Not trying to spin up any controversy… but do we have a list about things that are better in Julia than Python and vice versa as of today? To have a productive discussion, I would think such list should contain items that are fairly clear (eg speed) rather than those that are highly subjective (eg m…

[image] tk3369: Large talent pool While python has a no doubt hundreds of times as many academic users as Julia (maybe even thousands). The academic users are like <0.0001% of all python users. Where as they are >90% of all Julia users. Which means the julia community (and ecosystem) is a …

You can find a lot of discussion that is relevant in this thread: “Julia motivation: why weren’t Numpy, Scipy, Numba, good enough?” Many points are brought up. For me, the focus on first class numerical programming support is among the most important. Numpy’s syntax is pretty awkward compared to Ju…

I don’t have the numbers, but my understanding is that while many people use Python, Julia has a comparatively (in a relative sense) large number of active contributors to the language. To contribute to Julia, you just need to know Julia.

[image] DNF: Julia has a comparatively (in a relative sense) large number of active contributors to the language IMO this is an extremely important point, both for the ecosystem and the management of expectations. Julia attracts people who need to implement something and want to do it in a ge…

[image] DNF: To contribute to Julia, you just need to know Julia. Depends. If you want to contribute to e.g. code optimization some C, LLVM IR and internals and some background on femto-lisp would be needed.

Agree. The MATLAB style syntax is more consice and makes more sense mathematically. Although Julia can be a good general purpose language, I still like the bloodline from Fortran to MATLAB to Julia.

That is because Python is at a more mature stage, and more contributions go to packages instead of the language itself.

[image] Yifan_Liu: That is because Python is at a more mature stage, and more contributions go to packages instead of the language itself. I don’t think that is the correct explanation. I believe it’s because the barrier to entry for contributors are lower in Julia than in Python. Python is …

[image] lobingera: Depends. If you want to contribute to e.g. code optimization some C, LLVM IR and internals and some background on femto-lisp would be needed. Yes, if you’re one of the <10 or so people who have ever wanted to work on the very core of Julia, you need to learn this. If you’re…

Comparing with Python

General Usage

DNF May 25, 2018, 11:08am 21

Sure, but you don’t need that to contribute in other ways. There’s a lot more you can do knowing just Julia than in many other languages.

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Comparing with Python

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