> ## Documentation Index
> Fetch the complete documentation index at: https://anaconda.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Frequently asked questions

## General

<AccordionGroup>
  <Accordion title="What are notebooks and why would I use them?">
    Jupyter Notebooks provide a web-based interface for creating and sharing computational documents. You can seamlessly mix executable code, documentation, and instructions in one portable document. Notebooks are not only a great portable learning tool, but also a highly capable vehicle for prototyping and producing data science work.

    Anaconda Notebooks lets you skip setup and installation and get straight to learning and writing code.
  </Accordion>

  <Accordion title="How do I access Anaconda Notebooks?">
    You can access and use Anaconda Notebooks from any modern web browser and anywhere you have an internet connection.

    After you have logged into your account on Anaconda.com, navigate to nb.anaconda.com or click on the "Notebooks" tile on Anaconda.com.
  </Accordion>

  <Accordion title="What do I have access to?">
    Anaconda Notebooks provides the following features, hosted on our trusted and secure cloud platform, so you can access them anywhere, on any device.

    <Note>
      These features are limited based on your subscription plan. See our [pricing page](https://www.anaconda.com/pricing) for further details.
    </Note>

    * A curated JupyterLab notebook interface
    * Fast, backed-up SSD storage
    * CPU seconds, refreshed daily
    * Anaconda Assistant, your AI-powered pair programmer
    * Application publishing
    * Conda environments with the most popular python packages
    * Ability to create and upload your own custom environments
    * Example notebooks to develop your coding skills
  </Accordion>

  <Accordion title="Is Anaconda Notebooks different from JupyterLab and Jupyter Notebooks?">
    Anaconda Notebooks is a hosted JupyterLab service that enables you to run JupyterLab notebooks reliably online. Your dedicated JupyterLab instance comes pre-configured with persistent cloud storage, hundreds of data science packages, and a managed infrastructure.

    To launch an instance of classic Jupyter Notebooks, click **Help** in the menu bar, then select *Launch Classic Notebook*.
  </Accordion>

  <Accordion title="Where can I get support?">
    You can get community support on the [Anaconda community forums](https://forum.anaconda.com). If you're in need of further technical assistance, please [file a support ticket](https://support.anaconda.com/hc/en-us/requests/new?ticket_form_id=360000993773).
  </Accordion>

  <Accordion title="Which packages are pre-configured on Anaconda Notebooks?">
    All packages available from the Anaconda installer are preloaded and ready to use through Anaconda Notebooks. The latest release of Anaconda Distribution is always the default environment within Anaconda Notebooks. As new installers are released, new environments become available. For more information about managing environments and notebook runtimes, see [Runtimes](/tools/anaconda-notebooks/notebook-runtimes).

    Anaconda Toolbox also comes with several pre-configured [environments](/tools/anaconda-notebooks/anaconda-toolbox/toolbox-environments), which include popular data science packages tailored for different analytical needs.

    To see a list of all packages in an environment, run the following command from a terminal in Anaconda Notebooks:

    ```sh theme={null}
    conda list
    ```
  </Accordion>

  <Accordion title="Can I share my notebooks?">
    Yes! Click **Share** at the top of your notebook to produce a shareable link or embeddable HTML for your notebook. See [Sharing Anaconda Notebooks](/tools/anaconda-notebooks/sharing-notebooks) for more information.
  </Accordion>

  <Accordion title="How do I upload a notebook to the service?">
    In the Anaconda Notebooks JupyterLab interface, click **Upload files** in the File Browser to browse for a local `.ipynb` file. Then, click **Open**. The notebook will appear in the left-hand menu.

