How to Save an Object with Methods in Google Colab (Python)

Learn how to save complex objects with methods in Google Colab to easily reuse them in different notebooks by following simple steps!
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How to Save an Object with Methods in Google Colab (Python)

Google Colab is a fantastic tool for Python programming, but you may find yourself in a situation where you've built a complex object that includes multiple methods. Perhaps, this object takes significant time and resources to create, and you want to make your work more efficient. So, how do you save such an object (with methods included) to your Google Drive for future use in different notebooks? In this guide, we will explore this problem and provide a clear, step-by-step solution.

The Problem at Hand

You have crafted an object in Python that is not only integral to your work but also built from scratch, making its recreation time-consuming and resource-intensive. Since you're working in Google Colab, a cloud-based Jupyter notebook environment that allows you to write and execute Python code, saving your progress and reusing your work becomes essential.

The Solution: Saving and Loading Your Object

To save and load an object with methods in Google Colab, a couple of straightforward steps using the joblib library can be followed. Here's how to do it:

Step 1: Mount Your Google Drive

First, you need to mount your Google Drive to your Colab notebook. This step will enable you to save files directly onto your Drive, allowing you to access them later from any notebook. To mount your Google Drive, run the following code:

[[See Video to Reveal this Text or Code Snippet]]

When you execute this code, a prompt will ask for your authorization. Follow the necessary steps to grant permission. Once mounted successfully, you can now save files to your Google Drive.

Step 2: Save Your Object Using Joblib

Next, you will leverage the joblib library to save your object. If you do not have it installed, you can easily install it by running the command !pip install joblib in a code cell. After confirming that joblib is available, use the following code to save your object to a specific path in your Drive:

[[See Video to Reveal this Text or Code Snippet]]

Step 3: Load Your Object in a New Notebook

Whenever you want to use your saved object in another notebook, all you need to do is load it back into your environment. You can do this using the following code:

[[See Video to Reveal this Text or Code Snippet]]

Again, ensure that the path matches where you saved the object. After loading it, you can continue using your object without losing any methods or configurations.

Conclusion

In just a few simple steps, you can save and load complex objects in Google Colab, making your work more efficient and manageable. Leveraging Google Drive for storage allows you to access your creations from any notebook without the burden of reconstructing them from scratch. So, go ahead and follow this guide to streamline your workflow in Google Colab!

Feel free to reach out in the comments below if you have any questions or additional tips for saving objects in Google Colab! Happy coding!