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    <title>DEV Community: wilmer jelko lazaro guerra</title>
    <description>The latest articles on DEV Community by wilmer jelko lazaro guerra (@wilmer_jelkolazaroguerr).</description>
    <link>https://dev.to/wilmer_jelkolazaroguerr</link>
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      <title>DEV Community: wilmer jelko lazaro guerra</title>
      <link>https://dev.to/wilmer_jelkolazaroguerr</link>
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    <item>
      <title>Migracion de datos en la nube</title>
      <dc:creator>wilmer jelko lazaro guerra</dc:creator>
      <pubDate>Mon, 13 Apr 2026 19:15:09 +0000</pubDate>
      <link>https://dev.to/wilmer_jelkolazaroguerr/migracion-de-datos-en-la-nube-4ha3</link>
      <guid>https://dev.to/wilmer_jelkolazaroguerr/migracion-de-datos-en-la-nube-4ha3</guid>
      <description>&lt;p&gt;En un mundo donde la información era el nuevo petróleo, la migración de datos en la nube se había convertido en una carrera de relevos a gran escala. Las empresas corrían para trasladar sus archivos a los servidores virtuales, como si se tratara de una gran evacuación en busca de un refugio seguro. La empresa "Nube y Azul" era una de ellas, y su equipo de expertos trabajaba día y noche para asegur&lt;/p&gt;




&lt;p&gt;&lt;strong&gt;&lt;a href="https://nexmind3.hashnode.dev/migracion-de-datos-en-la-nube-1" rel="noopener noreferrer"&gt;Read the full article on NexMind →&lt;/a&gt;&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;Originally published at &lt;a href="https://nexmind3.hashnode.dev/migracion-de-datos-en-la-nube-1" rel="noopener noreferrer"&gt;https://nexmind3.hashnode.dev/migracion-de-datos-en-la-nube-1&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>python</category>
      <category>productivity</category>
      <category>programming</category>
    </item>
    <item>
      <title>Run a 70B Model Locally on Consumer Hardware: A Step-by-Step Guide</title>
      <dc:creator>wilmer jelko lazaro guerra</dc:creator>
      <pubDate>Mon, 13 Apr 2026 14:00:08 +0000</pubDate>
      <link>https://dev.to/wilmer_jelkolazaroguerr/run-a-70b-model-locally-on-consumer-hardware-a-step-by-step-guide-10mf</link>
      <guid>https://dev.to/wilmer_jelkolazaroguerr/run-a-70b-model-locally-on-consumer-hardware-a-step-by-step-guide-10mf</guid>
      <description>

&lt;p&gt;&lt;strong&gt;&lt;a href="https://nexmind3.hashnode.dev" rel="noopener noreferrer"&gt;Read the full article on NexMind →&lt;/a&gt;&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;Originally published at &lt;a href="https://nexmind3.hashnode.dev" rel="noopener noreferrer"&gt;https://nexmind3.hashnode.dev&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>python</category>
      <category>productivity</category>
      <category>programming</category>
    </item>
    <item>
      <title>Build a Robust Retry Decorator for Any API in Python</title>
      <dc:creator>wilmer jelko lazaro guerra</dc:creator>
      <pubDate>Mon, 13 Apr 2026 03:09:14 +0000</pubDate>
      <link>https://dev.to/wilmer_jelkolazaroguerr/build-a-robust-retry-decorator-for-any-api-in-python-1dj2</link>
      <guid>https://dev.to/wilmer_jelkolazaroguerr/build-a-robust-retry-decorator-for-any-api-in-python-1dj2</guid>
      <description>&lt;p&gt;When interacting with external APIs, it's common to encounter temporary failures due to network issues, server overload, or other transient errors. Implementing a retry mechanism can significantly improve the reliability of your system. In Python, you can achieve this using a decorator, a design pattern that allows you to wrap another function to extend its behavior without permanently modifying &lt;/p&gt;

&lt;p&gt;&lt;strong&gt;In this article:&lt;/strong&gt;&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;Introduction to Retry Decorators&lt;/li&gt;
&lt;li&gt;Understanding the Requirements&lt;/li&gt;
&lt;li&gt;Basic Implementation&lt;/li&gt;
&lt;li&gt;Example usage:&lt;/li&gt;
&lt;/ul&gt;




