Array Creation Routines:
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1) zeros():
==========
==> built-in function in NumPy.
==> use to create an array by specifying the desired shape of the array as a tuple or an integer.
Syntax:
	numpy.zeros(shape, dtype = float, order = 'C')

import numpy

# creating the array with zeros

a = numpy.zeros(10)

print(a)

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

import numpy

# creating the array with zeros

a = numpy.zeros(10)

print(a)

b = numpy.zeros(6, dtype = 'i2')

print(b)
print(b.dtype)

c = numpy.zeros([4,4],dtype = 'i1')  # 4 X 4 Matrix

print(c)
print(c.dtype)

d = numpy.zeros((7,),dtype = [('x', 'int'),('y','float')])

print(d)
print(d.dtype)
=========================================
ones():
=======
==> we can able to create the array by setting the element as '1'.
Syntax:
	numpy.ones(shape, dtype = float, order = 'C')

import numpy

a = numpy.ones(5) # with ones with length of 5

print(a)
print(a.dtype)

b = numpy.ones((4,5))

print(b)
print(b.dtype)

c = numpy.ones((3,4,5),dtype = 'i2')

print(c)
print(c.dtype)

==============================================
arange():
=========
range() 
	range(10) ==> 0, 9
	range(1,20) ==> 1, 19
	range(1,30,2) ==> 1,3,5,7,9,...29

==> arange() in numpy is a built-in function 
	which can use to create an array by generating a sequence of numbers based on specified start, stop and step values.
Syntax:
	numpy.arange([start,] stop[,step,] dtype = None)

import numpy

a = numpy.arange(10)

print("The Array a = ",a)
print(a.dtype)

b = numpy.arange(10,100,10)

print("The Array b = ",b)

c = numpy.arange(1,20,3,dtype = 'f2')

print(c)

============================================
linspace()
==========
==> built-in function
==> used to create an array with evenly spaced values over the specified interval.
==> this can accept:
	start, stop and number of elements etc.
Syntax:
	numpy.linspace(start, stop, num = x, endpoint = True, dtype = None)

import numpy

a = numpy.linspace(1,5,num = 8) # default endpoint = True ==> stop value can include for the creation of the array 

print("The Array = ",a)
print(a.dtype)

b = numpy.linspace(1,3,num = 5, endpoint = False) # endpoint = False ==> stop value cannot include for the array creation

print(b)
=====================================================
random.rand()
=============
dice ==> when we can roll a dice
	get ==> 1/2/3/4/5/6

rand() is a built-in function of numpy random module
	which we can use to create an array with specifying of dimensions.

Syntax:
	numpy.random.rand(d0, d1, d2, d3, ..... dn)

import numpy

a = numpy.random.rand()  # can generate a value from 0 to 1

print(a)
# print(a.dtype)

b = numpy.random.rand(6) # can craete the array with 6 element
print(b)
print(b.dtype)

c = numpy.random.rand(2,3)
print(c)

d = numpy.random.rand(2,3,4,5)

print(d)
==============================================
empty()
=======
==> built-in function can also use to create an array by specifying/accepting the shape of an array.
Syntax:
	numpy.empty(shape, dtype = float, order = 'C')

import numpy

a = numpy.empty((2,3))

print(a)

b = numpy.empty((2,3,4),dtype = 'i1')
print(b)