Setting up Google Colab Environment with Google Drive and Github

• Colab provides TPUs and we can use the environment to run our code in Colab VM. Running ML code locally is slow.
• Mount google drive in Colab Notebook with following lines of code.

from google.colab import drive
drive.mount('/content/drive')

• Then use the Google drive desktop to install the Google drive on local and it will be mounted to local filesystem.
• From there we can use the github code repo and push the changes done in Google Colab in GitHub repo.
• Once the drive is mounted inside Colab VM, we can also reference any files in the Google drive as shown below.

import pandas as pd
data = pd.read_csv("/content/drive/My Drive/myProject/datasets/iris.csv")
data.head()