&lt;p&gt;&lt;strong&gt;&lt;a href="https://nexmind3.hashnode.dev/build-a-robust-retry-decorator-for-any-api-in-python-1" rel="noopener noreferrer"&gt;Read the full article on NexMind →&lt;/a&gt;&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;Originally published at &lt;a href="https://nexmind3.hashnode.dev/build-a-robust-retry-decorator-for-any-api-in-python-1" rel="noopener noreferrer"&gt;https://nexmind3.hashnode.dev/build-a-robust-retry-decorator-for-any-api-in-python-1&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>python</category>
      <category>productivity</category>
      <category>programming</category>
    </item>
    <item>
      <title>Build a Local RAG System with Ollama and ChromaDB in 30 Minutes</title>
      <dc:creator>wilmer jelko lazaro guerra</dc:creator>
      <pubDate>Mon, 13 Apr 2026 02:48:39 +0000</pubDate>
      <link>https://dev.to/wilmer_jelkolazaroguerr/build-a-local-rag-system-with-ollama-and-chromadb-in-30-minutes-25d0</link>
      <guid>https://dev.to/wilmer_jelkolazaroguerr/build-a-local-rag-system-with-ollama-and-chromadb-in-30-minutes-25d0</guid>
      <description>&lt;p&gt;Building a local RAG (Retrieve, Augment, Generate) system can be a complex and time-consuming process, requiring significant expertise in AI and data engineering. However, with the right tools and a step-by-step approach, you can have a fully functional local RAG system up and running in just 30 minutes. In this article, we will explore how to build a local RAG system using Ollama and ChromaDB.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;In this article:&lt;/strong&gt;&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;Introduction to RAG Systems&lt;/li&gt;
&lt;li&gt;Introduction to Ollama and ChromaDB&lt;/li&gt;
&lt;li&gt;Step 1: Install Ollama and ChromaDB&lt;/li&gt;
&lt;li&gt;Step 2: Configure Ollama&lt;/li&gt;
&lt;/ul&gt;




&lt;p&gt;&lt;strong&gt;&lt;a href="https://nexmind3.hashnode.dev/build-a-local-rag-system-with-ollama-and-chromadb-in-30-minutes-1" rel="noopener noreferrer"&gt;Read the full article on NexMind →&lt;/a&gt;&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;Originally published at &lt;a href="https://nexmind3.hashnode.dev/build-a-local-rag-system-with-ollama-and-chromadb-in-30-minutes-1" rel="noopener noreferrer"&gt;https://nexmind3.hashnode.dev/build-a-local-rag-system-with-ollama-and-chromadb-in-30-minutes-1&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>python</category>
      <category>productivity</category>
      <category>programming</category>
    </item>
    <item>
      <title>Mastering Oracle BULK COLLECT and FORALL: Boost ETL Performance by 500%</title>
      <dc:creator>wilmer jelko lazaro guerra</dc:creator>
      <pubDate>Mon, 13 Apr 2026 02:48:20 +0000</pubDate>
      <link>https://dev.to/wilmer_jelkolazaroguerr/mastering-oracle-bulk-collect-and-forall-boost-etl-performance-by-500-4cm6</link>
      <guid>https://dev.to/wilmer_jelkolazaroguerr/mastering-oracle-bulk-collect-and-forall-boost-etl-performance-by-500-4cm6</guid>
      <description>&lt;p&gt;As an ETL developer, you're constantly seeking ways to improve the efficiency and speed of your data processing workflows. Oracle's BULK COLLECT and FORALL statements are two powerful features that can help you achieve this goal. In this article, we'll delve into the world of BULK COLLECT and FORALL, exploring their benefits, syntax, and best practices for implementation.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;In this article:&lt;/strong&gt;&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;Introduction to BULK COLLECT&lt;/li&gt;
&lt;li&gt;Benefits of BULK COLLECT&lt;/li&gt;
&lt;li&gt;Syntax and Example&lt;/li&gt;
&lt;li&gt;Introduction to FORALL&lt;/li&gt;
&lt;/ul&gt;




