Python RAM usage after closing
When working with Python, it's important to be mindful of the memory usage of your applications, especially if they are long-running or resource-intensive. While Python has automatic memory management (garbage collection), it's useful to understand how Python's memory usage behaves after a script or program is closed.
In this tutorial, we will cover the following topics:
Python uses an automatic memory management system that includes garbage collection to clean up resources that are no longer in use. When a Python script or program is terminated, Python will release most of the memory it allocated during execution. However, there are situations where some resources might not be freed immediately due to reference cycles or other factors.
To check the memory usage of a Python script before and after execution, you can use the psutil library. First, make sure you have psutil installed by running:
Now, create a Python script and add the following code:
Replace # Your script or program here with your actual code. This code will print the memory usage before and after your script runs.
While Python's garbage collector usually does a good job of reclaiming memory, there are situations where you may want to help it along. For example, closing file handles, database connections, and explicitly deleting objects can free up memory more promptly.
Here's an example of manually cleaning up resources, such as closing a file:
In this example, the memory used by the file data is released promptly by using the with statement to close the file.
If you're dealing with long-running applications, you may want to monitor memory usage over time. Tools like psutil can help you periodically check memory usage and log the results.
Here's an example of monitoring memory usage every second and logging it:
In this example, the script will continuously print memory usage every second for the specified duration.
Understanding and monitoring Python's memory usage can help you optimize your code and avoid memory leaks in your applications. It's an essential skill for building efficient and stable Python programs.
ChatGPT
On this page of the site you can watch the video online Python RAM usage after closing with a duration of hours minute second in good quality, which was uploaded by the user CodeTube 04 November 2023, share the link with friends and acquaintances, this video has already been watched 6 times on youtube and it was liked by 0 viewers. Enjoy your viewing!
