Как я могу эффективно обрабатывать большие наборы данных в Python для анализа данных [закрыто] ⇐ Python

[Гость]

I am working on a project that involves analyzing large datasets in Python. However, I'm encountering performance issues and memory limitations when dealing with these large datasets. What are some efficient approaches or best practices for handling large datasets in Python?




Topic




Techniques to read and process large datasets efficiently


Memory management strategies to avoid out-of-memory errors


Optimized libraries or frameworks for handling large datasets


Strategies for parallel processing or distributed computing




Any insights or recommendations on these topics would be greatly appreciated. Thank you!
Provide a detailed description of the steps you took or the approaches you attempted to address the issue.


Источник: https://stackoverflow.com/questions/764 ... a-analysis