&lt;p&gt;&lt;strong&gt;&lt;a href="https://nexmind3.hashnode.dev/mastering-oracle-bulk-collect-and-forall-boost-etl-performance-by-500" rel="noopener noreferrer"&gt;Read the full article on NexMind →&lt;/a&gt;&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;Originally published at &lt;a href="https://nexmind3.hashnode.dev/mastering-oracle-bulk-collect-and-forall-boost-etl-performance-by-500" rel="noopener noreferrer"&gt;https://nexmind3.hashnode.dev/mastering-oracle-bulk-collect-and-forall-boost-etl-performance-by-500&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>python</category>
      <category>productivity</category>
      <category>programming</category>
    </item>
    <item>
      <title>Automate ETL Data Validation in Minutes: No More 1000 Lines of SQL</title>
      <dc:creator>wilmer jelko lazaro guerra</dc:creator>
      <pubDate>Mon, 13 Apr 2026 02:48:01 +0000</pubDate>
      <link>https://dev.to/wilmer_jelkolazaroguerr/automate-etl-data-validation-in-minutes-no-more-1000-lines-of-sql-1i6d</link>
      <guid>https://dev.to/wilmer_jelkolazaroguerr/automate-etl-data-validation-in-minutes-no-more-1000-lines-of-sql-1i6d</guid>
      <description>&lt;p&gt;Validating ETL (Extract, Transform, Load) data quality is a crucial step in the data integration process. It ensures that the data is accurate, complete, and consistent across different systems. However, writing thousands of lines of SQL code to validate ETL data can be time-consuming, prone to errors, and frustrating. In this article, we will explore how to automate ETL data validation without wr&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;In this article:&lt;/strong&gt;&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;Understanding ETL Data Validation&lt;/li&gt;
&lt;li&gt;Automating ETL Data Validation&lt;/li&gt;
&lt;li&gt;Example: Automating ETL Data Validation with Python&lt;/li&gt;
&lt;li&gt;Connect to the database&lt;/li&gt;
&lt;/ul&gt;




&lt;p&gt;&lt;strong&gt;&lt;a href="https://nexmind3.hashnode.dev/automate-etl-data-validation-in-minutes-no-more-1000-lines-of-sql" rel="noopener noreferrer"&gt;Read the full article on NexMind →&lt;/a&gt;&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;Originally published at &lt;a href="https://nexmind3.hashnode.dev/automate-etl-data-validation-in-minutes-no-more-1000-lines-of-sql" rel="noopener noreferrer"&gt;https://nexmind3.hashnode.dev/automate-etl-data-validation-in-minutes-no-more-1000-lines-of-sql&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>python</category>
      <category>productivity</category>
      <category>programming</category>
    </item>
    <item>
      <title>How Tech Freelancers Can Legally Reduce Their Tax Bill by 30%</title>
      <dc:creator>wilmer jelko lazaro guerra</dc:creator>
      <pubDate>Mon, 13 Apr 2026 02:46:59 +0000</pubDate>
      <link>https://dev.to/wilmer_jelkolazaroguerr/how-tech-freelancers-can-legally-reduce-their-tax-bill-by-30-5606</link>
      <guid>https://dev.to/wilmer_jelkolazaroguerr/how-tech-freelancers-can-legally-reduce-their-tax-bill-by-30-5606</guid>
      <description>&lt;p&gt;As a tech freelancer, you're likely no stranger to the challenges of managing your finances and navigating the complex world of taxes. With the rise of the gig economy, more and more tech professionals are turning to freelancing as a way to work on their own terms and pursue projects that they're passionate about. However, this freedom comes with a price: a higher tax bill. In this article, we'll &lt;/p&gt;

&lt;p&gt;&lt;strong&gt;In this article:&lt;/strong&gt;&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;Understanding Freelance Taxes&lt;/li&gt;
&lt;li&gt;Business Structuring for Tax Savings&lt;/li&gt;
&lt;li&gt;Tax Deductions for Freelancers&lt;/li&gt;
&lt;li&gt;Retirement Planning for Freelancers&lt;/li&gt;
&lt;/ul&gt;




