Google Colab or “Colaboratory” is a product from Google research. Colab allows users to write and execute Python Code useful for Data Analysis or Machine Learning. Google Colab is hosted on Jupyter Notebook so is easily accessible to users that are already familiar with Jupyter. A great advantage over Juptyer Notebook, Google Colab requires no set-up or install to use and provides free access to computing resource including GPU and RAM.
However, using Google Colab does come with some differences, such as downloading and accessing files from Colab.
The bellow assumes you have a data frame which has been named as a file and assigned a type. This will most commonly be done via Pandas, for example: result.to_csv(‘example_file.csv’)
It also assumes you have mounted your Google drive in the Colab interface.
To download a file you can use the Colab lib, however, you will need to use the Google Chrome Browser. If you are using Firefox, then this won’t work.
from google.colab import files import pandas as pd result.to_csv('example_file.csv') files.download('example_file.csv')
Once executed, this will download the file directly to your downloads.
Another function we can use is saving a file to Google Drive, this can then be used in another script or downloaded by others in a shared drive.
from google.colab import files import pandas as pd result.to_csv('example_file.csv') !cp example_file.csv "/content/drive/My Drive/"
Once executed this will download the file to your specified Google Drive location.