# Why is Python, not Julia, still used for most state-of-the-art AI research?

**URL:** <https://discourse.julialang.org/t/why-is-python-not-julia-still-used-for-most-state-of-the-art-ai-research/45896>\
**Category:** Offtopic\
**Tags:** knet, flux, machine-learning, mlj, sciml\
**Created:** [September 1, 2020, 1:49pm UTC](https://discourse.julialang.org/t/why-is-python-not-julia-still-used-for-most-state-of-the-art-ai-research/45896 "2020-09-01T13:49:21Z")\
**Posts on this page:** 1\
**Showing post:** 4

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**Author:** ![Palli](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/palli/32/3380_2.png) [@Palli](https://discourse.julialang.org/u/Palli)\
**Post date:** [September 1, 2020, 2:01pm UTC](https://discourse.julialang.org/t/why-is-python-not-julia-still-used-for-most-state-of-the-art-ai-research/45896/4 "2020-09-01T14:01:22Z")

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You imply it’s really C++, fair enough, my main point was, why not Julia? And maybe you imply that combination is good enough, Julia not needed. I think most users use Python, without knowing or caring C++ powers it, not just in AI. I suppose (some of the) research people really do stuff in C++ though.

Also why not then use [GitHub - boathit/JuliaTorch: Using PyTorch in Julia Language](https://github.com/boathit/JuliaTorch) wrapper, rather than Python directly and C++ indirectly?

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