    <Frame>
      <img src="https://mintcdn.com/anaconda-29683c67/bTNsoo5c4qs9_t2j/images/jupyter-notebook-upload.png?fit=max&auto=format&n=bTNsoo5c4qs9_t2j&q=85&s=f62f46ac9a24ad55c489049960f5a7ab" alt="" width="3460" height="1080" data-path="images/jupyter-notebook-upload.png" />
    </Frame>

    You can also drag and drop a notebook from a folder on your system to the file browser to upload it.
  </Accordion>

  <Accordion title="How do I save a notebook?">
    Like most IDEs or editors, JupyterLab has the standard "Save" and "Save As..." functions that will save a notebook in your directory on our platform. You can also download a notebook file from the File menu to save it locally.
  </Accordion>

  <Accordion title="Can I use packages from a curated premium repository in Anaconda Notebooks?">
    Packages available from Anaconda Notebooks are a subset of packages available from the public repo.anaconda.com <Tooltip tip="Any storage location from which software or software assets, like packages, can be retrieved and installed on a local computer.">repository</Tooltip>. Installing packages from a curated premium repository via tokenized access is not currently supported.
  </Accordion>

  <Accordion title="Can I install new packages or create custom environments in Anaconda Notebooks?">
    You can create your own conda environments to build a custom runtime using any packages that conda can install from repo.anaconda.com. This can be achieved by following the steps in [Runtimes](/tools/anaconda-notebooks/notebook-runtimes#creating-custom-runtimes).
  </Accordion>

  <Accordion title="Can I use Anaconda Notebooks for work?">
    Anaconda Notebooks alone does not provide *commercial compliance* to its users. Customers accessing Anaconda Notebooks with Pro (legacy), Business, or Custom subscription plans are permitted to use all Anaconda products for commercial use. For more details, see our [Terms of Service](https://anaconda.com/legal).
  </Accordion>

  <Accordion title="I have an organization in Anaconda.com. How can my team leverage Anaconda Notebooks?">
    Registered customers who are part of organizations on Anaconda.com can independently access Anaconda Notebooks. Access to Anaconda Notebooks is granted upon member role designation and registration.
  </Accordion>

  <Accordion title="Can I control access to Anaconda Notebooks?">
    Yes. You can prevent your organization members from accessing Anaconda Notebooks from your organization's <Icon icon="building" iconType="regular" /> **Org Profile** page. For more information, see [Organization settings](/anaconda-platform/cloud/admin/organizations#organization-settings).
  </Accordion>

  <Accordion title="I have a site license. How do I give my members access?">
    If you are a customer but have not yet registered your organization on Anaconda Cloud, please refer to [Organization management](/anaconda-platform/cloud/admin/organizations) on how to set up your organization and invite members.
  </Accordion>

  <Accordion title="Where is the kernel package stored?">
    The `ipykernel` is available from the main channel.
  </Accordion>

  <Accordion title="What are the pros and cons of publishing on Anaconda Notebooks versus working on PyScript.com directly?">
    Publishing on Anaconda Notebooks provides you with a server-hosted app, while PyScript.com offers you a browser-hosted app.

    Panel supports both server and browser operation; however, browser-side operations require copying all the data down to the browser, which is impractical when working with large datasets. Additionally, some applications can't be run browser-side because some libraries use operations that are not available in WASM (for example, libraries like `numba`, `dask`, or `pytorch`). In other words, it's a matter of running on the server or running locally in your browser.
  </Accordion>

  <Accordion title="What are data catalogs?">
    Data catalogs are sample datasets that you can use to familiarize yourself with running and analyzing datasets in a notebook. Access Anaconda's catalogs of pre-populated datasets by selecting **Explore Catalogs** in the Launcher.
  </Accordion>

  <Accordion title="How do I activate the debugger?">
    To activate the debugger, click the bug icon to the right of your active notebook. Learn more about the debugger from JupyterLab's [Debugger topic](https://jupyterlab.readthedocs.io/en/latest/user/debugger.html).

