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    <title>Kbase on Alexander Junge&#39;s website</title>
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    <description>Recent content in Kbase on Alexander Junge&#39;s website</description>
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      <title>Deploying fastAPI to AWS Lambda via Amazon API Gateway</title>
      <link>https://www.alexanderjunge.net/blog/fastapi-aws-api-gateway/</link>
      <pubDate>Sat, 16 May 2020 00:00:00 +0000</pubDate>
      
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      <description>I started experimenting with AWS and as a first tiny project I deployed a fastAPI-based REST API to AWS Lambda, a serverless framework. Amazon API Gateway acts as a front-door to the Lambda instance. The architecture roughly looks like this:
The deployed API is a simplified version of the REST API described in a previous post. My code is available on GitHub.
Using AWS SAM, the deployment works like this:</description>
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      <title>Building a Vue/Vuetify application to label articles</title>
      <link>https://www.alexanderjunge.net/blog/vue-vote-articles/</link>
      <pubDate>Sun, 01 Mar 2020 00:00:00 +0000</pubDate>
      
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      <description>As described in my last post, I used Apache Airflow to query articles from arxiv.org. I now built a small web application to label articles that I find interesting (upvote) or not interesting (downvote).
Using the application, it took me about an hour to label 500+ arxiv.org preprint articles with an up- or downvote. I plan to use these label to recommend new articles of interest in the future.
The application is build in the JavaScript web framework Vue and uses Vuetify Material Design components.</description>
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      <title>Querying arXiv preprints using Airflow</title>
      <link>https://www.alexanderjunge.net/blog/arxiv-airflow-fastapi-psql/</link>
      <pubDate>Sun, 02 Feb 2020 00:00:00 +0000</pubDate>
      
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      <description>Querying arXiv preprints using Apache Airflow I experimented with Apache Airflow to schedule hourly workflows fetching recent preprint articles from different arXiv categories via the public arXiv.org REST API. These articles are then stored in a PostgreSQL database via a custom-built fastAPI-based REST API.
The setup looks like this:
The code is fully dockerized and available on GitHub along with more detailed documentation.</description>
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