ephraimbuddy commented on a change in pull request #17927:
URL: https://github.com/apache/airflow/pull/17927#discussion_r701692314
##########
File path: docs/apache-airflow/concepts/tasks.rst
##########
@@ -56,10 +56,10 @@ Option 3: The @task decorator provided by TaskFlow API, see
:ref:`concepts:taskf
def first_task():
...
- second_task(first_task()))
+ second_task(first_task())
-The former two do exactly the same thing and work on any type of Operator, but
in general we recommend you use the bitshift operators, as they are easier to
read in most cases. The TaskFlow API likewise connects dependencies between
tasks, but is tailored to python functions written with the @task-decorator,
note that the functions here are not executed inline, rather they are converted
to tasks to be scheduled and sent to Executors, for more information see see
:ref:`concepts:taskflow`.
+The former two do exactly the same thing and work on any type of Operator, but
in general we recommend you use the bitshift operators, as they are easier to
read in most cases. The TaskFlow API likewise connects dependencies between
tasks, but is tailored to python functions written with the @task-decorator,
note that the functions here are not executed inline, rather they are converted
to tasks to be scheduled and sent to Executors, for more information see see
:ref:`TaskFlow <concepts:taskflow>`.
Review comment:
```suggestion
The former two do exactly the same thing and work on any type of Operator,
but in general we recommend you use the bitshift operators, as they are easier
to read in most cases. The TaskFlow API likewise connects dependencies between
tasks, but is tailored to python functions written with the @task-decorator,
note that the functions here are not executed inline, rather they are converted
to tasks to be scheduled and sent to Executors, for more information see
:ref:`TaskFlow <concepts:taskflow>`.
```
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