Please answer it in python using function turtle-Write a polygon(nb cotes.dimension) function that plots a polygon that is regular tonb cotes sides (triangle, square, pentagon, hexagon..) and whose length of aeast side. The first side drawn should be horizontal and you should rotate inclockwise (see figure opposite).polygone (6,50)-Write a function diametre polygone(nb cotes dimension) that returns the diametera regular polygon with nb cotes length dimension. This diameter is given by thenext formula, with n number of sides and c the length of the side (do not forgetto import the math module):Csin (T/n)

Algorithm: Start Import turtle and math modules Implement polygon() method which takes no.of sides…

Answered: Please answer it in python using…

Computer Networking: A Top-Down Approach (7th Edition)

7th Edition

ISBN:9780133594140

Author:James Kurose, Keith Ross

Publisher:James Kurose, Keith Ross

Chapter1: Computer Networks And The Internet

Section: Chapter Questions

Problem R1RQ: What is the difference between a host and an end system? List several different types of end...

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The code should be in C and not hard-coded. It should use 2D arrays.
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Declare 2D array whose size and elements must be according to the desire of user then perform the following functions on it Display a lower triangular matrix. Find the sum of an upper triangular matrix. DO IT IN C++
Java code Screenshot and output is must
python function!: a function called popular_color with one parameter, of type dict[str, str] of names and favorite colors. The return type is a str and it is the most commonly occuring color. If two colors are tied for popularity, the first color shown will be picked.
Prompt: In Python language, write a function that applies the logistic sigmoid function to all elements of a NumPy array. Code: import numpy as np import math import matplotlib.pyplot as plt import pandas as pd def sigmoid(inputArray): modifiedArray = np.zeros(len(inputArray)) #YOUR CODE HERE: return(modifiedArray) def test(): inputs = np.arange(-100, 100, 0.5) outputs = sigmoid(inputs) plt.figure(1) plt.plot(inputs) plt.title('Input') plt.xlabel('Index') plt.ylabel('Value') plt.show() plt.figure(2) plt.plot(outputs,'Black') plt.title('Output') plt.xlabel('Index') plt.ylabel('Value') plt.show() test()
Complete this code using Python m1 = [] #Matrix 1m2 = [] #Matrix 2#Write a function that will return the addition of Matrix A and B.#Create a new matrix C that will hold the addtion result of Matrix A and B (A+B).#Return the resultant matrix Cdef addMatrix(A,B):#Write your code here#Write a function that will return the subtraction of Matrix B from A.#Create a new matrix C that will hold the substraction result of Matrix B from A (A-B).#Return the resultant matrix Cdef subsMatrix(A,B):#Write your code here#Write a function that will return the multiplication of Matrix A and B.#Create a new matrix C that will hold the multiplication result of Matrix A and B (A*B).#Keep in mind,in order to perform matrix multiplication, the number of columns in Matrix A must be equal to the number of columns in Matrix B. #Return the resultant matrix Cdef multipyMatrix(A,B):#Write your code here#Write a function that will transform matrix A to the transpose of matrix A.#The transpose of a matrix means…
In cpp
Write the following function #input: a numerical vector x #output:the normalized vector, i.e. the vector rescaled into [0,1] # the formula to normalize is (x-min(x))/ (max(x)-min(x)) # you can NOT use the functions min and max # you can use %%, nrow, ncol, and length # you can write multiple functions
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Please use scilab, image of code would be extra helpful. Needs to be scilab please.

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