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.
Bar chart.
Pie chart.
Line chart.
Answer:It all depends on who the reader is likely to be and the information they’ll want.
Explanation:
Newspaper 1: Company wins contract
Newspaper 2: Previous company loses contract (equally true)
Newspaper 3, say a student paper in the local town: Prospects for new jobs open up as company wins contract.
They have different semantics, <span>addition to having different semantics from </span>double<span>, </span>int<span> arithmetic is generally faster, and the smaller size (32 bits vs. 64 bits) leads to more efficient use of caches and data transfer bandwidth.....
Did That Help You In Anyway </span>
Security/Insider threats.
As much as cloud computing is good for your organization, just know that someone is looking after your data. The cloud provider does everything for you from maintenance to managing security. The bigger picture here is that users are entrusting their data to someone else. Although the work of cloud providers is to ensure that your data is safe, some are not always looking after your best interests.
Cyber-attacks.
Any time your data is stored on the cloud, you are at a higher risk of cyber-attack. Vulnerabilities such as DDoS attacks might occur and this single point of failure is in the cloud. As cloud computing continues to become more sophisticated, so do cyberattacks. As much as the security is right, hackers will go to any lengths to penetrate the systems.
