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    <title>Gary Koplik</title>
    <subtitle>Gary Koplik&#x27;s personal website: projects, blog, and CV</subtitle>
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    <updated>2026-05-26T00:00:00+00:00</updated>
    <id>https://gjkoplik.github.io/projects/atom.xml</id>
    <entry xml:lang="en">
        <title>Talking with a Partner Instead of Typing at a Worker</title>
        <published>2026-05-26T00:00:00+00:00</published>
        <updated>2026-05-26T00:00:00+00:00</updated>
        
        <author>
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        <link rel="alternate" type="text/html" href="https://gjkoplik.github.io/projects/blog/talking-with-a-partner/"/>
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        <content type="html" xml:base="https://gjkoplik.github.io/projects/blog/talking-with-a-partner/">&lt;p&gt;You&#x27;ll say more and say it faster if you speak with LLMs instead of typing at them. I wrote about how switching to voice dictation changed both the quantity and the quality of context I give coding agents.&lt;&#x2F;p&gt;
&lt;p&gt;&lt;a href=&quot;https:&#x2F;&#x2F;medium.com&#x2F;@gary.koplik&#x2F;talking-with-a-partner-instead-of-typing-at-a-worker-9c61be213860&quot;&gt;Read &quot;Talking with a Partner Instead of Typing at a Worker&quot; on Medium »&lt;&#x2F;a&gt;&lt;&#x2F;p&gt;
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    </entry>
    <entry xml:lang="en">
        <title>Hiveplotlib v0.27.0 Speedups</title>
        <published>2026-04-11T00:00:00+00:00</published>
        <updated>2026-04-11T00:00:00+00:00</updated>
        
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        <link rel="alternate" type="text/html" href="https://gjkoplik.github.io/projects/blog/hiveplotlib-v027-speedups/"/>
        <id>https://gjkoplik.github.io/projects/blog/hiveplotlib-v027-speedups/</id>
        
        <content type="html" xml:base="https://gjkoplik.github.io/projects/blog/hiveplotlib-v027-speedups/">&lt;p&gt;Hiveplotlib v0.27.0 brings performance improvements when generating hive plots for large networks, through Numba JIT compilation, parallelization, and optimized datashader rendering.&lt;&#x2F;p&gt;
&lt;p&gt;&lt;a href=&quot;https:&#x2F;&#x2F;hiveplotlib.readthedocs.io&#x2F;stable&#x2F;blog&#x2F;v0.27.0_speedups.html&quot;&gt;Read &quot;Hiveplotlib v0.27.0 Speedups&quot; on the hiveplotlib blog »&lt;&#x2F;a&gt;&lt;&#x2F;p&gt;
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    </entry>
    <entry xml:lang="en">
        <title>Migrating to the New HivePlot Class in 0.26</title>
        <published>2025-09-20T00:00:00+00:00</published>
        <updated>2025-09-20T00:00:00+00:00</updated>
        
        <author>
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        <link rel="alternate" type="text/html" href="https://gjkoplik.github.io/projects/blog/hiveplotlib-migrating-to-new-hiveplot-class/"/>
        <id>https://gjkoplik.github.io/projects/blog/hiveplotlib-migrating-to-new-hiveplot-class/</id>
        
        <content type="html" xml:base="https://gjkoplik.github.io/projects/blog/hiveplotlib-migrating-to-new-hiveplot-class/">&lt;p&gt;A migration guide for hiveplotlib v0.26: how to transition from the &lt;code&gt;hive_plot_n_axes()&lt;&#x2F;code&gt; function and the older &lt;code&gt;HivePlot&lt;&#x2F;code&gt; class to the new node and edge data structures.&lt;&#x2F;p&gt;
&lt;p&gt;&lt;a href=&quot;https:&#x2F;&#x2F;hiveplotlib.readthedocs.io&#x2F;stable&#x2F;blog&#x2F;migrating_to_new_hiveplot_class.html&quot;&gt;Read &quot;Migrating to the New HivePlot Class in 0.26&quot; on the hiveplotlib blog »&lt;&#x2F;a&gt;&lt;&#x2F;p&gt;
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    </entry>
    <entry xml:lang="en">
        <title>Hiveplotlib v0.26.0</title>
        <published>2025-09-20T00:00:00+00:00</published>
        <updated>2025-09-20T00:00:00+00:00</updated>
        
