According to GitHub’s Open Source Survey, Python has officially become the world’s most popular programming language in 2024 – ultimately surpassing JavaScript. Due to its exceptional popularity, NVIDIA announced Python support for its CUDA toolkit at last year’s GTC conference, marking a major leap in the accessibility of GPU computing. With the latest update (https://nvidia.github.io/cuda-python/latest/) and for the first time, developers can write Python code that runs directly on NVIDIA GPUs without the need for intermediate C or C++ code.

Historically tied to C and C++, CUDA has found its way into Python code through third-party wrappers and libraries. Now, the arrival of native support means a smoother, more intuitive experience.

This paradigm shift opens the door for millions of Python programmers – including our scientific community – to build powerful AI and scientific tools without having to switch languages or learn legacy syntax.

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