Answer:
It's the <u><em>power supply</em></u>
Explanation:
The power supply is what essentially enables the computer to operate. It is able to do that by converting the incoming alternating current (AC) to direct current (DC) at the correct wattage rating that is required by the computer to function. The power supply is a metal box that is generally placed in the corner of the case.
Answer:
Data is one of the most valuable resources today's businesses have. ... There are various data-gathering methods you can use with the help of your ... When it comes to data businesses collect about their customers, ... Third-party data offers much more scale than any other type of data, ... Big White Cursor.
Explanation:
System?
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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.
