How to optimize pandas memory usage
Автор: Data Engineering with Subhadip
Загружено: 2025-12-11
Просмотров: 70
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🤯 Out of RAM loading a dataset? Don't let memory errors slow you down!
Pandas is powerful, but its default settings can be a memory hog. With a few simple tweaks, you can drastically reduce memory usage and handle massive datasets with ease.
Swipe through to learn 4 essential techniques to optimize your Pandas DataFrames:
1️⃣ Downcast Numeric Types: Stop using 64-bit numbers when 8-bit will do!
2️⃣ Use Categories: A game-changer for text columns with repeated values.
3️⃣ Be Selective: Only load the columns you actually need.
4️⃣ Process in Chunks: The ultimate solution for files that just won't fit in memory.
By mastering these tips, you'll write more efficient, scalable data analysis code. No more waiting for your kernel to restart!
What's your go-to memory-saving trick? Share it in the comments! 👇
#Shorts #python #pandas #datascience #dataanalysis #machinelearning #programming #coding #dataengineering #pythonprogramming #developer #techtips #bigdata
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