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    <title>DEV Community: Aditya Jaroli</title>
    <description>The latest articles on DEV Community by Aditya Jaroli (@adityajaroli).</description>
    <link>https://dev.to/adityajaroli</link>
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      <title>DEV Community: Aditya Jaroli</title>
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      <title>🚀 Handling millions of records in PostgreSQL? This one's for you!</title>
      <dc:creator>Aditya Jaroli</dc:creator>
      <pubDate>Sat, 03 Feb 2024 10:02:41 +0000</pubDate>
      <link>https://dev.to/adityajaroli/handling-millions-of-records-in-postgresql-this-ones-for-you-2412</link>
      <guid>https://dev.to/adityajaroli/handling-millions-of-records-in-postgresql-this-ones-for-you-2412</guid>
      <description>&lt;p&gt;Excited to share my latest Medium blog post on &lt;a href="https://medium.com/@adityajaroli/quick-load-from-pandas-to-postgres-80c0187c1bdf"&gt;Quick load from Pandas to Postgres&lt;/a&gt; where I tackle the challenges of loading massive datasets from Pandas to PostgreSQL efficiently.&lt;/p&gt;

&lt;p&gt;I've open-sourced the source code of this utility package so let's explore, contribute, and make data loading smoother together!&lt;/p&gt;

&lt;p&gt;Explore the source code on GitHub: &lt;a href="https://github.com/Blue-Yonder-OSS/pg-bulk-loader"&gt;https://github.com/Blue-Yonder-OSS/pg-bulk-loader&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Feel free to drop your thoughts and questions on the Medium post or GitHub or here. 🤝&lt;/p&gt;

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      <category>python</category>
      <category>dataloading</category>
      <category>pandastopostgres</category>
      <category>postgres</category>
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