Type or paste your Python code into a code

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Increase RAM capacity
If you are working on projects that require more memory, you may need to increase the amount of RAM available in Google Colab. To do so, follow the instructions:

Access environment settings: In the Google Colab top menu, click “Runtime Environment.” Then, select “Change runtime environment type.”
Select RAM capacity: In the window that appears, you will see the “Hardware Accelerator” option. While the default RAM is sufficient for most cases, you can use a GPU or TPU for increased malaysia cell phone number list performance. However, there is no direct option to increase the RAM beyond the default settings.
Confirm the change: After selecting your preferences, click “Save.” The virtual machine will reboot with the new settings applied.
Increasing your RAM capacity can help you handle tasks that require more memory. It also improves the performance of your Google Colab operations.

Run the code
Running Python code in Google Colab is simple and straightforward. Here's how to do it:

Run the cell: Click the run button next to the cell or press Shift + Enter. The code will run and the result will appear just below the cell.
Interpreting results: The result of running your code will be displayed directly below the code cell. If your code generates additional graphs or output, they will also be displayed here.