Answer:
Prototype is a framework that provides a simple API for performing web tasks.
Explanation:
Prototype is a JavaScript framework that aims to ease up the development of dynamic web applications. It basically take out the complexity out of the client-side programming.
Following are some salient features of Prototype:
1) Applies useful methods to extend DOM elements and built-in types.
2) Provides advance support for Event Management.
3) Provides powerful Ajax feature.
4) Built-in support for class-style OOP.
5) Not a complete application development framework
Answer:
The correct answer to the following question will be "JAWS".
Explanation:
- JAWS is a strong accessibility tool, which uses synthesized speech to look for information on your monitor and provides several helpful commands to make it much easier using applications, edit documentation and read pages of the web.
- It's a Microsoft Windows screen reader tool that helps visually and blind impaired people to decode the screen either via a message-to-speech interpretation or with a castable sign language display.
- JAWS is manufactured by Freedom Scientific Blind and Group of Low Vision.
Therefore, JAWS is the right answer.
There are al types of dogs what specific breed are you looking for
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.
