- Google Colab Tutorial
- Google Colab - Home
- Google Colab - Introduction
- What is Google Colab?
- Your First Colab Notebook
- Documenting Your Code
- Google Colab - Saving Your Work
- Google Colab - Sharing Notebook
- Invoking System Commands
- Executing External Python Files
- Google Colab - Graphical Outputs
- Google Colab - Code Editing Help
- Google Colab - Magics
- Google Colab - Adding Forms
- Google Colab - Installing ML Libraries
- Google Colab - Using Free GPU
- Google Colab - Conclusion
- Google Colab Useful Resources
- Google Colab - Quick Guide
- Google Colab - Useful Resources
- Google Colab - Discussion
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Google Colab - What is Google Colab?
If you have used Jupyter notebook previously, you would quickly learn to use Google Colab. To be precise, Colab is a free Jupyter notebook environment that runs entirely in the cloud. Most importantly, it does not require a setup and the notebooks that you create can be simultaneously edited by your team members - just the way you edit documents in Google Docs. Colab supports many popular machine learning libraries which can be easily loaded in your notebook.
What Colab Offers You?
As a programmer, you can perform the following using Google Colab.
Write and execute code in Python
Document your code that supports mathematical equations
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