<span>True that technology can cause a drop in input cost. In a production process, there are three kinds of cost that called input cost, which are the direct material cost, direct labor cost, and overhead cost. Technology usage can make the production process more efficient by reducing labors included in the process. This condition leads to a cost reduction.</span>
Answer:
// program in Python to check perfect number
#function to find number is perfect or not
def is_Perfect_Number(n):
#total variable
tot = 1
i = 2
#sum of all divisor of number
while i*i<=n:
if n%i==0:
tot = tot + i + n/i
if tot == n and n != 1:
return 1
i = i+1
return 0
#read until user enter a perfect number
while True:
#read integer
num = int(input("Input an integer: "))
#call the function
if(is_Perfect_Number(num)):
print(num,"is perfect number")
#if perfect number break
break
else:
print(num,"is not a perfect number")
#ask again
print("try again.")
Explanation:
Read number from user and then call the function is_Perfect_Number() with parameter "num".This will find the sum of all divisor of number.If sum is equal to number then it will return 1 else return 0.If the number is not perfect then it will again ask to enter a number until user enter a perfect number.
Output:
Input an integer: 24
24 is not a perfect number
try again.
Input an integer: 28
28 is perfect number
Answer:
- import math
-
- def standard_deviation(aList):
- sum = 0
- for x in aList:
- sum += x
-
- mean = sum / float(len(aList))
-
- sumDe = 0
-
- for x in aList:
- sumDe += (x - mean) * (x - mean)
-
- variance = sumDe / float(len(aList))
- SD = math.sqrt(variance)
-
- return SD
-
- print(standard_deviation([3,6, 7, 9, 12, 17]))
Explanation:
The solution code is written in Python 3.
Firstly, we need to import math module (Line 1).
Next, create a function standard_deviation that takes one input parameter, which is a list (Line 3). In the function, calculate the mean for the value in the input list (Line 4-8). Next, use the mean to calculate the variance (Line 10-15). Next, use sqrt method from math module to get the square root of variance and this will result in standard deviation (Line 16). At last, return the standard deviation (Line 18).
We can test the function using a sample list (Line 20) and we shall get 4.509249752822894
If we pass an empty list, a ZeroDivisionError exception will be raised.
Answer:
import re
with open("../../Downloads/Tweets.txt","r", encoding="utf-8") as tweets:
myfile = tweets.readlines()
for item in myfile:
item = item.rstrip()
mylist = re.findall("^RT (.*) ", item)
if len(mylist) !=0:
for line in mylist:
if line.count("#") >=1:
ln = line.split("#")
dm = ln[1]
print(f"#{dm}")
Explanation:
The python source code filters the document file "Tweets" to return all tweets with a hashtag flag, discarding the rest.
Answer:
Education
Explanation:
Most apps for <u>learning</u> a new language are for educational purposes and are most likely an education type of app.
