<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Pandas on Noureddine RAMDI</title><link>https://ramdi.fr/tags/pandas/</link><description>Recent content in Pandas 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/pandas/index.xml" rel="self" type="application/rss+xml"/><item><title>Algorithmic trading with Python: modular quant tools built on pandas</title><link>https://ramdi.fr/github-stars/algorithmic-trading-with-python-modular-quant-tools-built-on-pandas/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/algorithmic-trading-with-python-modular-quant-tools-built-on-pandas/</guid><description>This repo offers modular Python utilities for quantitative trading research, featuring pure-Pandas indicators and OOP portfolio simulation—usable standalone in quant pipelines.</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>