Best of Computing — January 2025

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   Article

   SitePoint·1y

   Learn Data Structures and Algorithms: Complete Tutorial

   Data Structures and Algorithms (DSA) are essential for efficient programming and form the backbone of modern computer science. Mastering both linear and non-linear data structures enables developers to handle diverse scenarios effectively. Techniques such as divide-and-conquer, dynamic programming, and greedy algorithms are crucial for solving complex problems efficiently. Understanding DSA is vital for building scalable applications and excelling in technical interviews. The post also discusses the latest trends like quantum algorithms, AI-driven data structures, and blockchain optimizations.

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2. 2
   Article

   Tailscale·1y

   Living in the future, by the numbers

   Over the past two decades, technological advancements have rapidly transformed computation power, web server efficiency, memory capacity, and storage capabilities. Modern CPUs, GPUs, and TPUs have significantly sped up numerical computations, while web servers now benefit from refined programming languages and more efficient hardware. RAM and hard disk sizes have dramatically increased, and SSDs provide unparalleled transaction speeds and reliability. These improvements allow for vastly different and more efficient system designs than those used in the early 2000s.

   16
3. 3
   Video

   Theo - t3․gg·1y

   I finally know how CPUs work (w/ Casey Muratori)

   The post discusses the complexity of CPU workings, focusing on how hardware and software interact. It features a conversation with Casey Muratori about the differences between high-level programming instructions and the lower-level micro operations that CPUs execute. They explore why hardware companies keep their internal workings secret, the misconceptions around instruction sets, and the importance of understanding CPU architecture for programmers. The discussion emphasizes the significance of efficient coding practices and the evolving landscape of JavaScript and hardware interactions.

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