Demonstrating the Scientific Method Using Loops Efficiencies: Hypothesis: One of the following programming approaches is faster...

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Demonstrating the Scientific Method Using Loops Efficiencies: Hypothesis: One of the following programming approaches is faster when processing large amounts of calculations: for loop vs. while loop Determine which is more efficient (takes less time): a for loop or a while loop after a million iterations of the sample computation: math.pow(2,3) Solution: Write a Python program called LoopEfficiecy.py that runs a for loop one million iterations that calculates the cube of 2 using math.pow(2,3) and then runs a while loop one million iterations that calculates the cube of 2 using math.pow(2,3). Capture the elapsd time of each loop and compare the durations to see which loop runs faster. Report the results (copy/paste) and conclusion as comments at the bottom of your source code file. Demonstrating the Scientific Method Using Loops Efficiencies: Hypothesis: One of the following programming approaches is faster when processing large amounts of calculations: for loop vs. while loop Determine which is more efficient (takes less time): a for loop or a while loop after a million iterations of the sample computation: math.pow(2,3) Solution: Write a Python program called LoopEfficiecy.py that runs a for loop one million iterations that calculates the cube of 2 using math.pow(2,3) and then runs a while loop one million iterations that calculates the cube of 2 using math.pow(2,3). Capture the elapsd time of each loop and compare the durations to see which loop runs faster. Report the results (copy/paste) and conclusion as comments at the bottom of your source code file.

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Heres a Python program called LoopEfficiencypy that compares the efficiency of a for loop and a whil... View the full answer