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        <title><![CDATA[Stories by Piero Paialunga on Medium]]></title>
        <description><![CDATA[Stories by Piero Paialunga on Medium]]></description>
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            <title>Stories by Piero Paialunga on Medium</title>
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            <title><![CDATA[How to Thrive in the Vibe Coding Era as a Data Scientist]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://piero-paialunga.medium.com/how-to-thrive-in-the-vibe-coding-era-as-a-data-scientist-81467152ddc8?source=rss-254e653181d2------2"><img src="https://cdn-images-1.medium.com/max/2600/0*PDW5hb_1gPw2KbW9" width="3250"></a></p><p class="medium-feed-snippet">Code-writing AI is your Data Science superpower; here&#x2019;s how to use it!</p><p class="medium-feed-link"><a href="https://piero-paialunga.medium.com/how-to-thrive-in-the-vibe-coding-era-as-a-data-scientist-81467152ddc8?source=rss-254e653181d2------2">Continue reading on Medium »</a></p></div>]]></description>
            <link>https://piero-paialunga.medium.com/how-to-thrive-in-the-vibe-coding-era-as-a-data-scientist-81467152ddc8?source=rss-254e653181d2------2</link>
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            <category><![CDATA[coding]]></category>
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            <category><![CDATA[data-science]]></category>
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            <dc:creator><![CDATA[Piero Paialunga]]></dc:creator>
            <pubDate>Sun, 11 Jan 2026 03:51:19 GMT</pubDate>
            <atom:updated>2026-01-11T03:51:19.410Z</atom:updated>
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            <title><![CDATA[Hands-On Delivery Routes Optimization (TSP) with AI, Using LKH and Python]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/data-science/hands-on-delivery-routes-optimization-tsp-with-ai-using-lkh-and-python-9078768068cc?source=rss-254e653181d2------2"><img src="https://cdn-images-1.medium.com/max/2600/1*kS-kQc0STRv9xGy-DlJQgQ.jpeg" width="4928"></a></p><p class="medium-feed-snippet">Here&#x2019;s how to optimize the delivery routes, from theory to code.</p><p class="medium-feed-link"><a href="https://medium.com/data-science/hands-on-delivery-routes-optimization-tsp-with-ai-using-lkh-and-python-9078768068cc?source=rss-254e653181d2------2">Continue reading on TDS Archive »</a></p></div>]]></description>
            <link>https://medium.com/data-science/hands-on-delivery-routes-optimization-tsp-with-ai-using-lkh-and-python-9078768068cc?source=rss-254e653181d2------2</link>
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            <category><![CDATA[business-analysis]]></category>
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            <dc:creator><![CDATA[Piero Paialunga]]></dc:creator>
            <pubDate>Tue, 14 Jan 2025 20:02:15 GMT</pubDate>
            <atom:updated>2025-01-14T20:02:15.654Z</atom:updated>
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            <title><![CDATA[Hands-On Optimization Using Genetic Algorithms, with Python]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/data-science/hands-on-optimization-using-genetic-algorithms-with-python-bb7970dbbf0a?source=rss-254e653181d2------2"><img src="https://cdn-images-1.medium.com/max/2600/0*1c_sMC7YuciZw4Xc" width="4961"></a></p><p class="medium-feed-snippet">Here&#x2019;s a full guide on genetic algorithms, what they are, and how to use them</p><p class="medium-feed-link"><a href="https://medium.com/data-science/hands-on-optimization-using-genetic-algorithms-with-python-bb7970dbbf0a?source=rss-254e653181d2------2">Continue reading on TDS Archive »</a></p></div>]]></description>
            <link>https://medium.com/data-science/hands-on-optimization-using-genetic-algorithms-with-python-bb7970dbbf0a?source=rss-254e653181d2------2</link>
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            <category><![CDATA[genetic-algorithm]]></category>
            <category><![CDATA[machine-learning]]></category>
            <category><![CDATA[optimization]]></category>
            <category><![CDATA[python]]></category>
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            <dc:creator><![CDATA[Piero Paialunga]]></dc:creator>
            <pubDate>Sun, 29 Sep 2024 11:01:42 GMT</pubDate>
            <atom:updated>2024-12-17T20:41:40.365Z</atom:updated>
