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Yes, I share similar thoughts. It was exciting when Julia came in, and it looked like it's going to replace a lot of python software in science. The symbolic di
by sega_sai 5y ago
Yes, I share similar thoughts. It was exciting when Julia came in, and it looked like it's going to replace a lot of python software in science. The symbolic differentiation is still quite nice. But every time I tried to code simple projects in julia, I've encountered packages that are not supported anymore, incompatibilities between versions and difficulties in reaching good enough performance among other things. I don't think I'll use Julia myself anymore and stick to python with occasional c/c++ for really performance-critical bits.
- ChrisRackauckas 5y agoI think having v1.0 as the LTS hurt quite a bit since some packages (DifferentialEquations.jl) never worked on the LTS, so we just kind of YOLO'd for a bit from version to version only testing the latest. The next LTS is v1.6 once v1.7 comes out. I think a lot more package ecosystems will start adopting tests on the LTS, which will make versioning issues a lot less prevalent.
- kristofferc 5y agoI think very few people use the LTS (especially not people that would write here) so I don't think that matters very much.