&lt;p&gt;&lt;strong&gt;&lt;a href="https://nexmind3.hashnode.dev/how-tech-freelancers-can-legally-reduce-their-tax-bill-by-30" rel="noopener noreferrer"&gt;Read the full article on NexMind →&lt;/a&gt;&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;Originally published at &lt;a href="https://nexmind3.hashnode.dev/how-tech-freelancers-can-legally-reduce-their-tax-bill-by-30" rel="noopener noreferrer"&gt;https://nexmind3.hashnode.dev/how-tech-freelancers-can-legally-reduce-their-tax-bill-by-30&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>python</category>
      <category>productivity</category>
      <category>programming</category>
    </item>
    <item>
      <title>How to Build a Local AI Stack With Zero Cloud Cost in 2026</title>
      <dc:creator>wilmer jelko lazaro guerra</dc:creator>
      <pubDate>Sat, 14 Mar 2026 06:19:38 +0000</pubDate>
      <link>https://dev.to/wilmer_jelkolazaroguerr/how-to-build-a-local-ai-stack-with-zero-cloud-cost-in-2026-16d1</link>
      <guid>https://dev.to/wilmer_jelkolazaroguerr/how-to-build-a-local-ai-stack-with-zero-cloud-cost-in-2026-16d1</guid>
      <description>

&lt;p&gt;&lt;strong&gt;&lt;a href="https://nexmind3.hashnode.dev/how-to-build-a-local-ai-stack-with-zero-cloud-cost-in-2026" rel="noopener noreferrer"&gt;Read the full article on NexMind →&lt;/a&gt;&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;Originally published at &lt;a href="https://nexmind3.hashnode.dev/how-to-build-a-local-ai-stack-with-zero-cloud-cost-in-2026" rel="noopener noreferrer"&gt;https://nexmind3.hashnode.dev/how-to-build-a-local-ai-stack-with-zero-cloud-cost-in-2026&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>python</category>
      <category>productivity</category>
      <category>programming</category>
    </item>
    <item>
      <title>Prompt Engineering para principiantes</title>
      <dc:creator>wilmer jelko lazaro guerra</dc:creator>
      <pubDate>Sat, 14 Mar 2026 06:19:21 +0000</pubDate>
      <link>https://dev.to/wilmer_jelkolazaroguerr/prompt-engineering-para-principiantes-32ig</link>
      <guid>https://dev.to/wilmer_jelkolazaroguerr/prompt-engineering-para-principiantes-32ig</guid>
      <description>&lt;p&gt;En el vasto universo de la inteligencia artificial, un joven ingeniero se sumergió en el mundo del Prompt Engineering, decidido a dominar el lenguaje de las máquinas. Era como un navegante que se adentra en un mar desconocido, sin brújula ni estrella guía, pero con la determinación de encontrar el tesoro escondido. Sin embargo, pronto descubrió que el Prompt Engineering era un rompecabezas complej&lt;/p&gt;




&lt;p&gt;&lt;strong&gt;&lt;a href="https://nexmind3.hashnode.dev/prompt-engineering-para-principiantes" rel="noopener noreferrer"&gt;Read the full article on NexMind →&lt;/a&gt;&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;Originally published at &lt;a href="https://nexmind3.hashnode.dev/prompt-engineering-para-principiantes" rel="noopener noreferrer"&gt;https://nexmind3.hashnode.dev/prompt-engineering-para-principiantes&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>python</category>
      <category>productivity</category>
      <category>programming</category>
    </item>
    <item>
      <title>Generacion de datos sinteticos para QA</title>
      <dc:creator>wilmer jelko lazaro guerra</dc:creator>
      <pubDate>Sat, 14 Mar 2026 06:14:05 +0000</pubDate>
      <link>https://dev.to/wilmer_jelkolazaroguerr/generacion-de-datos-sinteticos-para-qa-h72</link>
      <guid>https://dev.to/wilmer_jelkolazaroguerr/generacion-de-datos-sinteticos-para-qa-h72</guid>
      <description>&lt;p&gt;En un mundo donde la información era el petróleo que alimentaba las máquinas de aprendizaje, la generación de datos sintéticos se había convertido en una industria en auge. Como un hacker de datos, mi misión era crear conjuntos de información que simularan la realidad, para que los sistemas de inteligencia artificial pudieran aprender a navegar en un mar de incertidumbre. Sin embargo, pronto me en&lt;/p&gt;




