Exploring Numpy

What can we really do with Numpy? Why should we use it at all ?

Start with : import numpy

1. We can create arrays .

method: numpy.array(object, dtype=None, copy=True, order='K', subok=False, ndmin=0)

>>> a = numpy.array(range(10))
>>> a
array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
>>> a.dtype
dtype('int32')

In the above array, there are 10 columns and 1 row.

Note : The concept of rows and columns applies when you have a 2D array. However, the array numpy.array([1,2,3,4]) is a 1D array and so has only one dimension, therefore shape rightly returns a single valued iterable.

Refer this link.