NumPy is a popular Python library for data science that provides powerful and efficient tools for manipulating arrays. Arrays are collections of data elements that have the same type and shape ...

Misinterpreting Array Shapes: ... Using Python for loops to process NumPy arrays element by element is significantly slower due to the overhead of the Python interpreter.

Therefore, I want to know if there is a direct and efficient way to achieve the requirement: Converting a list composed of multiple multi-dimensional halffloat numpy arrays of different shapes into ...

When you call the Cython function in your Python code, send the entire NumPy array object as an argument for that function call. Perform all the iteration over the object in Cython .