4.def modify_data(x, my_list):X = X + 1my_list.append(x)print(f"Inside the function: x = {x}, my_list = {my_list}")num = 5numbers = [1, 2, 3]modify_data(num, numbers)print(f"Outside the function: num = {num}, my_list = {numbers}")ClasseClassethat linThus,A prois refinterEverdictTheThe output:Inside the function:?Outside the function:?

Understanding Function Parameters in PythonIn Python, how data behaves when passed to a function…

Answered: 4. def modify_data(x, my_list): X = X +…

C++ for Engineers and Scientists

4th Edition

ISBN:9781133187844

Author:Bronson, Gary J.

Publisher:Bronson, Gary J.

Chapter7: Arrays

Section7.5: Case Studies

Problem 3E

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Implement the following functions: - code should be in python
In loop_functions.py, define a function named list_concat that takes a single parameter li. This function creates a string from the list of strings, li, by concatenating all strings in the list and inserting a space after each list element. At the end of the function, it returns the concatenated string. See the table below for example input/output. Before implementing this function, determine whether you need a for loop or a while loop. Your implementation should not use any if statements. Test your code against the tests in zyLab (22.14 Lab week 7: Exercise 2: loop_functions).
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The mapped list pattern Our second pattern is the mapped list pattern, described in video 4 3 mapped list pattern. Often we need to write a function that takes a list as a parameter and returns a new list in which each item in the original list is "mapped" to a new item in the result list. For example, the following function takes a list of numbers as a parameter and returns a list of all the numbers squared, e.g. squares ( [1, 3, 7]) returns [1, 9, 49]. def squares (nums): "Returns the squares of the given numbers""" result = [] for num in nums: result.append (num * num) return result Although this is just a special case of the accumulator pattern, it is so common that we give it its own name: the mapped list pattern. Consider the following function: def squares(nums): ""Returns the squares of the given numbers""" result = [] for num in nums: result.append (num * num) return result If the main program calls print(squares ( [5, -3, 2, 7]) what is the state table for the function…

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