        <author>
          <name>
            
              Unknown
            
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        </author>
        
        <link rel="alternate" type="text/html" href="https://gjkoplik.github.io/projects/blog/hiveplotlib-v026-release/"/>
        <id>https://gjkoplik.github.io/projects/blog/hiveplotlib-v026-release/</id>
        
        <content type="html" xml:base="https://gjkoplik.github.io/projects/blog/hiveplotlib-v026-release/">&lt;p&gt;Hiveplotlib v0.26.0 was the package&#x27;s biggest API overhaul: a quick-access &lt;code&gt;plot()&lt;&#x2F;code&gt; method, new classes for handling tabular node and edge data, and better support for incorporating metadata into visualizations.&lt;&#x2F;p&gt;
&lt;p&gt;&lt;a href=&quot;https:&#x2F;&#x2F;hiveplotlib.readthedocs.io&#x2F;stable&#x2F;blog&#x2F;v0.26.0_release.html&quot;&gt;Read &quot;Hiveplotlib v0.26.0&quot; on the hiveplotlib blog »&lt;&#x2F;a&gt;&lt;&#x2F;p&gt;
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    </entry>
    <entry xml:lang="en">
        <title>Introducing Hiveplotlib</title>
        <published>2020-11-09T00:00:00+00:00</published>
        <updated>2020-11-09T00:00:00+00:00</updated>
        
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              Unknown
            
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        <content type="html" xml:base="https://gjkoplik.github.io/projects/blog/introducing-hiveplotlib/">&lt;p&gt;Hiveplotlib is a new, open-source Python package for generating hive plots. Originally developed by Martin Krzywinski, hive plots generate well-defined figures that allow for interpretable, visual explorations of network data.&lt;&#x2F;p&gt;
&lt;p&gt;The package lives on &lt;a href=&quot;https:&#x2F;&#x2F;gitlab.com&#x2F;hiveplotlib&#x2F;hiveplotlib&quot;&gt;GitLab&lt;&#x2F;a&gt;, with &lt;a href=&quot;https:&#x2F;&#x2F;hiveplotlib.readthedocs.io&#x2F;stable&#x2F;&quot;&gt;documentation&lt;&#x2F;a&gt; covering further explanation of hive plots, examples on both toy and real data, and full API documentation.&lt;&#x2F;p&gt;
&lt;p&gt;I wrote a full introduction over on Towards Data Science:&lt;&#x2F;p&gt;
&lt;p&gt;&lt;a href=&quot;https:&#x2F;&#x2F;medium.com&#x2F;data-science&#x2F;introducing-hiveplotlib-31014cefc7ac&quot;&gt;Read &quot;Introducing Hiveplotlib&quot; on Towards Data Science »&lt;&#x2F;a&gt;&lt;&#x2F;p&gt;
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    </entry>
    <entry xml:lang="en">
        <title>A Non-Mathy Introduction to Persistent Homology</title>
        <published>2019-10-15T00:00:00+00:00</published>
        <updated>2019-10-15T00:00:00+00:00</updated>
        
        <author>
          <name>
            
              Unknown
            
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        </author>
        
        <link rel="alternate" type="text/html" href="https://gjkoplik.github.io/projects/blog/persistent-homology-with-examples/"/>
        <id>https://gjkoplik.github.io/projects/blog/persistent-homology-with-examples/</id>
        
        <content type="html" xml:base="https://gjkoplik.github.io/projects/blog/persistent-homology-with-examples/">&lt;p&gt;Working at Geometric Data Analytics, a company full of topologists, I routinely need to write and interpret tools from topological data analysis (TDA). TDA lives in the world of algebraic topology, a blending of abstract algebra and topology. Abstract algebra was never my strong suit, nor have I ever taken a formal topology class, so I wrote non-mathy explanations and examples for one of the tools I use most: persistent homology.&lt;&#x2F;p&gt;
&lt;p&gt;&lt;a href=&quot;https:&#x2F;&#x2F;medium.com&#x2F;data-science&#x2F;persistent-homology-with-examples-1974d4b9c3d0&quot;&gt;Read &quot;Persistent Homology with Examples&quot; on Towards Data Science »&lt;&#x2F;a&gt;&lt;&#x2F;p&gt;
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