Best of Data Structures — 2024

  1. 1
    Article
    Avatar of substackSubstack·2y

    How I Mastered Data Structures and Algorithms

    Mastering Data Structures and Algorithms (DSA) is crucial for clearing interviews at top tech companies like Amazon, Google, and Microsoft. The post provides efficient strategies for learning DSA, including focusing on key topics, learning one topic at a time, using real-world applications, implementing concepts from scratch, and practicing with problems. It also emphasizes the importance of solving problems over theoretical study, recognizing problem-solving patterns, and maintaining consistency and repetition to retain knowledge over time. Regular practice and revisiting challenging problems are key to success.

  2. 2
    Article
    Avatar of hnHacker News·2y

    Data Structures Cheat Sheet

    This guide provides an introduction to data structures and their representation in Memgraph. It explains the basics of graphs, linked lists, queues, stacks, and trees, along with examples and queries to create these data structures using Memgraph. The document also discusses tree traversal algorithms like BFS and DFS and demonstrates how to run these algorithms in Memgraph.

  3. 3
    Article
    Avatar of communityCommunity Picks·2y

    1 Year of Consistent LeetCoding

    After attempting the Google Foobar challenge and going through several interview rounds with Google, the author didn't get the job but found inspiration to master data structures and algorithms. They committed to solving LeetCode problems daily, resulting in a 365+ day streak. Key learnings included efficient array manipulation, string handling, understanding hash tables, sorting algorithms, and greedy algorithms. Regular practice and tracking progress were vital in improving their skills.

  4. 4
    Article
    Avatar of javarevisitedJavarevisited·2y

    How to Prepare for Coding Interviews in 2024? (with Resources)

    In today's competitive job market, preparing for coding interviews requires a systematic approach. Key areas to focus on include Data Structures and Algorithms, High-Level Design (HLD), Low-Level Design (LLD), CS Fundamentals, and Behavioral questions. Utilize resources such as DesignGuru.io, notable books, video channels, and platforms like Leetcode, Codemia, and Pramp for comprehensive preparation. Mock interviews and company-specific preparation are also essential for success.

  5. 5
    Article
    Avatar of communityCommunity Picks·2y

    10 Data Structures That Make Databases Fast and Scalable

    Modern databases achieve high speed and efficiency through the use of advanced data structures and indexing techniques. This includes hash indexes for fast insertion and lookup, B-Trees for optimized reads and writes, skip lists for fast operations on dynamic datasets, memtables for efficient writes, and SSTables for optimized storage of key-value pairs. Additional structures like inverted indexes, Bloom filters, bitmap indexes, R-trees, and Write-Ahead Logs further enhance performance and reliability by improving search capabilities, reducing memory usage, speeding up complex queries, and ensuring data consistency even during crashes.

  6. 6
    Article
    Avatar of freecodecampfreeCodeCamp·2y

    Learn Data Structures and Algorithms in 48 Hours

    Master Data Structures and Algorithms in this comprehensive course that covers algorithm analysis, data structures, and core concepts. Learn problem-solving skills, optimize solutions, and prepare for technical interviews.

  7. 7
    Video
    Avatar of youtubeYouTube·1y

    How I Mastered Data Structures and Algorithms in 8 Weeks

    Learn how to master data structures and algorithms in just 8 weeks through a practical, hands-on approach. Avoid common pitfalls like over-reliance on textbooks and tutorials. Instead, practice solving problems and seek help only when necessary. Form or join a small study group for accountability, consistency, and competitive motivation. Use techniques like the five whys to deeply understand each concept and ensure you can apply your knowledge effectively in coding interviews.

  8. 8
    Article
    Avatar of communityCommunity Picks·2y

    I Solved 300+ Leetcode problems here is what I learnt.

    A post describing the author's journey of solving 300+ Leetcode problems and the lessons they learned along the way.

  9. 9
    Article
    Avatar of engineerscodexEngineer’s Codex·2y

    Good programmers worry about data structures and their relationships

    Good programmers focus on designing robust data structures and understanding their relationships, as emphasized by Linus Torvalds, the creator of Git and Linux. This approach makes software more reliable, easy to maintain, and scalable. Complex systems benefit greatly from well-thought-out data models, which simplify application logic and reduce the need for complex code. Prioritizing data structure design saves time and effort in the long run.

  10. 10
    Video
    Avatar of youtubeYouTube·2y

    8 Data Structures Every Programmer Should Know

    Understanding fundamental data structures is crucial for optimizing code performance and problem-solving. This post covers eight essential data structures every programmer should know: arrays, linked lists, stacks, queues, hash tables, trees, heaps, and graphs. Each structure is explained with its definition, use cases, time complexities, and unique characteristics. It also emphasizes the importance of knowing which data structure to use in different programming scenarios.

