Sort Unique Write a function 'SortUnique(strArr). It should accept an array of strings as input and return a single string containing the sorted unique elements of the input strings. For example, SortUnique(["Research", "Square"]) should return "RSacehqrsu". Examples Input: ["Research", "Square"] Output: RSacehqrsu Input: ["banana", "bandana"] Output: abdn 1 2 3 4 def SortUnique(strArr): #code goes here return strArr #keep this function call here 7 print (SortUnique (input()))

Sol in python apply list and tuples and write comments

JS Write a function named count_in_range that takes a list/array of decimal numbers as a parameter. The function must return the number of entries in the parameter whose value is between 16.67 and 47.61. Your count should NOT include any entries whose value is equal to 16.67 or 47.61.

23. In the C++ language write a program to find the product of all the elements present in the array of integers given below. int numArr[5] = {16,4, 8, 7, 12};

JS Write a function named find_value that takes a list/array of whole numbers as a parameter. Your functio will need to find if the parameter contains the value 3 as an entry. Return true if the input has an entry equivalent to 3 and false if it does not.

Scrabble Scrabble is a game where players get points by spelling words. Words are scored by adding together the point values of each individual letter. Define a function scrabble_score (word:str) -> int that takes a string word as input and returns the equivalent scrabble score for that word. score = {"a": 1, "c": 3, "f": 4, "i": 1, "1": 1, "o": 1, "r": 1, "u": 1, "t": 1, "x": 8, "z": 10} For example, "b": 3, "h": 4, "n": 1, Your Answer: == 20 assert scrabble_score("quick") assert scrabble_score("code") == 7 1 # Put your answer here 2 Submit "e": 1, "d": 2, "g": 2, "k": 5, "j": 8, "m": 3, "q": 10, "p": 3, "s": 1, "w": 4, "v": 4, "y": 4,

Python language

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()

Recamán's sequence def recaman(n): Compute and return the first n terms of the Recamán's sequence, starting from the term a1 = 1.Note how the definition for the current next element depends on whether a particular number is already part of the previously generated part of the sequence. To let your function execute in a speedy fashion even when generating a sequence that contains millions of elements, you should use a set to keep track of which values are already part of the previously generated sequence. This way you can generate each element in constant time, instead of having to iterate through the entire previously generated list. The better technique that saves time by using more memory can create this list arbitrarily far in linear time, and should therefore be fast even for millions of elements, at least until it runs out of memory. n  Expected result 10 [1, 3, 6, 2, 7, 13, 20, 12, 21, 11] 1000000 (a list of million elements whose last five elements are [2057162,1057165,…