Answer:
Usability
Explanation:
The degree to which a program meets the needs of a user, including but not limited to learnability, reliability, and ease of use
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:
True
Explanation:
It is known as Don-Not-Carry rules are implemmented to avoid
-Unauthorized full disk copies (it have been made while the laptop owner was out of the hotel room on overseas travel)
-Laptops steals
- Monitoring by third parties of wireless using.
Answer:
By definition, <u>multiprocessing</u> refers to the processing of multiple processes at the same time by multiple CPUs.
By definition, <u>multiprogramming</u> keeps programs in main memory at the same time and execute them concurrently utilizing a single CPU doing a context switch.
The first difference is that multiprocessing uses multiple CPUs and multiprogramming to utilize context switch to do concurrency in one CPU. Another difference is that multiprocessing is more expensive but more efficient than multiprogramming due that it allows parallel processing.