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  1. 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.

  2. colab.research.google.com › notebookGoogle Colab

    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 in...

  3. 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.

  4. colab.research.google.com › notebooksGoogle Colab

    Open notebook. arrow_back Back . Examples

  5. colab.research.google.com › notebooks › basic_features_overviewGoogle Colab

    Overview of Colaboratory Features - Colab. Cells. A notebook is a list of cells. Cells contain either explanatory text or executable code and its output. Click a cell to select it. Code cells....

  6. Jan 25, 2024 · Google Colab, short for Colaboratory, is a free cloud-based platform provided by Google that allows users to write and execute Python code collaboratively in a Jupyter Notebook environment.

  7. Oct 21, 2021 · An in-depth tutorial on how to use Google Colab with Python, along with Colab’s tips, tricks, and FAQ. This tutorial’s code is available on Github and its full implementation as well on Google Colab.

  8. Google Colab is a cloud-based Jupyter notebook environment from Google Research. With its simple and easy-to-use interface, Colab helps you get started with your data science journey with almost no setup.

  9. Jun 5, 2020 · With Google Colab, creating and sharing notebooks is intuitive and simple 😃. Here are 10 tips and tricks I gathered over time that will help you to get the most out of Google Colab. Table of content: Save time with keyboard shortcuts. Mount your Google Drive to Colab. Run bash commands. Upload / download files. Activate GPU and TPU.

  10. To run coLaboratory, you need a coLaboratory notebook and a IPython backend. For more information about running an IPython backend see our github README. You can click on the buttons below to either create a new notebook or open an existing notebook from Google Drive.

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