Google Colab

Google Colab is a cloud-based Jupyter notebook environment provided by Google that enables anyone to write and execute Python code in a browser with free access to computing resources including GPUs and TPUs, eliminating the need for local hardware setup and making machine learning experimentation and data science accessible to students, researchers, and developers worldwide. The notebook environment supports standard Jupyter notebook functionality including code cells, markdown cells, inline plots, rich text formatting, and interactive widgets, with automatic saving to Google Drive and seamless sharing through Google Workspace permissions. The free tier provides access to Nvidia T4 GPU runtime with approximately twelve gigabytes of system memory and sufficient compute time for educational projects, prototyping, and small-scale experiments. The premium tiers including Colab Pro and Pay As You Go offer upgraded GPUs including Nvidia A100, additional memory, longer runtime sessions, and background execution capabilities for training larger models. The pre-installed library environment includes popular Python packages for machine learning including PyTorch, TensorFlow, Keras, scikit-learn, OpenCV, pandas, NumPy, and matplotlib, with additional packages installable through pip and apt package managers. The Google Drive integration enables mounting personal Drive storage for datasets, trained models, and output files, with file persistence across sessions. The GitHub integration enables opening notebooks directly from repositories and saving changes back. The collaboration features enable real-time multi-user editing similar to Google Docs. The machine learning workflow support includes integration with Google Cloud Storage for large datasets, BigQuery for data analysis, and deployment to Google Cloud Vertex AI. Designed for students, researchers, data scientists, machine learning engineers, and educators.