&lt;p&gt;&lt;strong&gt;&lt;a href="https://nexmind3.hashnode.dev/generacion-de-datos-sinteticos-para-qa" rel="noopener noreferrer"&gt;Read the full article on NexMind →&lt;/a&gt;&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;Originally published at &lt;a href="https://nexmind3.hashnode.dev/generacion-de-datos-sinteticos-para-qa" rel="noopener noreferrer"&gt;https://nexmind3.hashnode.dev/generacion-de-datos-sinteticos-para-qa&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>python</category>
      <category>productivity</category>
      <category>programming</category>
    </item>
    <item>
      <title>Ingresos pasivos con contenido digital</title>
      <dc:creator>wilmer jelko lazaro guerra</dc:creator>
      <pubDate>Sat, 14 Mar 2026 06:13:59 +0000</pubDate>
      <link>https://dev.to/wilmer_jelkolazaroguerr/ingresos-pasivos-con-contenido-digital-32ii</link>
      <guid>https://dev.to/wilmer_jelkolazaroguerr/ingresos-pasivos-con-contenido-digital-32ii</guid>
      <description>&lt;p&gt;En un mundo donde la información fluía como un río desbordado, Sofía buscaba crear un dique que canalizara los ingresos pasivos hacia su cuenta bancaria. Comenzó a generar contenido digital, sembrando semillas de conocimiento en la vasta llanura de internet, esperando que crecieran y produjeran frutos financieros. Sin embargo, pronto se dio cuenta de que la competencia era feroz y que su contenido&lt;/p&gt;




&lt;p&gt;&lt;strong&gt;&lt;a href="https://nexmind3.hashnode.dev/ingresos-pasivos-con-contenido-digital" rel="noopener noreferrer"&gt;Read the full article on NexMind →&lt;/a&gt;&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;Originally published at &lt;a href="https://nexmind3.hashnode.dev/ingresos-pasivos-con-contenido-digital" rel="noopener noreferrer"&gt;https://nexmind3.hashnode.dev/ingresos-pasivos-con-contenido-digital&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>python</category>
      <category>productivity</category>
      <category>programming</category>
    </item>
    <item>
      <title>Productividad con modelos locales Ollama</title>
      <dc:creator>wilmer jelko lazaro guerra</dc:creator>
      <pubDate>Sat, 14 Mar 2026 06:08:43 +0000</pubDate>
      <link>https://dev.to/wilmer_jelkolazaroguerr/productividad-con-modelos-locales-ollama-4mkj</link>
      <guid>https://dev.to/wilmer_jelkolazaroguerr/productividad-con-modelos-locales-ollama-4mkj</guid>
      <description>&lt;p&gt;En un mundo donde la productividad se había convertido en un bien escaso, la empresa Ollama emergió como una solución innovadora. Su modelo de gestión basado en la colaboración y el intercambio de conocimientos locales parecía ser la clave para desbloquear el potencial de las comunidades. Sin embargo, pronto se hizo evidente que la verdadera eficiencia requería algo más que simplemente conectar a &lt;/p&gt;




&lt;p&gt;&lt;strong&gt;&lt;a href="https://nexmind3.hashnode.dev/productividad-con-modelos-locales-ollama" rel="noopener noreferrer"&gt;Read the full article on NexMind →&lt;/a&gt;&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;Originally published at &lt;a href="https://nexmind3.hashnode.dev/productividad-con-modelos-locales-ollama" rel="noopener noreferrer"&gt;https://nexmind3.hashnode.dev/productividad-con-modelos-locales-ollama&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>python</category>
      <category>productivity</category>
      <category>programming</category>
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