Suppoce we're given numpy arrays of names and scores, where each row in the scores array lists the midterm and final scores for that respective student. For example, Carol has a 75 on the midterm and 99 on the final. names = np. array([ "Alice" "Bob". "Carol","Derek ","Erin"]) Scores = np.array([ [95, 98], [82, 88], [75, 99], [80, 90], 85, 82 ]]) Write function avgMidtermNoC that takes ve parameters names and score arrays, and returns the average score on the midterm, exduding anyone who's name starta with C.

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()

this is insturction Write a program which prompts the user to enter up to 15 floating point numbers (terminated with a non-numeric), reads them into an array, then prints the following. The program must use an array (not a vector) to get credit. The array values in the original order, separated by commas, with no trailing comma at the last value. The array values where the order of each adjacent pair of elements is swapped, separated by commas (NOT every element swapped with its next neighbor, which would just move the first element to the end, but every original pair swapped only in that pair. For an odd element count, the last element should not change. See examples below.) The smallest number in the array. Example program outputs with user input shown in bold font: Enter up to 15 numbers, and a non-numeric to quit: 1 0 -1.001 # Original array: 1, 0, -1.001 The swapped array: 0, 1, -1.001 Smallest number: -1.001 Enter up to 15 numbers, and a non-numeric to quit: 1 0 -1.001 5 ,…

Define the array printed below using the np.array() function, and assign it to the variable 'my_array' (only one line of code needed).   [[0, 2, 4],[9, -6, 5],[0, 0, -10]]