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      <title>Self-Hosted Particle Physics Data Analysis: ROOT vs uproot vs Awkward Array</title>
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      <description>&lt;h2 id=&#34;introduction&#34;&gt;Introduction&lt;/h2&gt;&#xA;&lt;p&gt;Particle physics experiments at CERN&amp;rsquo;s Large Hadron Collider (LHC) generate petabytes of collision data annually — the ATLAS and CMS detectors alone produce over 100 petabytes each year. Analyzing this data requires specialized frameworks designed for the unique challenges of high-energy physics (HEP): hierarchical event structures, jagged arrays of varying-length particle collections, four-vector mathematics, and statistical inference at the boundaries of the Standard Model.&lt;/p&gt;</description>
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      <title>Self-Hosted Single-Cell RNA Sequencing Analysis: Seurat vs Scanpy vs Monocle3</title>
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      <description>&lt;p&gt;Single-cell RNA sequencing (scRNA-seq) has transformed our understanding of cellular heterogeneity, enabling researchers to peer into the transcriptomes of individual cells rather than averaging signals across bulk tissue. But with great data comes great computational challenges — a typical scRNA-seq experiment can generate expression profiles for tens of thousands of genes across hundreds of thousands of cells.&lt;/p&gt;</description>
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