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docs/_edot-sdks/python/migration.md

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## Bold on auto-instrumentation
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We have chosen to make autoinstrumentation as simple as possible so you can just focus on your code; we favored an experience that requires minimal changes to your application code. The upstream OpenTelemetry configuration has more options than the distribution requires. Our default configuration is listed [here](https://github.com/elastic/elastic-otel-python?tab=readme-ov-file#configuration).
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We have chosen to make auto-instrumentation as simple as possible so you can just focus on your code; we favored an experience that requires minimal changes to your application code. The upstream OpenTelemetry configuration has more options than the distribution requires. Our default configuration is listed [here](https://github.com/elastic/elastic-otel-python?tab=readme-ov-file#configuration).
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## Bring your own instrumentation
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docs/_edot-sdks/python/setup/manual-instrumentation.md

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This guide shows you how to use the Elastic Distribution of OpenTelemetry Python (EDOT Python) to manually instrument your Python application and send OpenTelemetry data to an Elastic Observability deployment.
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This guide requires to have already added autoinstrumentation with OpenTelemetry to your application per [Setup](./index).
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This guide requires to have already added auto-instrumentation with OpenTelemetry to your application per [Setup](./index).
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**New to OpenTelemetry?** If your are new to OpenTelemetry we encourage you to take a look at our [Setup documentation](./index) instead, which will introduce you to autoinstrumentation.
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**New to OpenTelemetry?** If your are new to OpenTelemetry we encourage you to take a look at our [Setup documentation](./index) instead, which will introduce you to auto-instrumentation.
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<!-- ✅ Provide _minimal_ configuration/setup -->
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### Configure EDOT Python

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