# Jupyter Notebooks Online JupyterNotebooks have become a popular interface for teaching scientific programming. While there are many products and vendors available that host pre-configured notebook environments. At Brown, we directly can support you with the following ones: ### Google Colab Colaboratory, or "Colab" for short, allows you to write and execute Python in your browser, with * Zero configuration required * Free access to GPUs * Easy sharing Whether you're a **student**, a **data scientist** or an **AI researcher**, Colab can make your work easier. Watch [Introduction to Colab](https://www.youtube.com/watch?v=inN8seMm7UI) to learn more or visit ### JupyterHub Brown's JupyterHub service provides a convenient, cloud-hosted way to serve Jupyter Notebooks for multiple users. Notebooks are launched within a pre-configured computing environment; users do not need to install any software packages. Jupyter’s flexibility allows instructors to pick the preferred language for a particular context, including Python, Julia, R and many more. Regardless of the language chosen, the Jupyter interface remains the same. To learn more, visit [CCV's website](https://ccv.brown.edu/services/consulting/jupyterhub/) --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://gitbook.brown.edu/cis-cloud-services/jupyter-notebooks-online.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.