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    <title>PyPI recent updates for save-gcp-local</title>
    <link>https://pypi.org/project/save-gcp-local/</link>
    <description>Recent updates to the Python Package Index for save-gcp-local</description>
    <language>en</language>    <item>
      <title>0.2.1</title>
      <link>https://pypi.org/project/save-gcp-local/0.2.1/</link>
      <description>Run Airflow DAGs locally and execute Dataproc/Spark jobs in local Docker instead of creating GCP clusters. Generic, zero DAG edits, pluggable test-data providers.</description>
      <pubDate>Thu, 04 Jun 2026 22:54:11 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/save-gcp-local/0.2.0/</link>
      <description>Run Airflow DAGs locally and execute Dataproc/Spark jobs in local Docker instead of creating GCP clusters. Generic, zero DAG edits, pluggable test-data providers.</description>
      <pubDate>Thu, 04 Jun 2026 05:32:46 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/save-gcp-local/0.1.0/</link>
      <description>Run Airflow DAGs locally and execute Dataproc/Spark jobs in local Docker instead of creating GCP clusters. Generic, zero DAG edits, pluggable test-data providers.</description>
      <pubDate>Thu, 04 Jun 2026 04:57:24 GMT</pubDate>
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