Best of Algorithms — October 2025

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    Article
    Avatar of freecodecampfreeCodeCamp·31w

    Master Technical Interviews by Learning Data Structures and Algorithms

    A comprehensive 49-hour course covering data structures and algorithms for technical interview preparation. The course teaches fundamental concepts including time and space complexity analysis with Big O notation, and covers major data structures (arrays, linked lists, stacks, queues, trees, graphs) and algorithm patterns (sliding window, two pointers, dynamic programming, backtracking, greedy algorithms). Created by Parth Vyas and available on freeCodeCamp's YouTube channel.

  2. 2
    Article
    Avatar of physPhys.org·29w

    Mathematical proof debunks the idea that the universe is a computer simulation

    Researchers from UBC Okanagan have mathematically proven that the universe cannot be a computer simulation. Using Gödel's incompleteness theorem and related mathematical proofs, they demonstrated that reality's fundamental nature requires non-algorithmic understanding—a form of comprehension that cannot be computed or simulated. Since any simulation must follow algorithmic rules, and the universe operates on principles beyond computation, the simulation hypothesis is mathematically impossible. The research moves the simulation question from philosophy into testable science, showing that a complete theory of everything cannot be derived from computation alone.

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    Video
    Avatar of youtubeYouTube·31w

    Coding in 2026: What No One Tells You

    Modern coding education has fundamentally changed with AI integration. Learning now involves combining traditional fundamentals like Python syntax, data structures, algorithms, and system design with AI-powered coding assistants and LLMs. Recommended approach includes structured courses that incorporate AI workflows, mastering prompt engineering using the rule of three (subject, end result, context), gradually progressing from basic LLMs to advanced tools like Cursor and Augment, and hands-on practice with cloud platforms like AWS and Azure for system design.

  4. 4
    Article
    Avatar of javarevisitedJavarevisited·32w

    I Tried 30+ Coding Interview Resources — Here Are My Top 7 Recommendations for 2025

    A comprehensive review of coding interview preparation platforms based on hands-on experience with 30+ resources. Recommends seven platforms for 2025: ByteByteGo for system design, AlgoMonster for algorithms and patterns, Educative for structured learning paths, DesignGurus for system design practice, Udemy for affordable courses, Zero to Mastery Academy for career growth, and LeetCode for problem practice. Includes current discount offers and explains selection criteria including practical learning, structured curriculum, instructor expertise, and value for money.

  5. 5
    Article
    Avatar of hnHacker News·30w

    987654321 / 123456789

    Explores a mathematical curiosity where 987654321 / 123456789 ≈ 8. The pattern generalizes across number bases: for any base b, the ratio of digits in descending order to ascending order equals approximately b-2, with a fractional part of roughly 1/b^(b-2). Python code demonstrates this holds for bases up to 1000, with algebraic formulas provided for exact calculations. The analysis reveals why floating-point arithmetic returns exact integers for larger bases like hexadecimal.

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    Article
    Avatar of javarevisitedJavarevisited·33w

    ByteByteGo vs. LeetCode? Which One Is Better for Tech Interviews in 2025?

    ByteByteGo and LeetCode serve different purposes for technical interview preparation. LeetCode excels at providing thousands of coding problems for algorithmic practice, while ByteByteGo offers a comprehensive learning platform covering coding patterns, system design, OOP design, and ML system design with visual explanations. ByteByteGo uses a pattern-based approach to teach underlying concepts rather than just problem repetition, making it particularly valuable for mid-to-senior level roles requiring system design knowledge. LeetCode remains strong for daily coding practice and has a larger community, but ByteByteGo provides more structured, all-in-one preparation for FAANG-level interviews, especially with its current lifetime plan offering.

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    Article
    Avatar of game_designingGame Designing·31w

    Procedural Generation Explained (And the Tools That Power It)

    Procedural generation uses algorithms to automatically create game content like terrain, objects, and levels instead of manual design. The technique starts with a seed value and applies rules to generate natural-looking results efficiently. Developers can apply it to animation, dialogue, levels, loot systems, and terrain. Popular tools include Houdini, Blender, Maya, and MapMagic 2. Games like Minecraft and No Man's Sky demonstrate how this approach enables vast, varied worlds while boosting replay value and scalability.

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