How to increase the memory limit in Jupyter Notebook?

Explore ways to increase the memory limit in Jupyter Notebook. This article provides step-by-step instructions and tips to optimize your coding environment. Boost your Jupyter Notebook now!

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Quick overview

The problem is about increasing the memory limit in Jupyter Notebook. Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text. Sometimes, while running heavy computations, you might encounter memory errors or need more memory than the default allocation. The user is seeking a solution to increase this memory limit to allow for more intensive data processing.

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How to increase the memory limit in Jupyter Notebook: Step-by-Step guide

Step 1: Open your Jupyter Notebook. You can do this by typing "jupyter notebook" in your terminal or command prompt.

Step 2: Once your Jupyter Notebook is open, click on "New" at the top right corner of the screen and select "Python 3" from the drop-down menu. This will open a new notebook.

Step 3: In the new notebook, you will see a cell. Click on this cell to select it.

Step 4: Type the following command in the cell:

import sys
sys.setrecursionlimit(10000) # or any number you want

This command will increase the recursion limit, which indirectly increases the memory limit.

Step 5: Press "Shift + Enter" to run the cell. If there are no errors, your memory limit has been successfully increased.

Step 6: To check if the limit has been increased, you can type the following command in a new cell and run it:

print(sys.getrecursionlimit())

This will print the current recursion limit.

Remember, increasing the memory limit can lead to your system running out of memory if you're not careful. Always monitor your system's memory usage to ensure it doesn't get too high.

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