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Colab lets you write and execute Python code in your browser, with access to GPUs and TPUs, and easy sharing of notebooks. Learn how to use Colab for data science, machine learning, and interactive widgets, or explore the Gemini API for multimodal models.
- Notebook
Colab notebooks execute code on Google's cloud servers,...
- Getting Started
Colab notebooks execute code on Google's cloud servers,...
- Importing Libraries and Installing Dependencies
To import a library that's not in Colaboratory by default,...
- Sign In
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- Interactive Widgets
This notebook demonstrates use of Colab's layout widgets....
- TensorFlow With TPUs
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- Overview of Colaboratory
Colaboratory is integrated with Google Drive. It allows you...
- Charts
Google Colab Charting in Colaboratory is a tutorial that...
- Notebook
Colab is a hosted service that lets you run Jupyter Notebooks with no setup and access to GPUs and TPUs. It is suitable for machine learning, data science, and education.
Explore a series of instructive and educational notebooks organized by topic areas on Google Colab, a free cloud-based platform for interactive computing. Learn how to use Gemini API, Transformers, BigQuery, Vertex AI, and more for AI, data, and cloud computing.
Learn how to use Colaboratory, a web-based notebook environment for executing Python code and viewing rich outputs. Explore features such as cells, code execution, text editing, system aliases, magics, completions, exceptions, and integration with Drive.
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Official Colab Help Center where you can find tips and tutorials on using Colab and other answers to frequently asked questions.
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Learn how to use forms and Jupyter Widgets to customize code cells in Colab, a cloud-based notebook environment for Python. See examples of string, raw, date, number, boolean, markdown and slider fields.