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            <title><![CDATA[Hands-On Numerical Derivative with Python, from Zero to Hero]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/data-science/hands-on-numerical-derivative-with-python-from-zero-to-hero-79eb5b5ffabf?source=rss-254e653181d2------2"><img src="https://cdn-images-1.medium.com/max/2600/0*Q6BC8DdWFk7S9YZN" width="3264"></a></p><p class="medium-feed-snippet">Here&#x2019;s everything you need to know (beyond the standard definition) to master the numerical derivative world</p><p class="medium-feed-link"><a href="https://medium.com/data-science/hands-on-numerical-derivative-with-python-from-zero-to-hero-79eb5b5ffabf?source=rss-254e653181d2------2">Continue reading on TDS Archive »</a></p></div>]]></description>
            <link>https://medium.com/data-science/hands-on-numerical-derivative-with-python-from-zero-to-hero-79eb5b5ffabf?source=rss-254e653181d2------2</link>
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            <category><![CDATA[data-science]]></category>
            <category><![CDATA[time-series-analysis]]></category>
            <category><![CDATA[derivatives]]></category>
            <category><![CDATA[python]]></category>
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            <dc:creator><![CDATA[Piero Paialunga]]></dc:creator>
            <pubDate>Sun, 22 Sep 2024 11:02:02 GMT</pubDate>
            <atom:updated>2024-12-17T21:39:13.564Z</atom:updated>
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            <title><![CDATA[Applications of Rolling Windows for Time Series, with Python]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/data-science/applications-of-rolling-windows-for-time-series-with-python-1a4bbe44901d?source=rss-254e653181d2------2"><img src="https://cdn-images-1.medium.com/max/2448/1*PxTOHSsbmvO5xNYMxbcRGA.jpeg" width="2448"></a></p><p class="medium-feed-snippet">Here&#x2019;s some powerful applications of Rolling Windows and Time Series</p><p class="medium-feed-link"><a href="https://medium.com/data-science/applications-of-rolling-windows-for-time-series-with-python-1a4bbe44901d?source=rss-254e653181d2------2">Continue reading on TDS Archive »</a></p></div>]]></description>
            <link>https://medium.com/data-science/applications-of-rolling-windows-for-time-series-with-python-1a4bbe44901d?source=rss-254e653181d2------2</link>
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            <category><![CDATA[data-science]]></category>
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            <category><![CDATA[timeseries]]></category>
            <category><![CDATA[machine-learning]]></category>
            <category><![CDATA[python]]></category>
            <dc:creator><![CDATA[Piero Paialunga]]></dc:creator>
            <pubDate>Sun, 15 Sep 2024 14:02:02 GMT</pubDate>
            <atom:updated>2024-12-18T19:13:55.795Z</atom:updated>
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            <title><![CDATA[From Theory to Practice with Particle Swarm Optimization, Using Python]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/data-science/from-theory-to-practice-with-particle-swarm-optimization-using-python-5414bbe8feb6?source=rss-254e653181d2------2"><img src="https://cdn-images-1.medium.com/max/2600/1*ORdXnFF2-Dz_HDdY0RmgYw.jpeg" width="5142"></a></p><p class="medium-feed-snippet">Here&#x2019;s a tutorial on what PSO is and how to use it</p><p class="medium-feed-link"><a href="https://medium.com/data-science/from-theory-to-practice-with-particle-swarm-optimization-using-python-5414bbe8feb6?source=rss-254e653181d2------2">Continue reading on TDS Archive »</a></p></div>]]></description>
            <link>https://medium.com/data-science/from-theory-to-practice-with-particle-swarm-optimization-using-python-5414bbe8feb6?source=rss-254e653181d2------2</link>
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            <category><![CDATA[artificial-intelligence]]></category>
            <category><![CDATA[getting-started]]></category>
            <category><![CDATA[machine-learning]]></category>
            <category><![CDATA[python]]></category>
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            <dc:creator><![CDATA[Piero Paialunga]]></dc:creator>
            <pubDate>Sat, 07 Sep 2024 01:22:20 GMT</pubDate>
            <atom:updated>2024-12-18T19:21:06.971Z</atom:updated>
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            <title><![CDATA[Hands-On Global Optimization Methods, with Python]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/data-science/hands-on-global-optimization-methods-with-python-07bff0e584a9?source=rss-254e653181d2------2"><img src="https://cdn-images-1.medium.com/max/1792/1*vZUDdluD4iLCnR-X_UVa4Q.png" width="1792"></a></p><p class="medium-feed-snippet">Four methods to find the maximum (or minimum) of your black box objective function</p><p class="medium-feed-link"><a href="https://medium.com/data-science/hands-on-global-optimization-methods-with-python-07bff0e584a9?source=rss-254e653181d2------2">Continue reading on TDS Archive »</a></p></div>]]></description>
