<?xml version="1.0" encoding="utf-8" standalone="yes"?><?xml-stylesheet type="text/xsl" media="screen" href="/rss.xsl"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Sql on Gabe</title><link>https://gabriel.gaucimaistre.com/tags/sql/</link><description>Recent content in Sql on Gabe</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Sun, 19 Feb 2023 10:00:00 +0000</lastBuildDate><atom:link href="https://gabriel.gaucimaistre.com/tags/sql/index.xml" rel="self" type="application/rss+xml"/><item><title>The Future of Machine Learning is not Python, it's SQL</title><link>https://gabriel.gaucimaistre.com/2023/02/the-future-of-machine-learning-is-not-python-its-sql/</link><pubDate>Sun, 19 Feb 2023 10:00:00 +0000</pubDate><guid>https://gabriel.gaucimaistre.com/2023/02/the-future-of-machine-learning-is-not-python-its-sql/</guid><description>Python is touted as the language to learn and use for DS and ML thanks to its easy to understand syntax making it quick to write, free and open-source for simple adoption, vast DS &amp;amp; ML toolset making you spoilt for choice, and large community ready to help. However, there are many cracks which start to show when using Python in production.</description></item></channel></rss>