Module 3 Assignment
For both algorithms below, draw a flowchart, provide the pseudocode and Python code.
Part1 – Predicting Arctic Ice Melting
In this assignment, you will create a Python program to predict the melting of Arctic ice over a certain number of years based on the assumption that it is melting at a fixed rate. The program will take input from the user to determine the number of years they want to predict and allow them to repeat the prediction process as many times as they desire.
1. Create a Python program that implements the following functionality:
a. Display a welcome message and brief explanation of the program’s purpose.
b. Ask the user to input the number of years they want to predict.
c. Assume that Arctic ice is currently melting at a rate of 0.5 millimeters per year.
d. Calculate and display the estimated reduction in Arctic ice thickness for each year based on the assumption.
e. Ask the user if they want to make another prediction or stop the prediction process.
2. Implement a loop allowing the user to repeat the prediction process until they stop.
3. Handle invalid inputs gracefully, ensuring the program does not crash if the user enters non-numeric or negative values.
**Example Output:**
“`
=======================================
Welcome to the Arctic Ice Melting Predictor
=======================================
Assuming Arctic ice is currently melting at 0.5 millimeters per year.
Enter the number of years you want to predict: 8
Prediction Results:
Year 1: 0.5 millimeters reduction in Arctic ice thickness
Year 2: 1.0 millimeters reduction in Arctic ice thickness
Year 3: 1.5 millimeters reduction in Arctic ice thickness
Year 4: 2.0 millimeters reduction in Arctic ice thickness
Year 5: 2.5 millimeters reduction in Arctic ice thickness
Year 6: 3.0 millimeters reduction in Arctic ice thickness
Year 7: 3.5 millimeters reduction in Arctic ice thickness
Year 8: 4.0 millimeters reduction in Arctic ice thickness
Do you want to make another prediction? (yes/no): yes
Enter the number of years you want to predict: 12
Prediction Results:
Year 1: 0.5 millimeters reduction in Arctic ice thickness
Year 2: 1.0 millimeters reduction in Arctic ice thickness
Year 3: 1.5 millimeters reduction in Arctic ice thickness
Year 4: 2.0 millimeters reduction in Arctic ice thickness
Year 5: 2.5 millimeters reduction in Arctic ice thickness
Year 6: 3.0 millimeters reduction in Arctic ice thickness
Year 7: 3.5 millimeters reduction in Arctic ice thickness
Year 8: 4.0 millimeters reduction in Arctic ice thickness
Year 9: 4.5 millimeters reduction in Arctic ice thickness
Year 10: 5.0 millimeters reduction in Arctic ice thickness
Year 11: 5.5 millimeters reduction in Arctic ice thickness
Year 12: 6.0 millimeters reduction in Arctic ice thickness
Do you want to make another prediction? (yes/no): no
Thank you for using the Arctic Ice Melting Predictor. Have a great day!
“`
Part 2 – Population
Write a program that predicts the approximate size of a population of microorganisms. The application should use text boxes to allow the user to enter the starting number of microorganisms, the average daily population increase (as a percentage), and the number of days the microorganisms will be left to multiply. Ask the user when they want to stop the simulation. For example, assume the user enters the following values:
Starting number of organisms: 2
Average daily increase: 30%
Number of days to multiply: 10
The application/program should display the following table of data:
Day Approximate Population
1 2
2 2.6
3 3.38
4 4.394
5 5.7122
6 7.42586
7 9.653619
8 12.5497
9 16.31462
10 21.209
Submission Instructions
Assignment solution should have a structure: Title page (your name, course name, term, my name), Introduction, Body/Analysis, Conclusions, and References. The actual solution code would go into the Body/Analysis section.
Figure/table captions should follow the APA format.
Your submission is a Jupyter Notebook (,ipynb) with a rendered (.PDF or .HTML) file – alternatively, you can leave the .ipynb file in /students/[your_username]/Assignments/Module_1/ folder instead of submitting it. These would include all the text, code, results, plots, images, etc.
Submit the following files:
o ALY2100_FirstnameLastname_WeekX_Term_Year.ipynb
o ALY2100_FirstnameLastname_WeekX_Term_Year.html or ALY2100_FirstnameLastname_WeekX_Term_Year.pdf
If you use any existing code extracted from www, cite the source. Make sure the whole code runs without any bugs, and explain well what you did so I can be sure you understand and are learning the material. TurnItIn will pick up similarities, and depending on how you modify the code and give explanations, I can disregard the level of similarity.
