Answer:
Object-oriented programming (OOP) is a procedural language and based on classes associated with an object. Without classes and object relationship OOP is not possible. According to program's design concept classes provide abstraction and encapsulation with the help of object. Object have states and behaviors like cat has states like name, color and cat has also behaviors like wagging the tail, eating, jumping etc. A class forms template or blueprints for these states and behaviors because different cats have different behaviors and states.
Methods provide a way for encapsulation and accessing private class members with public methods and static fields are sometimes best alternative for global variable. We can use static field when it same for all and shared by all objects of that class and it can save memory because we do not have to initialize it for each object
Answer:
CMYK
Explanation:
Monitors typically use RGB color (additive model — adding to make white), but offset printing uses CMYK pigments (subtractive color — subtracting from the existing white). Printed images have less visual range, saturation, and contrast than digital images, so in print, colors will usually appear darker and less vibrant.
The numbers of residues separate amino acids that are stabilized by hydrogen bonds in α helices is 3.6 amino acid residues.
<h3>Why are amino acids called residues?</h3>
The Amino acids are known to be compounds that are said to be called residues if there is two or more amino acids that are known to be bond with each other.
Note that the amino group on one amino acid is one that tends to interacts with the carboxyl group and as such form a peptide bond.
Therefore, The numbers of residues separate amino acids that are stabilized by hydrogen bonds in α helices is 3.6 amino acid residues.
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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.
