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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 allow you to combine executable code and rich text in a single document, along with images, HTML, LaTeX and more. When you create your own Colab notebooks, they are stored...
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.
Open notebook. arrow_back Back . Examples
Colab and the Jupyter notebook editor in Anaconda are two of the many pieces of software you may use to write and run a Jupyter notebook. For this course we recommend using the online Google...
Colab provides automatic completions to explore attributes of Python objects, as well as to quickly view documentation strings. As an example, first run the following cell to import the numpy...
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Colab supports the core set of Jupyter Widgets for providing interactions between Python and the browser. See the official Jupyter Widgets documentation . ↳ 4 cells hidden
You’ll be able to create a new notebook, run someone else’s notebook (or one of your own), share a notebook with others — all in your favorite web browser. Let’s imagine today is the first day of your Python Programming 101 course.
In Part 1, I explained why Colab is great for teaching Python programming. In this article we’ll get into the details — I’ll show you some specific examples of how Colab can enhance your Python teaching toolkit.
