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.
Global source and binary.
Support for mixed-script computing environments.
Improved cross-platform data interoperability through a common codeset.
Space-efficient encoding scheme for data storage.
Reduced time-to-market for localized products.
Expanded market access.
Answer:
It is any information that is audio or video but not text.
Explanation:
<span>Which is not a component of a database that describes how data is stored?</span>
Answer: Any person or people asking about someone being a hardware or software person displays that they are questioning about the computer knowledge of the person and his/her interest.
The interest can be regarding software tools for programming, designing , etc or hardware device like troubleshooting, assembling the computer parts ,etc.
The person persisting good knowledge about software programming language and software is diverted towards software side .The person who likes to deal with hardware parts of the computer system is hardware-oriented person.
