import numpy as np

x = [[11,22],[33,44]]

y = [[55,66],[77,88]]

x1 = np.array([[11,22],[33,44]], dtype=np.int32)

y1 = np.array([[55,66],[77,88]], dtype=np.int32)

print("ADD USING LIST\n",x + y)

print("ADD NUMPY ARRAY\n",np.add(x1, y1))

### Datatypes in Numpy

import numpy as np

x = np.array([101, 202])

print(x.dtype)

x = np.array([11.75, 21.75])

print(x.dtype)

x = np.array([1, 2], dtype=np.int64)

print(x.dtype)

x = np.array([1, 2], dtype=np.complex128)

print(x.dtype)

x = np.array([101, 202])

print(x.dtype)

x = np.array([11.75, 21.75])

print(x.dtype)

x = np.array([1, 2], dtype=np.int64)

print(x.dtype)

x = np.array([1, 2], dtype=np.complex128)

print(x.dtype)

### 2D-array representation using with & without numpy implementation

import numpy as np

a = np.array([[1,2,3,4], [5,6,7,8], [9,10,11,12]])

print ("Using Numpy\n",a)

b=[[1,2,3,4], [5,6,7,8], [9,10,11,12]]

print ("Without Numpy\n", b)

a = np.array([[1,2,3,4], [5,6,7,8], [9,10,11,12]])

print ("Using Numpy\n",a)

b=[[1,2,3,4], [5,6,7,8], [9,10,11,12]]

print ("Without Numpy\n", b)

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