Array Creation:
===============
array():
=======
	Syntax:
		numpy.array(object, dtype = None, copy = True, order = None, subok = True/False, ndmin = 0)

order = A (both row and column)
	C (in row)
	F (in Column)

1d array: [1,2,3]
2d-array: collection of 1-d arrays
	[[1,2,3],[3,4,5],[5,6,7]]
3d-array: collection of 2-d arrays
	[[[1,2,3],[4,5,6]],[[7,8,9],[10,11,12]]]

Creation of an array by specifying the Dimension value:
=======================================================
Syntax:
	numpy.array(object, ndmin = value)

import numpy as rk

# create an array with ndmin value

a = rk.array([1,2,3,4],ndmin = 3)
b = rk.array([[1,2,3,4,5],[5,4,3,2,1]],ndmin = 4)

print(a)
print(b)

===========================================================

shape
=====
	==> a built-in parameter in NumPy
		which we can use to get the shape of the array
	==> shape of array ==> row and column
	Syntax:
		array-name.shape

Ex:
a = 
	[[1,2,3],
	[4,5,6],
	[7,8,9]]	==> 2-d array ==> consisting of three 1d-arrays.
		Each 1d-array ==> row
		the total rows ==> 3
		In this row: three elements
		element ==> value at column
		total columns => 3
Shape ==> 3 X 3

Ex:
	[[[1,2,3],[4,5,6]],
	[[3,2,1],[6,5,4]],
	[[7,8,9],[10,11,12]]' ==> 3d-array
		In this definition:
			total 2d-arrays ==> 3 (length of 3d-array)
			each 2d-array ==> 2-1darrays (length of 2d-array)
			each 1d-array ==> 3-elements (length of 1d-array) 
	3 X 2 X 3

Ex:
	[[[[1,2],[3,4]],[[5,6],[7,8]]]
	[[[8,7],[6,5]],[[4,3],[2,1]]]
	[[[1,3],[5,7]],[[2,4],[6,8]]]] ==> 4d-array
		In this definition:
			total number of 3d-arrays ==> 3 (length of 4d-array = 3)
			each 3d-array ==> 2 2d-arrays ==> length of 3d-array = 2
			each 2d-array ==> 2 1d-arrays ==> length of 2d-array = 2
			each 1d-array ==> 2 elements ==> length of 1d-array = 2

Shape ==> 3 X 2 X 2 X 2

import numpy

a = numpy.array([1,2,3,4])  # 1-d array
b = numpy.array([[1,2,3],[4,5,6]]) # 2d-array
c = numpy.array([[[1,2,3,4],[5,6,7,8]],[[4,3,2,1],[8,7,6,5]]])  # 3d-array
d = numpy.array([[[[1,2],[3,4]],[[5,6],[7,8]]],[[[9,10],[11,12]],[[13,14],[15,16]]]])  # 4d-array

print("The Shape of array a = ",a.shape)
print("The Shape of array b = ",b.shape)
print("The Shape of array c = ",c.shape)
print("The Shape of array d = ",d.shape)

============================================================
strides:
========
Syntax:
	array-name.strides
Ex:
a = 
	[[1,2,3],
	[4,5,6],
	[7,8,9]]	==> 2-d array ==> consisting of three 1d-arrays.
3 X 3
3-rows
and 3-columns
strides ==> 12-bytes, 4-bytes

Ex:
	[[[1,2,3],[4,5,6]],
	[[3,2,1],[6,5,4]],
	[[7,8,9],[10,11,12]]' ==> 3d-array

strides: 24-bytes, 12-bytes, 4-bytes

Ex:
	[[[[1,2],[3,4]],[[5,6],[7,8]]]
	[[[8,7],[6,5]],[[4,3],[2,1]]]
	[[[1,3],[5,7]],[[2,4],[6,8]]]] ==> 4d-array

strides: 32-bytes, 16-bytes, 8-bytes, 4-bytes

import numpy

a = numpy.array([1,2,3,4])  # 1-d array
b = numpy.array([[1,2,3],[4,5,6]]) # 2d-array
c = numpy.array([[[1,2,3,4],[5,6,7,8]],[[4,3,2,1],[8,7,6,5]]])  # 3d-array
d = numpy.array([[[[1,2],[3,4]],[[5,6],[7,8]]],[[[9,10],[11,12]],[[13,14],[15,16]]]])  # 4d-array

print("The Strides of array a = ",a.strides)
print("The Strides of array b = ",b.strides)
print("The Strides of array c = ",c.strides)
print("The Strides of array d = ",d.strides)