Answer:
Option D is correct i.e., =DATEDIF(C2, $AE$2, "y").
Explanation:
The user's supervisor well into the following department tells him to compose the feature which measures the amount that times staff has served in their company utilizing the DATEDIF feature. Consider whether C2 includes the hiring dates for that staff and then that cell $AE$2 includes the cut-off point for whom to evaluate the hiring time with the duration of the service.
So, therefore the following option is correct according to the given scenario.
Answer:
import numpy as np
import matplotlib.pyplot as plt
def calculate_pi(x,y):
points_in_circle=0
for i in range(len(x)):
if np.sqrt(x[i]**2+y[i]**2)<=1:
points_in_circle+=1
pi_value=4*points_in_circle/len(x)
return pi_value
length=np.power(10,6)
x=np.random.rand(length)
y=np.random.rand(length)
pi=np.zeros(7)
sample_size=np.zeros(7)
for i in range(len(pi)):
xs=x[:np.power(10,i)]
ys=y[:np.power(10,i)]
sample_size[i]=len(xs)
pi_value=calculate_pi(xs,ys)
pi[i]=pi_value
print("The value of pi at different sample size is")
print(pi)
plt.plot(sample_size,np.abs(pi-np.pi))
plt.xscale('log')
plt.yscale('log')
plt.xlabel('sample size')
plt.ylabel('absolute error')
plt.title('Error Vs Sample Size')
plt.show()
Explanation:
The python program gets the sample size of circles and the areas and returns a plot of one against the other as a line plot. The numpy package is used to mathematically create the circle samples as a series of random numbers while matplotlib's pyplot is used to plot for the visual statistics of the features of the samples.
Answer:
D
Explanation:
Malware can be used for many things, a click of a button can send complete access to the attacking system. Malware comes in all formes and powers.
Ron will most likely want to buy tube lights since that is a good energy saver.
