages. It might be compilation but it might be also type inference. PyPlot is for instance pretty snappy but Winston has a higher latency. The long loading times are a different story since there is no compilation step in…

Why Matlab price does not decrease?

Offtopic

Azamat April 8, 2019, 1:52am 88

Looks like the opposite is true.

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Why Matlab price does not decrease?

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