Answer:
The code will produce:-
2.4
Explanation:
In this code the result of the arithmetic operation is stored in the variable c.On evaluating the expression it divides 12.0 by 5 which results in 2.4 and it is stored in float variable c.Then it is printed on the screen using print statement.Since the c is double variable so the result will be a decimal number.
Hence the answer is 4.
Answer:
The statement in python is as follows:
to_the_power_of(cube_side,3)
Explanation:
As stated as the requirement of the code segment, the statement takes as parameters a variable cube_side and a constant 3.
It then returns the volume of the cube; i.e. cube raise to power 3
<em></em>
<em>See full program below</em>
<em>def to_the_power_of(val,powe):</em>
<em> result = val**powe</em>
<em> print(result)</em>
<em>cube_side = float(input("Cube side: "))</em>
<em>to_the_power_of(cube_side,3)</em>
Answer:
Answered below
Explanation:
//Program is written in Python programming //language.
number_of_trees = int(input ("Enter number of trees purchased: "))
height_of_trees = float(input("Enter height of trees: "))
delivery_status = input("Do you want trees delivered? enter yes or no ")
price_of_two_meters = 20
total_price = number_of_trees * price_of_two_meters
//Invoice
print (number_of_trees)
print(height_of_trees)
print (total_price)
print (delivery_status)
Answer:
1) Bottom-up
2) Top-down
Explanation:
In general dynamic programming is a divide and conquer strategy which can be implemented using bottom up approach or top down approach.
Bottom-up approach in dynamic programming will solve a relatively simple sub-problem first and then use the solution to build and arrive at solutions to a bigger sub-problem.
Top down approach is reversed to bottom-up approach and is also known as Memoization Method. Instead of solving a problem started from the base state sub-problem, the top down approach break a problem into a smaller problems from the top most destination state until it reaches the bottom most base state.
