I’m not sure what you’re asking, what about a presentation? Reply back to this and lmk so I can figure it out for ya!!
Answer:
quicksort
Explanation:
There are many types of asymptotically efficient sorting algorithms that can be used but one of the more commonly used for large data lists would be quicksort. This is a sorting algorithm that focuses on choosing a value from the list and working around that value in order to sort the data piece by piece. For larger data sets this method is widely used due to its speed and efficiency which is exactly what Martha needs in this scenario.
Answer:
import numpy as np
def sample_median(n, P):
return np.median( np.random.choice ( np.arange (1, len(P) + 1 ), n, p = P ) )
print(sample_median(10,[0.1 0.2 0.1 0.3 0.1 0.2]))
print(sample_median(10,[0.1 0.2 0.1 0.3 0.1 0.2]))
print(sample_median(5, [0.3,0.7])
print(sample_median(5, [0.3,0.7])
Explanation:
- Bring in the numpy library to use the median function provided by the numpy library.
- Define the sample_median function that takes in 2 parameters and returns the median with the help of built-in random, choice and arrange functions.
- Call the sample_median function by providing some values to test and then display the results.
Output:
4.5
4.0
2.0
1.0
Angela should make sure the hamburger patty is disposed of and a new one prepared for the hamburger. She should reprimand Patty as what she did is wrong. Patty could well be fired for what she did. It is unsafe and unsanitary to give a customer food that has fallen on the floor. Angela should make sure this never happens again.
Answer:
your a legend you can do it just pleave
Explanation:
:)