    <Frame>
      <img src="https://mintcdn.com/anaconda-29683c67/suT8p96bcArryiKX/images/notebook_debugger.png?fit=max&auto=format&n=suT8p96bcArryiKX&q=85&s=754c1db4316456ebfdfee8b1b97c9ecd" alt="" width="3460" height="858" data-path="images/notebook_debugger.png" />
    </Frame>
  </Accordion>
</AccordionGroup>

## Toolbox environments

<AccordionGroup>
  <Accordion title="Are package versions specified in the quick start environments?">
    No, quick start environments include a list of packages to install, but rely on the conda solver to select the most up-to-date versions that are compatible with the other packages and their dependencies. After installation, you can verify installed package versions by running `!conda list` in a notebook cell in the active environment. You can also view package versions on the [Environments](/tools/anaconda-navigator/tutorials/manage-environments) page in Navigator.
  </Accordion>

  <Accordion title="Can I view security information like CVEs for the installed packages?">
    While security information isn't directly accessible, installation security is managed through channel configurations. When installing a quick start environment, conda uses the `channels` list available in your `.condarc` file. For customers on the Business plan, this means that you are only able to install quick start environments if your organization's policies allow it.
  </Accordion>

  <Accordion title="Which channels do I need?">
    All environments require either the Anaconda `defaults` channel or `conda-forge` to be included in your `.condarc` file. You can update your channels in [Navigator](/tools/anaconda-navigator/tutorials/manage-channels) or with conda via the [CLI](/getting-started/working-with-conda/channels).
  </Accordion>

  <Accordion title="How long does an environment take to install?">
    The `python-starter` environment, which includes the fewest packages, is the quickest to install and should complete in fewer than five minutes. The `anaconda-ai-ml` environment, on the other hand, could take up to 15 minutes to install, due to the large size of some of the packages and complexity of the package dependency resolution process. Exact installation times vary depending on your internet download speeds and hardware specifications.
  </Accordion>

  <Accordion title="Can I install more than one quick start environment?">
    Yes! You can install one or all of these environments, provided your computer has the available disk space.
  </Accordion>

  <Accordion title="How do I stop or interrupt an environment from installing?">
    To stop or interrupt a quick start environment during installation, completely close your Jupyter instance, then reopen it via Navigator or the command line.

    To close a Jupyter instance:

    * In the JupyterLab interface, go to **File** > **Shut Down**.

    * Alternatively, return to the shell application where you launched `jupyter-lab` and press Ctrl+C.
  </Accordion>

  <Accordion title="If I've uninstalled an environment, can I continue working?">
    You can continue working in the same notebook, but you'll need to [select an existing runtime](/tools/anaconda-notebooks/notebook-runtimes#activating-runtimes). This can be done through the runtime selector, the Launcher, or by using the terminal. Previously executed cells must be re-run in the new runtime.
  </Accordion>
</AccordionGroup>

## Anaconda Assistant

<AccordionGroup>
  <Accordion title="Why am I not seeing all options under Working with DataFrames?">
    Some options for working with DataFrames are hidden until you run cells in your notebook that generate a DataFrame. Click <Icon icon="forward" iconType="solid" /> **Run All Cells** to restart and run all the cells available in your notebook. If one or more DataFrames are successfully generated in your notebook, all options should appear in the Assistant.
  </Accordion>

  <Accordion title="What programming languages are supported?">
    Anaconda Assistant primarily supports Python, but we are planning to expand support to other languages in the future.
  </Accordion>

  <Accordion title="What personal data is collected when I use the Assistant?">
    When you first use Anaconda Assistant, you are prompted to opt in to Anaconda's data collection and usage of chat messages.

    If you opt in, Anaconda collects all chat information, user IDs, and event logs.

    If you opt out, Anaconda only collects event logs and your user ID—any prompts you have entered in the chat remain undisclosed.

    Anaconda Assistant leverages Claude Sonnet running on AWS Bedrock. Anaconda doesn't share your data with third-party sources like Anthropic, and your input and response data will not be used for training future models.
  </Accordion>

  <Accordion title="How do I provide feedback?">
    Use the buttons embedded within the Assistant to provide feedback:

    <Frame>
      <img src="https://mintcdn.com/anaconda-29683c67/9H-5W4tTlP7-Fn32/images/assistant_feedback.png?fit=max&auto=format&n=9H-5W4tTlP7-Fn32&q=85&s=08a79d8437fad696584b376fc5eb39b6" alt="" width="482" height="874" data-path="images/assistant_feedback.png" />
    </Frame>
  </Accordion>
</AccordionGroup>