Merged
Conversation
tianyi21
approved these changes
Oct 28, 2025
tianyi21
left a comment
There was a problem hiding this comment.
Hi Dipa,
✅ You implemented the function to read and display a file.
✅ You completed the patient_summary() function to summarize a file.
✅ You implemented the detect_problems() function to check the file.
🎉 Your A2 is complete!
🎊 All your Python assessments are now complete. Thank you for your participation, and I wish you all the best for your future!
Thanks,
Tianyi [LS]
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
What changes are you trying to make? (e.g. Adding or removing code, refactoring existing code, adding reports)
I added code to visualize and run parameters on a set of data to summarize and view errors.
What did you learn from the changes you have made?
I learnt how to work with csv files and numpy/arrays in python, as well as how to run arguments/functions on the dataset to extract summarized information.
Was there another approach you were thinking about making? If so, what approach(es) were you thinking of?
I followed the assignment's instructions and completed the assignment in VS code using a python environment.
Were there any challenges? If so, what issue(s) did you face? How did you overcome it?
The main challenge was understanding the pre-defined code blocks properly so I could write my own subsequent codes. Also it took a bit of practising/playing around with the dimension/row/column of arrays in python to get a better understanding of what functions/methods/parameters I am actually modifying.
How were these changes tested?
The function was run through the various exercises/examples that followed the code block. I also tested the code with arguments of my own (in a separate notebook) and made sure the function gave back expected results.
A reference to a related issue in your repository (if applicable)
N/A
Checklist