Print(“Hello World!”)
I hope this helps :) I’m sry is this what you wanted or were you looking for something else because I’m willing to help either way.
Answer:
The correct answer is option (A) Applications, Banking Services, Customer Service
Explanation:
Solution
Methods of filing
There are 5 methods of filing:
• Filing by Subject/Category
• Filing in Alphabetical order
• Filing by Numbers/Numerical order
• Filing by Places/Geographical order
• Filing by Dates/Chronological order
In this case, we can fill by Alphabetical order which is given below
Applications, Banking Services, Customer Service
Answer:
num = float(input("Enter a number : "))
ab = abs(num)
sqrt = float(ab ** 0.5)
print(sqrt)
Explanation:
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:
A linear search is one that scans every record/file until it discovers the value being searched for.
Binary search, on the other hand, is also known as <em>Logarithmic search</em>. It is used to locate the position of a value inside an array that has already been sorted.
The linear search will return the lowest value faster than the binary search when small arrays are involved.
This will only be feasible when the array is sorted prior.
Cheers!