<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Numpy on Noureddine RAMDI</title><link>https://ramdi.fr/tags/numpy/</link><description>Recent content in Numpy 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/numpy/index.xml" rel="self" type="application/rss+xml"/><item><title>ML-From-Scratch: Exploring Machine Learning Fundamentals with Pure Python and NumPy</title><link>https://ramdi.fr/github-stars/ml-from-scratch-exploring-machine-learning-fundamentals-with-pure-python-and-numpy/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/ml-from-scratch-exploring-machine-learning-fundamentals-with-pure-python-and-numpy/</guid><description>ML-From-Scratch offers bare-bones Python implementations of key machine learning algorithms using only NumPy, focusing on transparency over efficiency. Explore how it demystifies ML fundamentals.</description></item><item><title>Python Data Science Handbook: Exploring the Core Python Data Science Stack Through Executable Notebooks</title><link>https://ramdi.fr/github-stars/python-data-science-handbook-exploring-the-core-python-data-science-stack-through-executable-notebooks/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/python-data-science-handbook-exploring-the-core-python-data-science-stack-through-executable-notebooks/</guid><description>Explore the Python Data Science Handbook repo offering runnable Jupyter notebooks covering NumPy, Pandas, Matplotlib, and Scikit-Learn with no local setup required.</description></item></channel></rss>