Write an interactive Python program composed of several functions that manipulate strings in different ways. Your main() function prompts the user for a series of strings which are placed into a list container. The user should be able to input as many strings as they choose (i. e., a sentinel-controlled loop). Your main function will then pass this list of strings to a variety of functions for manipulation (see below). The main logic of your program must be included within a loop that repeats until the user decides he/she does not want to continue processing lists of strings. The pseudo code for the body of your main() function might be something like this:

The kurt vonnegut commencement speech, the neiman-marcus chocolate chip cookie recipe, and the get-well emails to the dying boy are examples of select one: a. social engineering b. hoax emails c. email viruses d. worms

Select the correct answer. andy received a potentially infected email that was advertising products. andy is at risk of which type of security threat? a. spoofing b. sniffing c. spamming d. phishing e. typo-squatting

When making changes to optimize part of a processor, it is often the case that speeding up one type of instruction comes at the cost of slowing down something else. for example, if we put in a complicated fast floating-point unit, that takes space, and something might have to be moved farther away from the middle to accommodate it, adding an extra cycle in delay to reach that unit. the basic amdahl's law equation does not take into account this trade-off. a. if the new fast floating-point unit speeds up floating-point operations by, on average, 2ă—, and floating-point operations take 20% of the original program's execution time, what is the overall speedup (ignoring the penalty to any other instructions)? b. now assume that speeding up the floating-point unit slowed down data cache accesses, resulting in a 1.5ă— slowdown (or 2/3 speedup). data cache accesses consume 10% of the execution time. what is the overall speedup now? c. after implementing the new floating-point operations, what percentage of execution time is spent on floating-point operations? what percentage is spent on data cache accesses?