5.23 LAB: Adjust values in a list by normalizing When analyzing data sets, such as data for human heights or for human weights, a common step is to adjust the data. This adjustment can be done by normalizing to values between 0 and 1, or throwing away outliers.For this program, adjust the values by dividing all values by the largest value. The input begins with an integer indicating the number of floating-point values that follow.Output each floating-point value with two digits after the decimal point, which can be achieved as follows:print('{:.2f}'.format(your_value))Ex: If the input is:5 30.0 50.0 10.0 100.0 65.0the output is:0.30 0.50 0.10 1.00 0.65The 5 indicates that there are five floating-point values in the list, namely 30.0, 50.0, 10.0, 100.0, and 65.0. 100.0 is the largest value in the list, so each value is divided by 100.0. Use Python, please. **Lab Activity: Adjust Values in a List by Normalizing****Assignment Overview:**This exercise requires you to write a program in Python to adjust values in a list by normalizing them. This task is a part of the Computer Programming 1 course.**Instructions:**- Open the `main.py` file where you will write your code.- Implement the logic to normalize a list of values.- Ensure you test your code as much as needed before submitting for grading.**Code Editor:**The code editor is displayed with a placeholder comment:```python''' Type your code here. '''```**Test and Submit:**- **Develop Mode**: Use this mode to write and test your code multiple times.- **Submit Mode**: Once satisfied, submit for grading.**Running Your Program:**1. Enter any required input values in the provided box.2. Click "Run program" to execute.3. Observe the output in the results window.Make sure to thoroughly test your program and verify that the results are as expected before submitting for grading.

Computer Networking: A Top-Down Approach (7th Edition)

7th Edition

ISBN:9780133594140

Author:James Kurose, Keith Ross

Publisher:James Kurose, Keith Ross

Chapter1: Computer Networks And The Internet

Section: Chapter Questions

Problem R1RQ: What is the difference between a host and an end system? List several different types of end...

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5.23 LAB: Adjust values in a list by normalizing

When analyzing data sets, such as data for human heights or for human weights, a common step is to adjust the data. This adjustment can be done by normalizing to values between 0 and 1, or throwing away outliers.

For this program, adjust the values by dividing all values by the largest value. The input begins with an integer indicating the number of floating-point values that follow.

Output each floating-point value with two digits after the decimal point, which can be achieved as follows:
print('{:.2f}'.format(your_value))

Ex: If the input is:

5 30.0 50.0 10.0 100.0 65.0

the output is:

0.30 0.50 0.10 1.00 0.65

The 5 indicates that there are five floating-point values in the list, namely 30.0, 50.0, 10.0, 100.0, and 65.0. 100.0 is the largest value in the list, so each value is divided by 100.0.

Use Python, please.