<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Testing on Den's Hub: Technology Solutions, Guides and Best Practices</title><link>https://denshub.com/en/tags/testing/</link><description>Recent content in Testing on Den's Hub: Technology Solutions, Guides and Best Practices</description><generator>Hugo</generator><language>en</language><copyright>This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.</copyright><lastBuildDate>Sun, 19 Nov 2023 12:00:00 +0100</lastBuildDate><atom:link href="https://denshub.com/en/tags/testing/index.xml" rel="self" type="application/rss+xml"/><item><title>Introduction to Python Code Testing with PyTest</title><link>https://denshub.com/en/intro-to-testing-pytest/</link><pubDate>Sat, 12 Feb 2022 12:00:00 +0100</pubDate><guid>https://denshub.com/en/intro-to-testing-pytest/</guid><description>&lt;p&gt;A test is code that executes code. When you start developing a new feature for your Python project, you could formalize its requirements as code. When you do so, you not only document the way your implementation&amp;rsquo;s code shall be used, but you can also run all the tests automatically to always make sure your code matches your requirements. One such tool, which assists you in doing this is &lt;code&gt;pytest&lt;/code&gt; and it&amp;rsquo;s probably the most popular testing tool in the Python universe.&lt;/p&gt;</description></item></channel></rss>