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Author: mrm9084

articles/azure-app-configuration/feature-management-python-reference.md

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 # Python feature management
 
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-[![Feature Management](https://img.shields.io/pypi/v/FeatureManagement?color=blue)](https://pypi.org/project/FeatureManagement/)<br>
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-[![Feature Management](https://img.shields.io/pypi/v/FeatureManagement/2.0.0b2?color=blue)](https://pypi.org/project/FeatureManagement/2.0.0b2/)<br>
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 Python feature management library provides a way to develop and expose application functionality based on feature flags. Once a new feature is developed, many applications have special requirements, such as when the feature should be enabled and under what conditions. This library provides a way to define these relationships, and also integrates into common Python code patterns to make exposing these features possible.
 
 Feature flags provide a way for Python applications to turn features on or off dynamically. Developers can use feature flags in simple use cases like conditional statements.
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 In the above example, the feature is enabled for users named `Jeff` and `Alicia`. It's also enabled for users in the group named `Ring0`. However, if the user is named `Mark`, the feature is disabled, regardless of if they are in the group `Ring0` or not. Exclusions take priority over the rest of the targeting filter.
 
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 ## Variants
 
 When new features are added to an application, there may come a time when a feature has multiple different proposed design options. A common solution for deciding on a design is some form of A/B testing. A/B testing involves providing a different version of the feature to different segments of the user base and choosing a version based on user interaction. In this library, this functionality is enabled by representing different configurations of a feature with variants.
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 | `Variant` | The assigned variant. |
 | `VariantAssignmentReason` | The reason why the variant is assigned. |
 
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 ## Next steps
 
 To learn how to use feature flags in your applications, continue to the following quickstarts.