Create the following functions makeBoard Accepts two parameters, integers mm and nn, and creates an mm x nn numpy array of zeros  Returns the created array makeMove Accepts two parameters, a 2D array (such as created by makeBoard), and an integer xx Checks if the value at position xx in the array is 0. If it is, changes it to 1 and returns True If it isn't, does not change it and returns False Position xx in the array is given by reading the array top-down and left-to right. A simple 2x3 array is seen below with each value representing its position You may assume without checking that the value of xx provided is valid, that is it is within the array. Hint: Arrays have a property you can use to determine their shape. Hint: This function may (and indeed should) contain if statements, but no loops. Sample array with positions: [[0 1 2] [ 3 4 5]] For testing purposes, you may copy the function provided here into your code def playGame(mm,nn):     board = makeBoard(mm,nn)     play = True     while play:         pos = np.random.randint(0,mm*nn)         print(f"Move to position {pos}")         play = makeMove(board,pos)         print(board)     print('Game Over')

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()

# dates and times with lubridateinstall.packages("nycflights13") library(tidyverse)library(lubridate)library(nycflights13) Qustion: Create a function called date_quarter that accepts any vector of dates as its input and then returns the corresponding quarter for each date Examples: “2019-01-01” should return “Q1” “2011-05-23” should return “Q2” “1978-09-30” should return “Q3” Etc. Use the flight's data set from the nycflights13 package to test your function by creating a new column called quarter using mutate()

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…