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Colab is a free cloud service that lets you create and share interactive notebooks with code, text, and visualizations. You can use Colab for data science, machine learning, and accessing Google's Gemini API and hardware.
- Notebook
The document you are reading is not a static web page, but...
- Importing Libraries and Installing Dependencies
To import a library that's not in Colaboratory by default,...
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- TensorFlow With TPUs
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- Overview of Colaboratory
Colab provides automatic completions to explore attributes...
- Help
Colab includes an extension that renders pandas dataframes...
- Google Colaboratory
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- Colab Pro
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- 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, and has a blog, a catalog of notebooks, and resources to learn more.
Learn how to use Colaboratory, a web-based notebook environment for Python and other languages. Explore cells, code, text, magics, completions, exceptions, outputs, and integration with Drive.
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, TensorBoard, BigQuery, Vertex AI, and more for AI, data, and cloud computing.
Learn Pandas, a popular Python package for data science and analytics, in an interactive notebook on Colab. This is a ported version of the official 10 Minutes to Pandas tutorial with examples and exercises.
My absolute favorite teaching tool is Google Colab — read on to learn why I love it. This article (part 1) is for people who may be new to Jupyter or Colab. In Part 2 , I’ll share more about how I use Colab in my virtual classrooms.
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With Colab you can import an image dataset, train an image classifier on it, and evaluate the model, all in just a few lines of code. Colab notebooks execute code on Google's cloud servers,...