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:
Ladders are not moved, shifted, or extended while a worker is on them.
Explanation:
It's the most logical answer out of the others.
0.0005 x 10⁻⁴ Farad = 0.000 000 05 Farad.
1 pF = 0.000 000 000 001 Farad
Divide them and get 50000 pF.
Answer: d) Exploit
Explanation: Exploit is a type computer attack that successful when the computer system of an user is vulnerable and attacker can do the exploitation. This happens due to the weakness of the system, applications software, network etc.
Other given option are incorrect because exit door,glitch and bad are not any type of attack in the computer field that causes harm to the system.Thus the correct option is option(d).
