<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Anaconda on OpenChain KWG</title><link>https://OpenChain-Project.github.io/OpenChain-KWG/en/tags/anaconda/</link><description>Recent content in Anaconda on OpenChain KWG</description><generator>Hugo</generator><language>en</language><lastBuildDate>Mon, 10 Aug 2026 11:20:08 +0900</lastBuildDate><atom:link href="https://OpenChain-Project.github.io/OpenChain-KWG/en/tags/anaconda/index.xml" rel="self" type="application/rss+xml"/><item><title>Buy Anaconda If You Use It. If Not, Use conda-forge!</title><link>https://OpenChain-Project.github.io/OpenChain-KWG/en/blog/2023/03/13/anaconda-miniforge/</link><pubDate>Mon, 13 Mar 2023 00:00:00 +0000</pubDate><guid>https://OpenChain-Project.github.io/OpenChain-KWG/en/blog/2023/03/13/anaconda-miniforge/</guid><description>&lt;p&gt;Hello.&lt;/p&gt;
&lt;p&gt;Do you often use Anaconda when setting up a Python development environment? Python is widely used for everything from simple task automation to data analysis, AI training, and modeling, and running multiple Python projects can create the inconvenience of package version conflicts. Anaconda has the advantage of providing a virtual environment for each development project to prevent version conflicts, and it is widely used because it can be easily downloaded and installed from the &lt;a href="https://www.anaconda.com/"&gt;homepage&lt;/a&gt;.&lt;/p&gt;</description></item></channel></rss>