OUTPUT :
CODE :
def letter_grade(grade):
if grade<0 or grade>100:
print('Invalid grade')
return
if grade>=90 and grade<=100:
return 'A'
elif grade>=80 and grade<90:
return 'B'
elif grade>=70 and grade<80:
return 'C'
elif grade>=60 and grade<70:
return 'D'
else:
return 'E'
Using Python using import numpy as np 3. Write a Python function that is passed a...
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In 17]:import numpy as np import matplotlib.pyplot as plt Implement three different methods to simulate a Poisson process (Nog 100 with parameter λ = 0.1 on the time interval [0, 100]. For each method, plot a trajectory of your simulated process 1. Method 1: In 17]:import numpy as np import matplotlib.pyplot as plt Implement three different methods to simulate a Poisson process (Nog 100 with parameter λ = 0.1 on the time interval [0, 100]. For each method, plot a...
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import numpy as np from scipy.special import comb def cumulative_comb_with_repetition(n, k): """ Compute the number of possible non-negative, integer solutions to x1 + x2 + ... + xk <= n. We will use this function to compute the dimension of order k polynomial feature vector Args: n: integer, the number of "balls" or "stars" k: integer, the number of "urns" or "bars" Returns: the total number of combinations, integer. """ # your code below # your code above...
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