L15 - Final Project Feedback

Directions:

1. Please rename the file by clicking on “LX-First-Last.ipynb” where X is the lab number, and replace First and Last with your first and last name.

2. Click File -> Save to make sure your most recent edits are saved.

3. In the upper right hand corner of the screen, click on “Share”. Click on “Restricted” and change it to “Anyone with the link”. Make sure you also share it with ahaberlie1@gmail.com.

4. Copy the link and submit it on Blackboard. Make sure you follow these steps completely, or I will be unable to grade your work.

Overview¶

Demonstrate the incorporation of constructive code feedback from your peers by showing a “before” and “after” example. Use the template below.

Rules¶

1. You are allowed and encouraged to use any material, code, etc., that you create for this lab in your final draft. I have provided a template for you to use below.

2. Both group partners should submit a unique lab. However, I encourage you to collaborate so that you can complete this lab and combine this with your partner’s lab to contribute two unique aspects of your project

3. Typical Gen-AI rules apply to this lab.

You will be partially graded on completion, and partially graded on my assessment of how much thought you put into this. Penalties will be applied if you do not:

1. describe and include your “before” code

2. include a description of the constructive feedback

3. describe and include your “after” code and how it is improved and how it addressed the feedback. If you do not think it improved the workflow, or it was not feasible / impossible, demonstrating that is also acceptable.

Excessive Gen-AI code or text will be penalized up to 100%.

What do I need to know before I start this lab?¶

[Your text here]

What part of the final project will you be showing in this lab?¶

[Your text here]

Do I need to import any data or install packages?¶

[Your text here]

Run the following code to download these data and/or install the packages:

Problem 1¶

What was the code in question doing? Provide an example of the “before” code.

[Describe your thought process when creating the original code and how you translated that into Python]

Problem 2¶

What was the specific feedback given regarding this code? How did you interpret this feedback?

Problem 3¶

Describe the “fixed” version of the code that addressed the feedback. Does it do a better job? Did it not work? Include the new code example below.

Problem 4¶

Did this feedback inspire and/or motivate any other changes in your project? Why or why not? Include code examples below if applicable.