I have a list A of a 50,000 elements and each element is an array of shape (102400)

I tried instantiating an array B.

     B=numpy.array(A)

But this throws an exception MemoryError.I know that the memory and size is very huge?But is there a way to avoid this MemoryError with ndarrays in numpy ??

Assuming they are int64 (the default numpy type). Each occupies 8 bytes, then: The dimensions by the amount of bytes that occupy each one:

50000 * 102400 * 8 = 40960000000

In gigabytes

50000 * 102400 * 8 / 1024**3 = 38.14697265625 Gb