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Colab lets you write and execute Python code in your browser, with access to GPUs and TPUs, and easy sharing of notebooks. Learn how to use Colab for data science, machine learning, and interactive widgets, or explore the Gemini API and other examples.
- Overview of Colaboratory
Below is a code cell.Once the toolbar button indicates...
- Interactive Forms
Forms provide an easy way to parameterize code. From a code...
- Getting Started With BigQuery
This notebook is open with private outputs. Outputs will not...
- Guide to Markdown
Colab uses marked.js and so is similar but not quite...
- TensorFlow With GPUs
This notebook provides an introduction to computing on a GPU...
- Charts: Visualizing Data
Google Colab Charting in Colaboratory is a tutorial that...
- TensorFlow With TPUs
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- Interactive Widgets
This notebook demonstrates use of Colab's layout widgets....
- Overview of Colaboratory
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 offers features, updates, and resources.
JupyterLab is a web-based interactive development environment for notebooks, code, and data. It supports over 40 programming languages, including Python, R, Julia, and Scala, and integrates with big data tools and JupyterHub.
Jupyter notebooks is an open-source web-based Python editor which runs in your browser. It allows a combination of text written in a html-like format known as "markdown", such as the...
Explore a series of instructive and educational notebooks organized by topic areas on Google Colab, a free cloud-based Jupyter notebook service. Learn how to use Gemini API, Transformers, BigQuery, Vertex AI, and more for AI, data, and cloud computing.
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Learn how to use Jupyter tools for interactive computing workflows without installing anything. Explore Jupyter Notebook, JupyterLab, JupyterLite, Jupyter Widgets, and more with free online demos.