<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Interactive on Noureddine RAMDI</title><link>https://ramdi.fr/tags/interactive/</link><description>Recent content in Interactive on Noureddine RAMDI</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 23 May 2026 20:41:27 +0000</lastBuildDate><atom:link href="https://ramdi.fr/tags/interactive/index.xml" rel="self" type="application/rss+xml"/><item><title>Learning C programming with hands-on projects on LabEx</title><link>https://ramdi.fr/github-stars/learning-c-programming-with-hands-on-projects-on-labex/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/learning-c-programming-with-hands-on-projects-on-labex/</guid><description>Explore LabEx&amp;rsquo;s curated C programming projects teaching low-level concepts through games and data structures, all in a browser playground with no setup.</description></item><item><title>Dive into Deep Learning (D2L.ai) Chinese Edition: An interactive textbook bridging theory and code</title><link>https://ramdi.fr/github-stars/dive-into-deep-learning-d2l-ai-chinese-edition-an-interactive-textbook-bridging-theory-and-code/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/dive-into-deep-learning-d2l-ai-chinese-edition-an-interactive-textbook-bridging-theory-and-code/</guid><description>Dive into Deep Learning Chinese edition offers an interactive, code-driven deep learning textbook in Python, integrating theory with runnable examples for hands-on learning.</description></item></channel></rss>