currently used to register additional authentication handlers for conda via the Auth Handlers plugin hook, but may also accom- modate more use cases in the future. Here is an example of how it may be defined available authentication handler called, "test-auth- handler" registered via the aforementioned plugin hook: channel_settings: - channel: https://some.custom/channel auth: test-auth-handler user: my-user-account conda integrate the "hook + entry point" structure by utilizing the Pluggy Python framework. This imple- mentation can be broken down via the following two steps: • Define the hook(s) to be registered

currently used to register additional authentication handlers for conda via the Auth Handlers plugin hook, but may also accom- modate more use cases in the future. Here is an example of how it may be defined available authentication handler called, "test-auth- handler" registered via the aforementioned plugin hook: channel_settings: - channel: https://some.custom/channel auth: test-auth-handler user: my-user-account conda integrate the "hook + entry point" structure by utilizing the Pluggy Python framework. This imple- mentation can be broken down via the following two steps: • Define the hook(s) to be registered

currently used to register additional authentication handlers for conda via the Auth Handlers plugin hook, but may also accom- modate more use cases in the future. Here is an example of how it may be defined available authentication handler called, "test-auth- handler" registered via the aforementioned plugin hook: channel_settings: - channel: https://some.custom/channel auth: test-auth-handler user: my-user-account conda integrate the "hook + entry point" structure by utilizing the Pluggy Python framework. This imple- mentation can be broken down via the following two steps: • Define the hook(s) to be registered

currently used to register additional authentication handlers for conda via the Auth Handlers plugin hook, but may also accom- modate more use cases in the future. Here is an example of how it may be defined available authentication handler called, "test-auth- handler" registered via the aforementioned plugin hook: channel_settings: - channel: https://some.custom/channel auth: test-auth-handler user: my-user-account conda integrate the "hook + entry point" structure by utilizing the Pluggy Python framework. This imple- mentation can be broken down via the following two steps: • Define the hook(s) to be registered

conda integrate the "hook + entry point" structure by utilizing the Pluggy Python framework. This imple- mentation can be broken down via the following two steps: • Define the hook(s) to be registered registered • Register the plugin under the conda entrypoint namespace Hook Below is an example of a very basic plugin "hook": Listing 1: my_plugin.py import conda.plugins @conda.plugins.hookimpl def conda_subcommands(): subprocess_call to use text=True to avoid manual encod- ing/decoding. (#13240) • Add a new plugin hook giving plugin authors the ability to define new settings. (#13554) • Optimize module imports to speed

conda integrate the "hook + entry point" structure by utilizing the Pluggy Python framework. This imple- mentation can be broken down via the following two steps: • Define the hook(s) to be registered registered • Register the plugin under the conda entrypoint namespace Hook Below is an example of a very basic plugin "hook": Listing 1: my_plugin.py import conda.plugins @conda.plugins.hookimpl def conda_subcommands(): subprocess_call to use text=True to avoid manual encod- ing/decoding. (#13240) • Add a new plugin hook giving plugin authors the ability to define new settings. (#13554) • Optimize module imports to speed

currently used to register additional authentication handlers for conda via the Auth Handlers plugin hook, but may also accom- modate more use cases in the future. Here is an example of how it may be defined available authentication handler called, "test-auth- handler" registered via the aforementioned plugin hook: channel_settings: - channel: https://some.custom/channel auth: test-auth-handler user: my-user-account conda integrate the "hook + entry point" structure by utilizing the Pluggy Python framework. This imple- mentation can be broken down via the following two steps: • Define the hook(s) to be registered

conda integrate the "hook + entry point" structure by utilizing the Pluggy Python framework. This imple- mentation can be broken down via the following two steps: • Define the hook(s) to be registered registered • Register the plugin under the conda entrypoint namespace Hook Below is an example of a very basic plugin "hook": Listing 1: my_plugin.py import conda.plugins @conda.plugins.hookimpl def conda_subcommands(): package by requests/pip; explicitly depend on charset_normalizer. (#13171) • Introduce a new plugin hook, CondaHealthCheck, as part of conda doctor. (#13186) • Include activate and deactivate in the --help

conda integrate the "hook + entry point" structure by utilizing the Pluggy Python framework. This imple- mentation can be broken down via the following two steps: • Define the hook(s) to be registered registered • Register the plugin under the conda entrypoint namespace Hook Below is an example of a very basic plugin "hook": Listing 1: my_plugin.py import conda.plugins @conda.plugins.hookimpl def conda_subcommands(): package by requests/pip; explicitly depend on charset_normalizer. (#13171) • Introduce a new plugin hook, CondaHealthCheck, as part of conda doctor. (#13186) • Include activate and deactivate in the --help

changes. Read more about how conda supports data scientists. 1.1.10 Conda plugins • Implementation – Hook – Packaging using a pyproject.toml file • Conda plugins use cases • Benefits of conda plugins conda integrate the "hook + entry point" structure by utilizing the Pluggy Python framework. This imple- mentation can be broken down via the following two steps: • Define the hook(s) to be registered registered • Register the plugin under the conda entrypoint namespace Hook Below is an example of a very basic plugin "hook": Listing 1: my_plugin.py import conda.plugins @conda.plugins.hookimpl def conda_subcommands():