It means get in the kitchen woman that’s what cookery means
Answer:
#include <iostream>
using namespace std;
int main()
{
int length = 8;
int width = 8;
int perimeter = 2*(length + width);
int area = length * width;
cout<<"The perimeter is "<<perimeter<<endl;
cout<<"The area is "<<area<<endl;
return 0;
}
Explanation:
include the library iostream for using the input/output instructions in the c++ programming.
Create the main function and define the variable length and width with values.
Then, use the formula for calculating the perimeter and area of rectangle.
and store in the variables and finally print the output.
Answer:
x = int(input ("enter first number: "))
y = int(input ("enter second number: "))
z = int(input ("enter third number: "))
print('%6d %6d %6d' %(x,y,z))
Explanation:
Using python programming language we receive three integers variables (x,y,z) then using string formatting (%6) which specifies that the output should be right justified with a width of 6, the values are printed out.
Stage Selected Values in the Sales Processes
Explanation:
A system administrator is the individual responsible for maintaining, configuring, and managing computer systems efficiently, particularly multi-user machines like servers.
Defining opportunities which comprise the selling process appropriately is one of the main functions for any company using Sales-force to monitor the performance of its sales process.
The Opportunity Stage Sales-force model off - the-box standards also reflect not the vocabulary or process that sales people use in the company As a result, Sales-force companies frequently make three main mistakes when describing their selling terminology.
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.
