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avanturin [10]
3 years ago
10

Conduct online research and provide some guidelines on how to secure a web browser. (CyberSecurity plato)

Computers and Technology
1 answer:
Mashcka [7]3 years ago
7 0

Answer:

RTX 3090

Explanation:

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Question 2 (2 points)
bezimeni [28]

You can add a bookmark by clicking the star icon

<u>Explanation:</u>

Sometime you may have to visit a same page many times. It will be very difficult to search every time and go to the same page. It will be waste of time. Hence, there is an option available so that you can visit the page that you want to access many time without wasting your time.

In order to visit the page that you want to access more frequently you can use two ways. Most of the browsers will support to visit the most frequently accessed websites using the keyboard shortcuts Ctrl+D. You can also click on the star icon that is present in the address bar of the browser's top portion.

3 0
3 years ago
7.
lina2011 [118]

Answer:

16GB RAM

Explanation:

4 0
3 years ago
The part of the computer that contains the brain or central processing unit is also know as the
mart [117]
The part of the computer that contains the brain is called the motherboard.
3 0
3 years ago
Read 2 more answers
How to move files and folders from desktop in w10?
Oksana_A [137]
Press CTRL + X to cut the file(s) and folder(s) you wish to move from your desktop.

Go to your destination (where you would like to move them to), and press CTRL + V to paste them there.
4 0
3 years ago
The Monte Carlo method is commonly used to approximate areas or volumes of shapes. In this problem, we will use Monte Carlo to f
sdas [7]

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.

4 0
3 years ago
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