At the conclusion of the workshop, you’ll have an understanding of the fundamental tools and techniques for GPU-accelerated Python applications with CUDA and Numba: GPU-accelerate NumPy ufuncs with a ...

Data analysis is an integral part of modern data-driven decision-making, encompassing a broad array of techniques and tools to process, visualize, and interpret data. Python, a versatile programming ...

Python is convenient and flexible, yet notably slower than other languages for raw computational speed. The Python ecosystem has compensated with tools that make crunching numbers at scale in Python ...

Is it feasible to make pyarrow compute functions into numpy ufuncs? From this it seems like it might be little more than decorating them. I ask because I'm a big polars user and there are some ...

Long in development, the new major release of the Python-to-C compiler sheds legacy Python support and readies Cython developers for big changes in Python. The main goal behind Cython is to make it ...

Reported in this Discourse post. The CUDA NumPy support documentation states that: scalar ufuncs that have equivalents in the math module; i.e. np.sin(x[0]), where x is a 1D array.