            <link>https://medium.com/data-science/hands-on-global-optimization-methods-with-python-07bff0e584a9?source=rss-254e653181d2------2</link>
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            <category><![CDATA[getting-started]]></category>
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            <dc:creator><![CDATA[Piero Paialunga]]></dc:creator>
            <pubDate>Wed, 04 Sep 2024 07:04:59 GMT</pubDate>
            <atom:updated>2025-01-01T16:31:49.070Z</atom:updated>
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            <title><![CDATA[Hands On Neural Networks and Time Series, with Python]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/data-science/hands-on-neural-networks-and-time-series-with-python-a61d7d75f3d9?source=rss-254e653181d2------2"><img src="https://cdn-images-1.medium.com/max/2600/0*yRNrwJiRBja2F-FB" width="3456"></a></p><p class="medium-feed-snippet">From the very simple Feed Forward Neural Networks to the majestic transformers: everything you need to know</p><p class="medium-feed-link"><a href="https://medium.com/data-science/hands-on-neural-networks-and-time-series-with-python-a61d7d75f3d9?source=rss-254e653181d2------2">Continue reading on TDS Archive »</a></p></div>]]></description>
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            <category><![CDATA[data-science]]></category>
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            <dc:creator><![CDATA[Piero Paialunga]]></dc:creator>
            <pubDate>Fri, 30 Aug 2024 03:58:59 GMT</pubDate>
            <atom:updated>2025-01-01T16:54:59.359Z</atom:updated>
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            <title><![CDATA[Feature Extraction for Time Series, from Theory to Practice, with Python]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/data-science/feature-extraction-for-time-series-from-theory-to-practice-with-python-25631c6d8fcb?source=rss-254e653181d2------2"><img src="https://cdn-images-1.medium.com/max/2600/1*AOtkk9sxhG1CwceiiIYZiw.jpeg" width="6000"></a></p><p class="medium-feed-snippet">Here&#x2019;s everything you need to know when extracting features for Time Series analysis</p><p class="medium-feed-link"><a href="https://medium.com/data-science/feature-extraction-for-time-series-from-theory-to-practice-with-python-25631c6d8fcb?source=rss-254e653181d2------2">Continue reading on TDS Archive »</a></p></div>]]></description>
            <link>https://medium.com/data-science/feature-extraction-for-time-series-from-theory-to-practice-with-python-25631c6d8fcb?source=rss-254e653181d2------2</link>
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            <category><![CDATA[machine-learning]]></category>
            <category><![CDATA[time-series-analysis]]></category>
            <category><![CDATA[feature-engineering]]></category>
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            <dc:creator><![CDATA[Piero Paialunga]]></dc:creator>
            <pubDate>Sat, 24 Aug 2024 00:22:14 GMT</pubDate>
            <atom:updated>2025-01-01T17:18:31.224Z</atom:updated>
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            <title><![CDATA[Hands-on Time Series Anomaly Detection using Autoencoders, with Python]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/data-science/hands-on-time-series-anomaly-detection-using-autoencoders-with-python-7cd893bbc122?source=rss-254e653181d2------2"><img src="https://cdn-images-1.medium.com/max/2600/1*bAABgtZtAIG5YW1oEjW3pA.jpeg" width="5184"></a></p><p class="medium-feed-snippet">Here&#x2019;s how to use Autoencoders to detect signals with anomalies in a few lines of codes</p><p class="medium-feed-link"><a href="https://medium.com/data-science/hands-on-time-series-anomaly-detection-using-autoencoders-with-python-7cd893bbc122?source=rss-254e653181d2------2">Continue reading on TDS Archive »</a></p></div>]]></description>
            <link>https://medium.com/data-science/hands-on-time-series-anomaly-detection-using-autoencoders-with-python-7cd893bbc122?source=rss-254e653181d2------2</link>
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            <category><![CDATA[anomaly-detection]]></category>
            <category><![CDATA[data-science]]></category>
            <category><![CDATA[hands-on-tutorials]]></category>
            <category><![CDATA[time-series-analysis]]></category>
            <category><![CDATA[machine-learning]]></category>
            <dc:creator><![CDATA[Piero Paialunga]]></dc:creator>
            <pubDate>Wed, 21 Aug 2024 00:03:49 GMT</pubDate>
            <atom:updated>2025-01-01T17:48:38.508Z</atom:updated>
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