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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.
Colab notebooks execute code on Google's cloud servers, meaning you can leverage the power of Google hardware, including GPUs and TPUs, regardless of the power of your machine. All you need...
Learning Resources. Curated Notebooks. Here you'll find a series of instructive and educational notebooks organized by topic areas. Gemini API. Create a marketing campaign.
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.
Colab provides a platform for executing notebooks using the most appropriate computing resources (including running on GPUs and TPUs) as well as enabling more effective collaboration through features such as comments and sharing. By clicking “Open in Colab” at the top right of the notebooks, you can open and execute them in Colab!
10 Minutes to Pandas — in Colab! Pandas is a popular open source Python package for data science, data engineering, analytics, and machine learning. It’s built on top of NumPy, which provides efficient support for numerical computation on multi-dimensional arrays.
Whether you’re an ML expert or you’re just getting started, you’ll find training and information in our resource center. Learn with Google AI. At Google, we think the impact of AI will be most powerful when everyone can use it. Explore our tools.
Colaboratory is integrated with Google Drive. It allows you to share, comment, and collaborate on the same document with multiple people: The SHARE button (top-right of the toolbar) allows...
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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.
