Answer:
right clicking should be your answer
Answer:
MS word is Microsoft word and you can use MS Word in daily life and business to create professional-looking documents such as resume, letters, applications, forms, brochures, templates, business cards, calendars, reports, eBooks, and newsletters in speed with high quality.
Explanation:
Answer:
the explanations is down here,
Explanation:
Information
Data reaches a more complex level and becomes information by integrating them to a context. Information provides expertise about facts or persons. Example of information: The information about a date of birth still has very little value when it is unknown to which person it belongs. By adding more information like the name, the linked information creates knowledge about a person.
Knowledge
Knowledge thus describes the collected information that is available about a particular fact or a person. The knowledge of this situation makes it possible to make informed decisions and solve problems. Thus, knowledge influences the thinking and actions of people. Machines can also make decisions based on new knowledge generated by information. In order to gain knowledge, it is necessary to process information.
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.
For plato I think technical writer is the answer.
Technical writer: As a technical writer, you’ll create user manuals and support guides for a number of computer products and services. You may also develop content to market technical products online.
