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April 7, 2026 · 1 min read

How would you handle merging large datasets in Pandas while ensuring performance and avoiding memory issues?

To efficiently merge large datasets in Pandas, I would use the ‘merge’ function with appropriate parameters for ‘how’ and ‘on’ to minimize the dataset size being processed. Additionally, I would…

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SOFTWARE_ARCHITECT // AI_ENGINEER

📅 Apr 07, 2026 ⏱ 1 min read

HW

How would you handle merging large datasets in Pandas while ensuring performance and avoiding memory issues?

COVER // HOW WOULD YOU HANDLE MERGING LARGE DATASETS IN PANDAS WHILE ENSURING PERFORMANCE AND AVOIDING MEMORY ISSUES?

To efficiently merge large datasets in Pandas, I would use the ‘merge’ function with appropriate parameters for ‘how’ and ‘on’ to minimize the dataset size being processed. Additionally, I would consider chunking the data to process it in smaller parts if it exceeds memory limits.

data-analysis merging pandas performance python

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