1-basics.py

# import numpy as np

# Note! remember through out the crash course
# np arrays behaves like matrix 

# return current version of numpy you're using
# print(np.__version__)

# # creates 1-d array
# a = np.array([1,2,3])
# print(a)
# # return array shape in (rows, columns)
# print(a.shape)
# # return data type
# print(a.dtype)
# # return dimension of the array as it is 1 dimesional array
# print(a.ndim)
# # return array size
# print(a.size)
# # return size of each element as its data type is int64 mean 64 bits = 8 byte
# print(a.itemsize)
# return value at index a[0]
# print(a[0])
# # set the value at specific index
# a[0] = 10

# # Some Basic Mathematical operations
# a = [1, 2, 3]
# print(a + 2)
# print(a - 2)
# print(a * 2)
# print(a / 2)

# # Some Mathematical operations between Arrays
# # a = [1, 2, 3]
# b = np.array([4, 5, 6])
# print(b + a)
# print(b - a)
# print(b * a)
# print(b / a)