The problem that we are beginning to see in astronomy is that the ground- and space-based observatories that will come online in the next few years, such as the Rubin Observatory, the Roman Observatory, and the Next Generation VLA (assuming they are not cancelled); will generate petabytes of data per year. Scientific Python (i.e., Numpy, including Numba and JAX) does not have the performance to process this data volume. This will suppress the quality of the science that can be achieved. As a result, the JuliaAstro community is working hard to advertise the benefits of Julia over Python. The people that I have spoken to just assume that Julia is another run-of-the-mill programming language. When I tell them of its benefits over Julia, particularly that you can compile directly to GPU code, they are mildly impressed, and some have shown an interest in using it. The problem that we currently have is the lack of packages and applications to support astronomical data analysis. In summary, the big issue in my opinion is cultural, and not technical. and Python currently dominates the scientific data analysis culture.