From b711ffa5a76d172bf93d03d5458234d7766df5d1 Mon Sep 17 00:00:00 2001 From: Noam Yorav-Raphael Date: Tue, 8 Oct 2024 00:19:20 +0300 Subject: [PATCH] =?UTF-8?q?Fix=20=C2=AE=20symbol=20in=20landing=20page=20(?= =?UTF-8?q?#1075)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- 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 232d3f562de..73b37a171e5 100644 --- a/landing-pages/site/layouts/index.html +++ b/landing-pages/site/layouts/index.html @@ -49,8 +49,8 @@

Features

{{ 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.") }}