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:
SYN spoofing attacks.
Explanation:
The Spoofing attack is used to access the personal information it is distributed the viruses through infected links or file .The spoofing attacks has redistributed the traffic and the flow control in the denial-of-service attacks.
The SYN spoofing attacks is used the spoofed source in the result of giving response to packet The Spoofing attack is distributed across the Internet also it is detectable
Answer:
Explanation: c vecause am pro
Answer:
QoS
Explanation:
We could use a blacklisting or a MAC filtering to remove from the network, and in this way, we're going to get a high portion of bandwidth, but other must work too, and the whitelisting have almost the same function, but QoS Quality of service is specifically for these cases where we need high bandwidth for a video conference, we can make this with some tools or techniques like jitter buffer and traffic shaping.
Explanation:
2.there will be 8 books left on the shelf if each child takes one
