Not even a bit. I am hearing this "Python domination threatened by Julia" thing for the last 4-5 years (others have been hearing it since much earlier). Nothing changed.
I never got paid for writing Julia, nobody I know that used Python ever switched to Julia.
Only some niche research groups uses Julia in some universities.
Nowhere that I personally know off uses Julia in industry.
And I see no reason to use it either. I use PyTorch, fastai, and sklearn for work and play. Analysts uses R (and Excel at a previous work). Julia has no usable library to be used for practical, dependable tasks. Last time I checked, the pre-compile times for even the simplest functions were painstakingly high.
I have started to dabble with Jax/Flax, and the PyTorch XLA library. Amazong things happening in the TPU space. And it all uses Python.
A research group (in Astronomy) switched to Julia, but they used FORTRAN and MATLAB.
I don't see Python's domination threatened by Julia in any way.
Python, however faces competition from Go in network programming, and Rust for CLI programming.
I never got paid for writing Julia, nobody I know that used Python ever switched to Julia.
Only some niche research groups uses Julia in some universities.
Nowhere that I personally know off uses Julia in industry.
And I see no reason to use it either. I use PyTorch, fastai, and sklearn for work and play. Analysts uses R (and Excel at a previous work). Julia has no usable library to be used for practical, dependable tasks. Last time I checked, the pre-compile times for even the simplest functions were painstakingly high.
I have started to dabble with Jax/Flax, and the PyTorch XLA library. Amazong things happening in the TPU space. And it all uses Python.
A research group (in Astronomy) switched to Julia, but they used FORTRAN and MATLAB.
I don't see Python's domination threatened by Julia in any way.
Python, however faces competition from Go in network programming, and Rust for CLI programming.