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    <title>Space Complexity on Ji Molloy</title>
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      <title>⏳📦 Time &amp; Space Complexity Explained with Pokémon! 🎮🐉</title>
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      <pubDate>Sun, 30 Mar 2025 20:19:56 +1300</pubDate>
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      <description>&lt;p&gt;&lt;img alt=&#34;alt text&#34; loading=&#34;lazy&#34; src=&#34;https://jimolloy.com/assets/images/eevee-and-charizard-space-time.png&#34;&gt;&lt;/p&gt;
&lt;p&gt;When writing code, we often want to know &lt;em&gt;how fast&lt;/em&gt; it runs ⏩ and &lt;em&gt;how much memory&lt;/em&gt; it uses 💾. This is where &lt;strong&gt;time complexity&lt;/strong&gt; and &lt;strong&gt;space complexity&lt;/strong&gt; comes in! Let&amp;rsquo;s break these down using Pokémon themed examples! 🔥&lt;/p&gt;
&lt;h2 id=&#34;-big-o-notation---the-trainers-guide-&#34;&gt;⚡ Big O Notation - The Trainer’s Guide 📖&lt;/h2&gt;
&lt;p&gt;&lt;a href=&#34;https://www.geeksforgeeks.org/analysis-algorithms-big-o-analysis/&#34;&gt;Big O notation&lt;/a&gt; helps us understand how an algorithm scales as the input size grows. Think of it as training a Pokémon: some level up quickly ⚡, while others take longer ⏳!&lt;/p&gt;</description>
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