Given 4 floating-point numbers. Use a string formatting expression with conversion specifiers to output their product and their average as integers (rounded), then as floating-point numbers. Output each rounded integer using the following:print('{:.0f}'.format(you r_value))Output each floating-point value with three digits after the decimal point, which can be achieved as follows:print('{:.3f}'.format(your_ value))Ex: If the input is:8.310.45.04.8the output is:2072 72071.680 7.125

Think about a recent customer service experience - either positive or negative. write a brief summary of that experience. now think about those four characteristics we look for in customer service representatives. how did the representative in your example stack up? write down your answer and give specific examples.

What is used to analyze and summarize your data without graphical support

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?