<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <channel>
    <title>DEV Community: Mia Koring</title>
    <description>The latest articles on DEV Community by Mia Koring (@mia_koring_962598adda4663).</description>
    <link>https://dev.to/mia_koring_962598adda4663</link>
    <image>
      <url>https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F1668315%2F2372b777-9f82-4e93-be59-35b2544b1130.png</url>
      <title>DEV Community: Mia Koring</title>
      <link>https://dev.to/mia_koring_962598adda4663</link>
    </image>
    <atom:link rel="self" type="application/rss+xml" href="https://dev.to/feed/mia_koring_962598adda4663"/>
    <language>en</language>
    <item>
      <title>Text Compressing Introduction - Huffman Coding in Swift</title>
      <dc:creator>Mia Koring</dc:creator>
      <pubDate>Mon, 23 Jun 2025 20:49:39 +0000</pubDate>
      <link>https://dev.to/mia_koring_962598adda4663/text-compressing-introduction-huffman-coding-in-swift-1o97</link>
      <guid>https://dev.to/mia_koring_962598adda4663/text-compressing-introduction-huffman-coding-in-swift-1o97</guid>
      <description>&lt;h1&gt;
  
  
  Text Compression for Beginners: Building Huffman Coding from Scratch in Swift
&lt;/h1&gt;

&lt;p&gt;Ever wondered how file compression actually works? This weekend, curiosity got the better of me, so I decided to dive deep and implement Huffman coding from scratch.&lt;/p&gt;

&lt;h2&gt;
  
  
  What you'll learn:
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;🌳 How Huffman trees work (with visual examples)&lt;/li&gt;
&lt;li&gt;📊 Why Huffman is perfect for text/code compression
&lt;/li&gt;
&lt;li&gt;🔍 Step-by-step walkthrough of the "Mississippi" example&lt;/li&gt;
&lt;li&gt;⚡ How to achieve ~50% compression on typical text files&lt;/li&gt;
&lt;/ul&gt;

&lt;h2&gt;
  
  
  Why Huffman?
&lt;/h2&gt;

&lt;p&gt;Unlike Run Length Encoding (great for images), Huffman coding shines with the kind of files we work with daily - source code, JSON, XML, plain text. It assigns shorter bit sequences to frequent characters and longer ones to rare characters.&lt;/p&gt;

&lt;p&gt;The best part? It's lossless - your original file is perfectly restored after decompression.&lt;/p&gt;

&lt;h2&gt;
  
  
  What we'll build:
&lt;/h2&gt;

&lt;p&gt;A complete compression/decompression system including:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;Frequency analysis&lt;/li&gt;
&lt;li&gt;Huffman tree construction
&lt;/li&gt;
&lt;li&gt;Bit-level file operations&lt;/li&gt;
&lt;li&gt;Compact tree serialization&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;Ready to see how "Mississippi" becomes just 3 bytes? Let's dive in! 👇&lt;/p&gt;

&lt;p&gt;&lt;a href="https://miakoring.de/blog/huffman" rel="noopener noreferrer"&gt;Continue reading on my blog →&lt;/a&gt;&lt;/p&gt;




&lt;p&gt;&lt;em&gt;P.S. The CLI tool is called "Kompressor" after my vacuum-packed cat plushie that never fully "decompressed" 😸&lt;/em&gt;&lt;/p&gt;

</description>
      <category>computerscience</category>
      <category>algorithms</category>
      <category>swift</category>
      <category>beginners</category>
    </item>
  </channel>
</rss>
