Python stores the data in its appropriate data representation and memory space. However, packages such as NumPy are implemented in systems programming languages such as C, Rust or Fortran. These ...

The key element that NumPY introduces is an N-dimensional array object. The great flexibility of Python lists, allowing all sorts of different types of elements, comes at a computational cost. NumPY ...

The cache is also intelligently optimized for large objects like NumPy arrays. Regions of data can be shared in-memory between processes on the same system by using numpy.memmap .