NumPy is known for being fast, but could it go even faster? Here’s how to use Cython to accelerate array iterations in NumPy. NumPy gives Python users a wickedly fast library for working with data in ...

In the example below the PyArrow array gives wrong results for strided numpy arrays when the type is different from the initial Numpy type: Looking at the code it seems that to determine the number of ...

Right now AnnData fields such as .X can have different datatypes, being e.g. numpy dense arrays, sparse arrays, or dask arrays. Some ehrapy functions are compatible with multiple of these types, while ...