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The following commit(s) were added to refs/heads/main by this push:
     new 0ff0645d761 Remove note about airflow 2.7.0 from docs (#72913)
0ff0645d761 is described below

commit 0ff0645d761ddbdea049561bdb99c7c50c29511f
Author: Elad Kalif <[email protected]>
AuthorDate: Fri Sep 11 05:15:06 2026 +0300

    Remove note about airflow 2.7.0 from docs (#72913)
---
 providers/celery/docs/celery_executor.rst                    | 7 -------
 providers/celery/docs/celery_kubernetes_executor.rst         | 7 -------
 providers/cncf/kubernetes/docs/kubernetes_executor.rst       | 8 --------
 providers/cncf/kubernetes/docs/local_kubernetes_executor.rst | 7 -------
 4 files changed, 29 deletions(-)

diff --git a/providers/celery/docs/celery_executor.rst 
b/providers/celery/docs/celery_executor.rst
index 045cec72c9f..98a342880fe 100644
--- a/providers/celery/docs/celery_executor.rst
+++ b/providers/celery/docs/celery_executor.rst
@@ -18,13 +18,6 @@
 Celery Executor
 ===============
 
-.. note::
-
-    As of Airflow 2.7.0, you need to install the ``celery`` provider package 
to use this executor.
-    This can be done by installing ``apache-airflow-providers-celery>=3.3.0`` 
or by installing Airflow
-    with the ``celery`` extra: ``pip install 'apache-airflow[celery]'``.
-
-
 ``CeleryExecutor`` is one of the ways you can scale out the number of workers. 
For this
 to work, you need to setup a Celery backend (**RabbitMQ**, **Redis**, **Redis 
Sentinel** ...),
 install the required dependencies (such as ``librabbitmq``, ``redis`` ...) and
diff --git a/providers/celery/docs/celery_kubernetes_executor.rst 
b/providers/celery/docs/celery_kubernetes_executor.rst
index 2ad5dbca8c5..f08901b6d1f 100644
--- a/providers/celery/docs/celery_kubernetes_executor.rst
+++ b/providers/celery/docs/celery_kubernetes_executor.rst
@@ -18,13 +18,6 @@
 CeleryKubernetes Executor
 =========================
 
-.. note::
-
-    As of Airflow 2.7.0, you need to install both the ``celery`` and 
``cncf.kubernetes`` provider package to use
-    this executor. This can be done by installing 
``apache-airflow-providers-celery>=3.3.0`` and
-    ``apache-airflow-providers-cncf-kubernetes>=7.4.0`` or by installing 
Airflow
-    with the ``celery`` and ``cncf.kubernetes`` extras: ``pip install 
'apache-airflow[celery,cncf.kubernetes]'``.
-
 .. note::
 
     ``CeleryKubernetesExecutor`` is no longer supported starting from Airflow 
3.0.0. You can use the
diff --git a/providers/cncf/kubernetes/docs/kubernetes_executor.rst 
b/providers/cncf/kubernetes/docs/kubernetes_executor.rst
index 3cfa72dfd47..50f68181dcf 100644
--- a/providers/cncf/kubernetes/docs/kubernetes_executor.rst
+++ b/providers/cncf/kubernetes/docs/kubernetes_executor.rst
@@ -21,14 +21,6 @@
 Kubernetes Executor
 ===================
 
-.. note::
-
-    As of Airflow 2.7.0, you need to install the ``cncf.kubernetes`` provider 
package to use
-    this executor. This can done by installing 
``apache-airflow-providers-cncf-kubernetes>=7.4.0``
-    or by installing Airflow with the ``cncf.kubernetes`` extras:
-    ``pip install 'apache-airflow[cncf.kubernetes]'``.
-
-
 The Kubernetes executor runs each task instance in its own pod on a Kubernetes 
cluster.
 
 KubernetesExecutor runs as a process in the Airflow Scheduler. The scheduler 
itself does
diff --git a/providers/cncf/kubernetes/docs/local_kubernetes_executor.rst 
b/providers/cncf/kubernetes/docs/local_kubernetes_executor.rst
index 8f600418a9f..760daa06edb 100644
--- a/providers/cncf/kubernetes/docs/local_kubernetes_executor.rst
+++ b/providers/cncf/kubernetes/docs/local_kubernetes_executor.rst
@@ -21,13 +21,6 @@
 LocalKubernetes Executor
 =========================
 
-.. note::
-
-    As of Airflow 2.7.0, you need to install the ``cncf.kubernetes`` provider 
package to use
-    this executor. This can be done by installing 
``apache-airflow-providers-cncf-kubernetes>=7.4.0``
-    or by installing Airflow with the ``cncf.kubernetes`` extras:
-    ``pip install 'apache-airflow[cncf.kubernetes]'``.
-
 .. note::
 
     ``LocalKubernetesExecutor`` is no longer supported starting from Airflow 
3.0.0. You can use the

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