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Colab, or "Colaboratory", allows you to write and execute Python in your browser, with. Zero configuration required. Access to GPUs free of charge. Easy sharing. Whether you're a student, a data...
- Notebook
For example, here is a code cell with a short Python script...
- Getting Started
For example, here is a code cell with a short Python script...
- Importing Libraries and Installing Dependencies
To import a library that's not in Colaboratory by default,...
- Sign In
Not your computer? Use a private browsing window to sign in....
- 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
Charting in Colaboratory. A common use for notebooks is data...
- Notebook
Google Colaboratory Colab is a hosted Jupyter Notebook service that requires no setup to use and provides free access to computing resources, including GPUs and TPUs. Colab is especially well suited to machine learning, data science, and education.
Learn how to use Colaboratory, a web-based notebook for executing Python code and viewing rich outputs. Explore features such as cells, code completion, magics, exceptions, and integration with Google Drive.
Explore various topics and learn how to use Google Colab for data science, machine learning, AI, and more. Find notebooks with examples, tutorials, and interactive demos for Gemini, Transformers, BigQuery, Vertex AI, and other tools.
Learn Python, NumPy and Matplotlib with Jupyter notebooks and Google colab. This notebook covers arithmetic operations, lists, strings, conditionals, loops, arrays and functions.
Charting in Colaboratory. A common use for notebooks is data visualization using charts. Colaboratory makes this easy with several charting tools available as Python imports.
Learn how to access the Python 3.9 runtime as a fallback option in Colab until mid-May. Colab has upgraded to Python 3.10, the latest stable version of Python, with regular bug fixes.
