Answer:
What do you want me to do
Explanation:
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:
First Time Unique Visitor
Explanation:
I majored in
They began in ancient times the babylons started trading
Answer:
Check the explanation
Explanation:
(a) There will be a need for the database to support a comparatively complex and complicated hierarchical internal record structure that may vary for each record. Column store NoSQL DBMS
(b)The key requirements for the database are to access a specific record structure as quickly as possible without any concern regarding the internal structure of the record. Key value store NoSQL DBMS
(c) The data are specifically well suited to be organized as a network of connections amid the data items. Graph Base NoSQL DBMS
(d) It is essential that the DBMS offers quick access to each of the records by a key value, but, in addition, it has to also allow easy access to the components of each record. Document store NoSQL DBMS
