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new fbcd2d976ee docs: Correct TaskFlow capitalization in tutorial
documentation (#51767)
fbcd2d976ee is described below
commit fbcd2d976ee0587f3817e35299a16faa0f820337
Author: Wei-Yu Chen <[email protected]>
AuthorDate: Mon Jun 16 17:55:39 2025 +0800
docs: Correct TaskFlow capitalization in tutorial documentation (#51767)
---
airflow-core/docs/tutorial/taskflow.rst | 8 ++++----
1 file changed, 4 insertions(+), 4 deletions(-)
diff --git a/airflow-core/docs/tutorial/taskflow.rst
b/airflow-core/docs/tutorial/taskflow.rst
index 09b7a247e03..8cef080ab6e 100644
--- a/airflow-core/docs/tutorial/taskflow.rst
+++ b/airflow-core/docs/tutorial/taskflow.rst
@@ -73,7 +73,7 @@ connected.
Step 2: Write Your Tasks with ``@task``
---------------------------------------
-With Taskflow, each task is just a regular Python function. You can use the
``@task`` decorator to turn it into a task
+With TaskFlow, each task is just a regular Python function. You can use the
``@task`` decorator to turn it into a task
that Airflow can schedule and run. Here's the ``extract`` task:
.. exampleinclude:: /../src/airflow/example_dags/tutorial_taskflow_api.py
@@ -174,7 +174,7 @@ Here's what the same DAG might have looked like using the
traditional approach:
.. note::
This version produces the same result as the TaskFlow API example, but
requires explicit management of ``XComs`` and task dependencies.
-The Taskflow Way
+The TaskFlow Way
''''''''''''''''
Using TaskFlow, all of this is handled automatically.
@@ -240,7 +240,7 @@ Nice work! You've now written your first pipeline using the
TaskFlow API. Curiou
.. _advanced-taskflow-patterns:
-Advanced Taskflow Patterns
+Advanced TaskFlow Patterns
--------------------------
Once you're comfortable with the basics, here are a few powerful techniques
you can try.
@@ -345,7 +345,7 @@ Mixing with Traditional Tasks
You can combine decorated tasks with classic Operators. This is helpful when
using community providers or when migrating
incrementally to TaskFlow.
-You can chain Taskflow and traditional tasks using ``>>`` or pass data using
the ``.output`` attribute.
+You can chain TaskFlow and traditional tasks using ``>>`` or pass data using
the ``.output`` attribute.
.. _taskflow/accessing_context_variables:
