Data at Depth

Data at Depth

Optimizing Python Pandas for Large Datasets: 4 Practical Examples of Chunking

Breaking down large data sets for better memory management

John Loewen's avatar
John Loewen
Jun 12, 2023
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Breaking down large data sets for better memory management

Photo by Markus Spiske on Unsplash

Working with large datasets in Python is made possible with the Pandas library.

However, large datasets pose a challenge with memory management. To address this, we use a technique known as chunking.

Chunking involves reading data in smaller portions, or ‘chunks’, …

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