For Pandas Series using the StringDtype extension type, Series.astype(str) causes the data to be copied into a fixed-size Numpy unicode array, which can occur in the following code: memory_allocation ...
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 ...