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The following commit(s) were added to refs/heads/master by this push:
new b31523f Fix typos in README.md (#10000)
b31523f is described below
commit b31523f8a18b84a77d908e25b8f75f5db52de5ac
Author: Natasha Wilson <[email protected]>
AuthorDate: Sat Jul 25 19:40:52 2020 +0100
Fix typos in README.md (#10000)
This commit fixes three typing errors in README.md, consisting of one
incorrect spelling of the word released and two incorrect version
notations.
---
README.md | 6 +++---
1 file changed, 3 insertions(+), 3 deletions(-)
diff --git a/README.md b/README.md
index 7dad137..bc15cf1 100644
--- a/README.md
+++ b/README.md
@@ -126,7 +126,7 @@ pip install apache-airflow[postgres,google]==1.10.11 \
In order to use Airflow in Docker Compose or Kubernetes, you might need to use
or build production images
of Apache Airflow. The community provides two types of support for the
production images:
-* We provide pre-build relesed version of production image in PyPI build from
released
+* We provide pre-build released version of production image in PyPI build from
released
sources of Apache Airflow - shortly after release. Those images are
available in the DockerHub.
You can pull those images via `docker pull
apache/airflow:<VERSION>-pythonX.Y` - version is the
version number (for example 1.10.11). Additionally `docker pull
apache/airflow` will pull latest
@@ -212,13 +212,13 @@ those packages can only be used in python3.6+ environment.
### Installing Airflow 2.0 operators in Airflow 1.10
We released backport packages that can be installed for older Airflow versions.
-Those backport packages are going to be released more frequently that main
Airflow 1.10.& releases.
+Those backport packages are going to be released more frequently that main
Airflow 1.10.* releases.
You will not have to upgrade your Airflow version to use those packages. You
can find those packages in the
[PyPI](https://pypi.org/search/?q=apache-airflow-backport-providers&o=) and
install them separately for each
provider.
-Those packages are available now and can be used in the latest Airflow 1.10*
version. Most of those
+Those packages are available now and can be used in the latest Airflow 1.10.*
version. Most of those
packages are also installable and usable in most Airflow 1.10.* releases but
there is no extensive testing
done beyond the latest released version, so you might expect more problems in
earlier Airflow versions.
