How can I manage memory effectively in Jupyter Notebook?

How can I manage memory effectively in Jupyter Notebook?

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

What are some common memory issues I might face?

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

How can I clear memory in a Jupyter Notebook?

You can clear memory by using the del statement to delete variables and calling gc.collect() to free up unreferenced memory.

Are there any best practices for memory management?

Yes, best practices include using generators for large datasets, avoiding global variables, and regularly monitoring memory usage.