returns items that are a fuzzy match of and returns items that are a fuzzy match of The text is highlighted in yellow so that you easily can find it. As you type in the search field, the results are shown instantly and the matching conda environments that are relevant to the search query are displayed. However, it supports a powerful search language. By default, the search does fuzzy matching. The matched text is highlighted in each conda environment's details. It dynamically filters out conda environments that don't match your search criteria. You can use search to further filter the listed conda environments. The second number indicates the total possible number of conda environments that are available in that filter source type. The first number indicates the number of conda environments that are selected. Within each source type filter, there are two numbers in parentheses. Use Installed Conda Environments to display conda environments that have been installed in the notebook session. Use Published Conda Environments to filter on environments that you have published. Use Data Science Conda Environments to filter on conda environments that are provided by the Data Science service. Select the Show Deprecated to include these environments in the search results.Įnabling multiple source type filters, note the x at the end of the button, has an additive effect. By default, deprecated conda environments aren't displayed. Enabling a filter restricts the listed conda environments. The Environment Explorer allows you to filter conda environments by architecture, deprecation, and source type. Each version of an environment has its own separate card. Each environment is displayed in a separate environment card. Notice that each environment category has a different tab color. Start using the Environment Explorer by browsing through these categories of conda environments by clicking each button. Publish an installed conda environment to an Object Storage bucket that you own. When a conda environment is installed, you can clone it. Install prebuilt Data Science conda environments in a notebook session. The Data Science service offers a series of prebuilt Data Science conda environments, and you can access them in the JupyterLab Launcher tab by clicking Environment Explorer to: Use the Environment Explorer to list all conda environments in a notebook session.
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