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:
boss is not an os
Explanation:
boss is a former of Linux hope this helped
Answer:
One-to-one is the answer because there is one project and one employee working on one project.
Answer:
The answer is "Option d"
Explanation:
The scanner method is the full token of the process, that finds and returns. It is token, which is followed by both the inputs meeting and the guideline template. This method can block, even though the former instance of hasNext() is true while waiting for input, and wrong choices can be described as follows:
- In option a, It is incorrect because the character at the beginning can't be
considered.
- In option b, It is wrong because the characters are known as the word in which blank space not a part of the word.
- In option c, It is wrong because in this input before the call is not the method.
