How to run Google Colab?

Google Colab



Google Colab tutorial for Data Science | Erich Hohenstein | Level Up Coding

  1. Colab is a free Jupyter notebook environment that runs entirely in the cloud.
  2. It does not require a setup.
  3. Notebooks that you create can be simultaneously edited.
  4. Supports many popular machine learning libraries which can be easily loaded in your notebook.

You can perform the following using Google Colab:

  • Write and execute code in Python.

  • Create/Upload/Share notebooks.
  • Import/Save notebooks from/to Google Drive.
  • Import/Publish notebooks from GitHub.
  • Import external datasets e.g. from Kaggle.
  • Integrate PyTorch, TensorFlow, Keras, OpenCV.
  • Free Cloud service with free GPU/TPU.

Steps to use Google Colab

step 1) 
Log in to your Google account in your browser.
Step 2)
Open the following link: https://colab.research.google.com
Once you open this link a demo notebook will be opened.
Step 3)
Go to file -> New Notebook
A new notebook will open similar to Jupyter Notebook.
Step 4)
Write your code and Save it.
It will be saved in your Google Drive.

Note: If you want to find the location of your file then Go to File ->
Location in Drive








Data science is the process of extracting information from data. It involves collecting, cleaning, analyzing, and interpreting data. Data scientists work with a variety of data types, including structured data (e.g., numbers in spreadsheets), unstructured data (e.g., text and images), and big data (e.g., social media data).

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