UofT-DSI | Production - Assignment 1

[alanmj950]

What changes are you trying to make? (e.g. Adding or removing code, refactoring existing code, adding reports)

I added code for stock price data, including lag features for Close and Adj Close, daily returns, daily high-low range, and a 10-day rolling average of returns per ticker.

What did you learn from the changes you have made?

I learned how to efficiently use Dask for handling large Parquet datasets, create lag and return features, and apply group-wise rolling calculations in pandas after converting from Dask.

Was there another approach you were thinking about making? If so, what approach(es) were you thinking of?

Yes, I considered calculating the 10-day rolling average directly in Dask using .groupby().apply() to avoid converting to pandas.

Were there any challenges? If so, what issue(s) did you face? How did you overcome it?

N/A

How were these changes tested?

I verified the code by printing the first few rows of the Dask DataFrame and the final pandas DataFrame to ensure all features were correctly computed.

A reference to a related issue in your repository (if applicable)

N/A

Checklist

• I can confirm that my changes are working as intended

[fyellow]

Good Job! Approved