Best of Data StructuresOctober 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.

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    Article
    Avatar of devtoDEV·32w

    I Built Git from Scratch to Finally Understand What I've Been Using for Years

    A developer built Veridian, a simplified version control system in Rust, to understand Git's internals. Git is fundamentally a content-addressable storage system using three object types: blobs (file contents), trees (directory listings), and commits (snapshots with metadata). All objects are stored as SHA-1 hashed, zlib-compressed files in .git/objects. Branches are just text files containing commit hashes. The project revealed that Git's complexity comes from how it's taught, not its underlying architecture. Building a basic version control system with init, hash-object, write-tree, and commit-tree commands provides deeper understanding than reading documentation.

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    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.