diff --git a/docs/platforms/python/tracing/span-lifecycle/index.mdx b/docs/platforms/python/tracing/span-lifecycle/index.mdx
index 33018eb5e61841..bd3b8180c25d5a 100644
--- a/docs/platforms/python/tracing/span-lifecycle/index.mdx
+++ b/docs/platforms/python/tracing/span-lifecycle/index.mdx
@@ -14,11 +14,6 @@ To add custom performance data to your application, you need to add custom instr
 
 <PlatformContent includePath="enriching-events/import" />
 
-There are two main approaches to creating spans in Python:
-
-- [Using the context manager](#using-the-context-manager): Creates a span with an automatic lifecycle (recommended).
-- [Manual span creation](#creating-spans-manually): Gives you more control over the span's lifecycle.
-
 ## Span Lifecycle
 
 In Python, spans are typically created using a context manager, which automatically manages the span's lifecycle. When you create a span using a context manager, the span automatically starts when entering the context and ends when exiting it. This is the recommended approach for most scenarios.