Learn GOOGLE-COLAB with Real Code Examples

No installation required; browser-based

Supports Chrome, Firefox, Edge, and Safari

Optional local Jupyter setup for offline use

Requires Google account for saving and sharing notebooks

Accessible at https://colab.research.google.com

Open https://colab.research.google.com

Sign in with Google account

Create or open notebook

Select runtime (CPU/GPU/TPU)

Run Python code and visualize outputs

Notebook saved as .ipynb

Optional data files in Drive or uploaded

Environment dependencies installed via pip per runtime

GPU/TPU settings stored in runtime config

No persistent server-side config for users

Optional shell commands using ! prefix

Python commands executed in code cells

pip install for adding packages

magics like %timeit or %matplotlib inline

No direct terminal access to VM

UI in English primarily

Supports Unicode in code and markdown

Accessible globally via browser

Notebooks can include multilingual text

Documentation available in multiple languages

Works on modern browsers

Keyboard shortcuts for navigation and editing

Accessible via mobile browser with limited UI

Screen reader compatible for code cells

Collaborative editing supports multiple users

Notebook interface with code and markdown cells

Toolbar for runtime and file management

Output displayed inline below code cells

Minimalistic and responsive design

Supports rich media outputs like images and plots

Notebook state stored in cloud (Drive) or temporary VM

Undo/redo supported within editor

Cell outputs persist during session

Multiple collaborators can edit concurrently

No permanent runtime persistence after session ends

Upload files or mount Google Drive

Download notebook as .ipynb or PDF

Persistent storage via Google Drive

Temporary VM storage cleared after session

Use external cloud datasets for large-scale processing