<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>DataLiteracy on Hemanth Kumar Motukuri</title><link>https://hemanth7040.github.io/tags/dataliteracy/</link><description>Recent content in DataLiteracy on Hemanth Kumar Motukuri</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>© 2026 Hemanth Kumar Motukuri</copyright><lastBuildDate>Sun, 19 Apr 2026 08:00:00 +0530</lastBuildDate><atom:link href="https://hemanth7040.github.io/tags/dataliteracy/index.xml" rel="self" type="application/rss+xml"/><item><title>Phase 1: Replace Your Shell Scripts With Python — Data Literacy for DevOps Engineers</title><link>https://hemanth7040.github.io/posts/python/phase1/</link><pubDate>Sun, 19 Apr 2026 08:00:00 +0530</pubDate><guid>https://hemanth7040.github.io/posts/python/phase1/</guid><description>&lt;blockquote&gt;&lt;p&gt;&lt;strong&gt;Who this is for:&lt;/strong&gt; You finished Phase 0 and know Python basics. Now we learn the tools
that turn your Python knowledge into real DevOps and data work. No data science background needed.&lt;/p&gt;
&lt;/blockquote&gt;&lt;hr&gt;

&lt;h2 class="relative group"&gt;Why Does a DevOps Engineer Need Data Tools?
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&lt;/h2&gt;
&lt;p&gt;You already write Bash scripts to parse logs, count errors, and monitor systems.
Python&amp;rsquo;s data tools do the same things — but faster, with less code, and on much larger files.&lt;/p&gt;</description></item></channel></rss>