<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>Pi - Tag - Jorgen Bergstrom</title><link>https://bergstrom.org/tags/pi/</link><description>Pi - Tag - Jorgen Bergstrom</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><copyright>Jorgen Bergstrom</copyright><lastBuildDate>Sat, 27 Apr 2024 00:00:00 -0500</lastBuildDate><atom:link href="https://bergstrom.org/tags/pi/" rel="self" type="application/rss+xml"/><item><title>Calculate Pi Using Python</title><link>https://bergstrom.org/posts/calculate_pi_using_python/</link><pubDate>Sat, 27 Apr 2024 00:00:00 -0500</pubDate><author>Jorgen Bergstrom</author><guid>https://bergstrom.org/posts/calculate_pi_using_python/</guid><description>Background The purpose of this article is to demonstrate how JupyterLab can be used to solve numerical problems using Python.
Code Location You can find the code in this example in this repo. My example here is not a machine learning problem, but instead focuses on how one can calculate an approximate value of Pi. You may want to know why you want to do this since you can always just type:</description></item></channel></rss>