How can I manage memory effectively in Jupyter Notebooks?

How can I manage memory effectively in Jupyter Notebooks?

To manage memory in Jupyter Notebooks, you can use tools like the %memit magic command to monitor memory usage.

What are some common memory issues I might encounter?

Common issues include memory leaks, excessive memory usage from large datasets, and not releasing memory after use.

How can I free up memory after I'm done with a variable?

You can use the del statement to delete a variable and free up memory, or use gc.collect() to trigger garbage collection.

Are there any best practices for working with large datasets?

Yes, consider using data chunking, optimizing data types, and leveraging libraries like Dask for out-of-core computation.