What is the purpose of the range() function in Python when used for counting?

. What is the purpose of the range() function in Python?AGenerate a sequence of numbersBFind the length of a listCMultiply two numbersDReverse a string

7. What is the purpose of the range() function in Python when iterating over a list? A) To create a new list with a range of numbers B) To return a boolean value indicating if a list contains a specific value C) To return an iterator that generates a sequence of numbers D) To modify the elements in a list 38. What is the difference between a parameter and an argument in Python functions? A) There is no difference, the terms can be used interchangeably B) A parameter is a variable declared in a function, while an argument is the value passed to the function when it is called C) An argument is a variable declared in a function, while a parameter is the value passed to the function when it is called D) A parameter is a required value in a function, while an argument is optional

What are the possible loop values that can be specified in the range argument of a for loop in Python, and why are these values used? Integers, representing the starting and ending points of the loop, allowing iteration through a specified range of numbers. Floating-point numbers, enabling iteration through decimal ranges with precise steps. Strings, facilitating iteration through characters in a specified string Tuples, allowing iteration through multiple sequences simultaneously.

Which of these following statements is true? The range function produces a list of numbers from the start to stop (both inclusive), with the specified step size. The only difference between the range function from the base library and the arange function from the NumPy library is that range produces a list as an output whereas arange produces a NumPy array as the output. The arange function from the NumPy library produces 50 numbers between the start and the end points (both inclusive) by default. While using linspace from the NumPy library, it is possible to get the step size (spacing between the samples) as part of the output.

What does the following code  print?                                                                                                                                                                                                                              nums = [3, 5, 16, 27]                                                                                                                                                                                                                   some_nums = list(filter(lambda num: num < 10, nums))                                                                         print(some_nums)*Your answer