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Towards Data Science0 Hot0 comments7 min read
I Spent an Hour on a Data Preprocessing Task Before Asking Gemini
A data scientist shares a hands-on experience spending an hour manually solving a Pandas data preprocessing task — extracting a probability value by matching a category ID across list columns — before asking Gemini to do the same. Gemini solved it in seconds, but its first solution used the non-vectorized apply function. Only because the author understood Pandas well enough did they recognize the suboptimal approach and prompt Gemini for a vectorized alternative using explode and regex. The takeaway: LLMs dramatically boost productivity, but domain knowledge is still essential to evaluate and improve AI-generated code.
Source: https://towardsdatascience.com/i-spent-an-hour-on-a-data-preprocessing-task-before-asking-gemini. 8 Sync News only summarizes and links out; content copyright belongs to the authors and original sources.
