Answer:
Explanation:
The three most notable differences that any user will notice between these two would be the following
- High-Resolution Display
- Specific Hardware (graphics tablet, camera, etc)
- Increased Speed
An individual that is working in a career in Animation needs a workstation that is capable of rendering animations which take lots of processing power. Therefore, the workstation would have to be high-end meaning that it will be much faster than a normal personal PC. Animation and Digital Design require a very High-Resolution display and specific hardware to allow you to bring your creations to life and make sure they look as beautiful as possible. All of this is not found in a normal personal PC either.
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:
Following are the solution to this question:
Explanation:
This algorithm uses the divide and rule approach works, which splits the list into two sublists depending on if they are smaller or larger than the pivotal factor. It has O(n*log n) complexity.
It splits down the list in more than one version frequently till every sublist becomes based on a single element and fuses it to offer an ordered array. The merge type works according. It has O(n*log n) complexity.
Please find the attachment file of the sorting.
The answer to this is Optical mouse.
The reason the answer is optical mouse is because the optical mouse is a computer mouse which uses a light source, typically a light-emitting diode, and a light detector, such as an array of photodiodes, to detect movement relative to a surface.
Hope this helped :)
have a great day
You’d probably use a USB Flash Drive.