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The following commit(s) were added to refs/heads/main by this push:
new b711ffa5a7 Fix ® symbol in landing page (#1075)
b711ffa5a7 is described below
commit b711ffa5a76d172bf93d03d5458234d7766df5d1
Author: Noam Yorav-Raphael <[email protected]>
AuthorDate: Tue Oct 8 00:19:20 2024 +0300
Fix ® symbol in landing page (#1075)
---
landing-pages/site/layouts/index.html | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/landing-pages/site/layouts/index.html
b/landing-pages/site/layouts/index.html
index 232d3f562d..73b37a171e 100644
--- a/landing-pages/site/layouts/index.html
+++ b/landing-pages/site/layouts/index.html
@@ -49,8 +49,8 @@
<div class="features-list">
{{ partial "feature" (dict "logo_path"
"icons/pure-python-icon.svg" "header" "Pure Python" "text" "No more
command-line or XML black-magic! Use standard Python features to create your
workflows, including date time formats for scheduling and loops to dynamically
generate tasks. This allows you to maintain full flexibility when building your
workflows.") }}
{{ partial "feature" (dict "logo_path" "icons/useful-ui-icon.svg"
"header" "Useful UI" "text" "Monitor, schedule and manage your workflows via a
robust and modern web application. No need to learn old, cron-like interfaces.
You always have full insight into the status and logs of completed and ongoing
tasks.") }}
- {{ partial "feature" (dict "logo_path"
"icons/integrations-icon.svg" "header" "Robust Integrations" "text" "Apache
Airflow® provides many plug-and-play operators that are ready to execute
your tasks on Google Cloud Platform, Amazon Web Services, Microsoft Azure and
many other third-party services. This makes Airflow easy to apply to current
infrastructure and extend to next-gen technologies.") }}
- {{ partial "feature" (dict "logo_path" "icons/easy-use-icon.svg"
"header" "Easy to Use" "text" "Anyone with Python knowledge can deploy a
workflow. Apache Airflow® does not limit the scope of your pipelines; you
can use it to build ML models, transfer data, manage your infrastructure, and
more.") }}
+ {{ partial "feature" (dict "logo_path"
"icons/integrations-icon.svg" "header" "Robust Integrations" "text" "Apache
Airflow® provides many plug-and-play operators that are ready to execute your
tasks on Google Cloud Platform, Amazon Web Services, Microsoft Azure and many
other third-party services. This makes Airflow easy to apply to current
infrastructure and extend to next-gen technologies.") }}
+ {{ partial "feature" (dict "logo_path" "icons/easy-use-icon.svg"
"header" "Easy to Use" "text" "Anyone with Python knowledge can deploy a
workflow. Apache Airflow® does not limit the scope of your pipelines; you can
use it to build ML models, transfer data, manage your infrastructure, and
more.") }}
{{ partial "feature" (dict "logo_path"
"icons/open-source-icon.svg" "header" "Open Source" "text" "Wherever you want
to share your improvement you can do this by opening a PR. It’s simple as that,
no barriers, no prolonged procedures. Airflow has many active users who
willingly share their experiences. Have any questions? Check out our buzzing
slack.") }}
</div>
