<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Conda on The Augmented Scholar</title><link>https://augmentedscholars.com/tags/conda/</link><description>Recent content in Conda on The Augmented Scholar</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 17 Jul 2026 17:59:48 +0400</lastBuildDate><atom:link href="https://augmentedscholars.com/tags/conda/index.xml" rel="self" type="application/rss+xml"/><item><title>Anaconda to Apptainer: Reproducible Python Environments</title><link>https://augmentedscholars.com/posts/code-automation/anaconda-to-apptainer-reproducible-python-environments/</link><pubDate>Thu, 05 Mar 2026 00:00:00 +0000</pubDate><guid>https://augmentedscholars.com/posts/code-automation/anaconda-to-apptainer-reproducible-python-environments/</guid><description>&lt;h1 id="build-reproducible-python-environments-with-anaconda-to-apptainer--without-broken-hpc-deployments"&gt;Build Reproducible Python Environments with Anaconda to Apptainer — Without Broken HPC Deployments&lt;/h1&gt;
&lt;p&gt;You&amp;rsquo;ve spent weeks perfecting a Python environment locally. Dependencies are locked in. Your code runs flawlessly on your laptop. Then you push it to the HPC cluster, and everything breaks.&lt;/p&gt;</description></item><item><title>Apptainer &amp; Conda: Reproducible HPC Python Environments</title><link>https://augmentedscholars.com/posts/code-automation/apptainer-conda-reproducible-hpc-python-environments/</link><pubDate>Thu, 05 Mar 2026 00:00:00 +0000</pubDate><guid>https://augmentedscholars.com/posts/code-automation/apptainer-conda-reproducible-hpc-python-environments/</guid><description>&lt;h1 id="build-reproducible-python-environments-with-apptainer--conda--for-hpc-researchers"&gt;Build Reproducible Python Environments with Apptainer &amp;amp; Conda — For HPC Researchers&lt;/h1&gt;
&lt;p&gt;Your Python script runs perfectly on your laptop. You transfer it to the cluster. Runtime fails. Missing dependencies. Version conflicts. Different Python builds. You spend hours debugging environment mismatches instead of running science.&lt;/p&gt;</description></item></channel></rss>