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Colab is a free cloud service that lets you run Python code with zero configuration and access to GPUs. Learn how to create, share, and use Colab notebooks for data science, machine learning, and more.
- Notebook
Colab, or "Colaboratory", allows you to write and execute...
- Importing Libraries and Installing Dependencies
To import a library that's not in Colaboratory by default,...
- Sign In
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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...
- FAQs Page
Colab is a hosted Jupyter Notebook service that requires no...
- Notebook
Colab is a hosted Jupyter Notebook service that provides free access to computing resources, including GPUs and TPUs. Colab is well suited to machine learning, data science, and education, and supports Python and other languages.
Explore various topics and learn how to use Google Colab for data science, machine learning, AI, and more. Browse notebooks by category or search for specific keywords.
Learn how to use Colaboratory, a web-based notebook for executing Python code and viewing rich outputs. Explore features such as cells, magics, completions, exceptions, and integration with Google Drive.
Learn how to use Google Colab, a free cloud service that provides interactive Jupyter notebooks, for teaching and learning Python. Find out the benefits, features, and tips for using Colab in the classroom.
Oct 21, 2021 · Introduction. Why We Use Google Colab? Start Google Colab. Uploading a Notebook from Github. Uploading Data from Kaggle. Read Files from Google Drive. Setting up Hardware Accelerator GPU for Runtime. Clone a GitHub Repository to Google Drive. Colab Magic. Plotting. TPU (Tensor Processing Unit) in Google Colab. Conclusion. Introduction.
Colab is a hosted Jupyter Notebook service that requires no setup to use and provides free of charge access to computing resources, including GPUs and TPUs. Colab is especially well suited to...