<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Data-Science on Dev Matters</title><link>https://www.munish-mehta.com/tags/data-science/</link><description>Recent content in Data-Science on Dev Matters</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 29 Apr 2023 00:00:00 +0000</lastBuildDate><atom:link href="https://www.munish-mehta.com/tags/data-science/index.xml" rel="self" type="application/rss+xml"/><item><title>Installing Jupyter Notebook in virtual env</title><link>https://www.munish-mehta.com/post/installing-jupyter-notebook-in-virtual-env/</link><pubDate>Sat, 29 Apr 2023 00:00:00 +0000</pubDate><guid>https://www.munish-mehta.com/post/installing-jupyter-notebook-in-virtual-env/</guid><description>Jupyter Notebook is a popular choice among data scientist and data engineer developing application. There are numerous factors of why Jupyter Notebooks are preferred choice for getting up and running quickly. There are several posts why they do so. &lt;a href="https://realpython.com/lessons/why-use-jupyter-notebooks/">This&lt;/a> article on real python nicely explains.</description></item></channel></rss>