import numpy as np

#integers

i=10
print(type(i))

a_i=np.zeros(i,dtype=int)	#declare an array of ints
print(type(a_i))			#will return ndarray
print(type(a_i[0]))			#will return int64

#floats

x=119.0					#floating point number
print(type(x))			#print out the data type of x

y=1.19e2				#float 199 in scientific notation
print(type(y))			#print ouf the data type of y

z=np.zeros(i,dtype=float)	#declare array of floats
print(type(z))				#will return nd array
print(type(z[0]))			#will return float64
import numpy as np

#integers

i=10
print(type(i))

a_i=np.zeros(i,dtype=int)	#declare an array of ints
print(type(a_i))			#will return ndarray
print(type(a_i[0]))			#will return int64

#floats

x=119.0					#floating point number
print(type(x))			#print out the data type of x

y=1.19e2				#float 199 in scientific notation
print(type(y))			#print ouf the data type of y

z=np.zeros(i,dtype=float)	#declare array of floats
print(type(z))				#will return nd array
print(type(z[0]))			#will return float64
#integers #declare an array of ints #will return ndarray #will return int64 #floats #floating point number #print out the data type of x #float 199 in scientific notation #print ouf the data type of y #declare array of floats #will return nd array #will return float64