We discuss bringing Python natively to the CUDA ecosystem. From low level bindings to domain specific applications, CUDA is supporting Python standards and ecosystem. New libraries include nvmath-python for managing optimized mathematics libraries, cccl-python for cooperative threading and device parallelism, cuda-core for managing the complete CUDA toolstack from Python with no need for C++, and finally numba-cuda for generating device side kernels with integration of C++ device libraries and LTO IR.