Answer:
Deque: You need to keep a record of the ages of the last 50 customers visit a restaurant. As new customers come in you delete the age that has been in the list the longest.
Tuple: You need to store the GPS coordinates of the hospitals in a state in order to find the nearest hospital for ambulance helicopters.
List: You write a loop to save anywhere from 10 to 100 values from a user. You will pass the collection to a function to find the average.
Explanation: Just got the results back no thanks to the guy above
I’m guessing that what’s being looked at here moreso is the space complexity of these algorithms. Heap sort and insertion sort I believe have the lowest of these, but insertion sort is also known to not be the best with time complexity. Therefore heap sort should take the cake
If you're programming in python, you simply have to assign a value to x and then use the print function. For instance,
x = 3
print(3 * x)
9 will be the output. I hope this helps!
Answer:
First two statements: yes. Last two: not so much.
But many of the better ones do have advanced degrees, but some don't.
The laboratory statement is silly; they sit behind a set of screens figuring out stuff and writing code.
Answer:
In Python:
def split(A):
L=[]; G=[]
for i in range(1,len(A)):
if (A[i] != A[0] and A[i] < A[0]):
L.append(A[i])
if (A[i] != A[0] and A[i] > A[0]):
G.append(A[i])
return L, G
Explanation:
This defines the function
def split(A):
This initializes the L and G lists
L=[]; G=[]
This iterates through the original list A
for i in range(1,len(A)):
This populates list L using the stated condition
<em> if (A[i] != A[0] and A[i] < A[0]):</em>
<em> L.append(A[i])</em>
This populates list G using the stated condition
<em> if (A[i] != A[0] and A[i] > A[0]):</em>
<em> G.append(A[i])</em>
This returns the two lists L and G
return L, G
