Hi Guys!
Here, I’ll share how to set up Google Colab and access files stored on your Google Drive, step by step.
Background
I am just starting my Python and AI/ML journey. I have been launching Jupyter Notebooks through the Anaconda Navigator. While it is convenient because you don’t have to re-upload any files and can directly access files from your local host, backup becomes a concern. More importantly, it has been using quite a bit of my CPU, slowing down my device and causing lag. Therefore, I’ve decided to move to Google Colab! This way, I can store my files on Google Drive and not worry about backups or saving documents.
Step 1: Open Google Colab
Go to Google Colab and create a new notebook.
Step 2: Mount Google Drive
You need to mount your Google Drive to access the files stored there. Add and run the following code cell to do this:
from google.colab import drive
drive.mount('/content/drive')Step 3: Locate your folder & Copy path
After mounting, you will see the folder on the left-hand side. Navigate to your folder (Case1linear) in the left-hand bar. The first part of the path will generally be /content/drive/MyDrive. Right-click on the folder and select "Copy path".
Note: If you have many folders, look for the folder named content,not drive like the screenshot.
Step 4: Load your data
Use np.load to load your files from the specified path. Add and run the following code cell:
import numpy as np
# Define the path to your files - rmb to include the backslash at the end if it is not with the file name
path = '/content/drive/'
# Load the data
X = np.load(path + 'X.npy')
y = np.load(path + 'Y.npy')Hope this helped! If you found this article useful, please give it a clap and follow me for more tips and tutorials. Feel free to leave any questions, suggestions, or comments below. Happy coding!