  11. 11
    Article
    Avatar of c_communityC/C++ Community·2y

    C++ Mastery Roadmap: From Foundations to Advanced Applications

    A comprehensive roadmap to learning C++, covering foundational concepts, intermediate features, data structures and algorithms, advanced topics like low-level programming and GUI development with SDL, and best practices including code quality, testing, and deployment.

  12. 12
    Article
    Avatar of communityCommunity Picks·2y

    5 JavaSript GitHub Repositories for Interview Prep!📝

    A list of JavaScript GitHub repositories for interview preparation and improving core JavaScript fundamentals.

  13. 13
    Article
    Avatar of communityCommunity Picks·2y

    Build Redis from scratch

    This series guides you through building an in-memory database similar to Redis using Go. It focuses on low-level details involving databases, data structures, and algorithms. The project highlights include understanding RESP for command parsing, using goroutines for multiple connections, and implementing data persistence with the Append Only File (AOF) method. Suitable for developers familiar with Go and Redis commands.

  14. 14
    Article
    Avatar of devtoDEV·2y

    Computer Science fundamentals are still important.

    Learning Computer Science fundamentals can boost your career by helping you understand unfamiliar systems quickly, solve challenging problems, and perform better in coding interviews.

  15. 15
    Video
    Avatar of developedbyeddevelopedbyed·1y

    Data Structures and Algorithms Crash Course

    This course introduces the fundamentals of data structures and algorithms with a focus on Big O notation, linear search, and binary search. It provides a step-by-step guide to implementing these algorithms in code and explains their time complexities. The course also touches on constant time operations and compares different approaches to searching arrays.

  16. 16
    Video
    Avatar of vscodeVisual Studio Code·2y

    Visualize data structures and algorithms

    Visualize data structures directly in VS Code using the Debug Visualizer extension. This tool allows you to run the Debug Visualizer New View command, evaluate expressions, and choose visualization methods. You can interact with visuals and observe changes in real-time, making it especially useful for learning data structures or understanding algorithms during debugging sessions.

  17. 17
    Video
    Avatar of youtubeYouTube·2y

    LeetCode was HARD until I Learned these 15 Patterns

    Understanding patterns is more critical than solving numerous problems to excel in competitive coding and coding interviews. This post covers 15 key patterns like prefix sum, two-pointers, sliding window, fast and slow pointers, and dynamic programming among others. These patterns not only make solving problems easier but are commonly tested by major companies like Amazon and Google. Each pattern is explained with examples and related practice problems.

  18. 18
    Article
    Avatar of netguruNetguru·2y

    14 Top Software Developer Skills for 2024: The Complete Guide

    Discover the top software developer skills for 2024, including mastering core programming languages, data structures and algorithms, version control systems, IDE proficiency, database management, SDLC knowledge, cloud computing competency, cybersecurity awareness, soft skills, machine learning and AI fundamentals, CI/CD practices, mobile development skills, DevOps practices, and emerging technologies.

  19. 19
    Article
    Avatar of javarevisitedJavarevisited·2y

    Which Programming Books Would You Buy If you got 100$ to Spend?

    A community discussion on which programming books to buy with a $100 budget, highlighting popular and timeless recommendations like 'Clean Code', 'Effective Java', and 'Algorithm Design Manual'. The post encourages sharing personal choices and provides a rundown of frequently suggested books, including those on algorithms, design patterns, and system design.

  20. 20
    Article
    Avatar of watercoolerWatercooler·2y

    when i try to learn Data structure & algorithm

    Tips and resources for practicing data structures and algorithms.

  21. 21
    Article
    Avatar of communityCommunity Picks·2y

    TheAlgorithms/PHP: All Algorithms implemented in PHP

    The Algorithms - PHP is a library offering a set of algorithms and data structures implemented in PHP, designed to simplify their usage in development projects. Contributions are encouraged, and community support is available via Discord and Gitter.

  22. 22
    Article
    Avatar of java_libhuntAwesome Java Newsletter·2y

    **🌟 Mastering the Java Collections Framework 🌟**

    The Java Collections Framework provides powerful data structures like Lists, Sets, and Maps, which allow for efficient data storage and manipulation. It offers flexibility with different implementations such as `ArrayList`, `HashSet`, and `HashMap`. Key components include ordered lists, unordered sets, and key-value pair maps. Pro tips include choosing the right collection type, ensuring thread safety, and utilizing Java 8+ features like Streams and Lambda expressions.

  23. 23
    Article
    Avatar of communityCommunity Picks·2y

    The Complete [2024] Guide to Data Structures and Algorithms

    Understanding Data Structures and Algorithms (DSA) is crucial for developers and students aiming to excel in software engineering and technical interviews. This guide covers fundamental and advanced DSA concepts, offering practical examples, a structured learning path, and resources for mastering these skills. Core topics include arrays, linked lists, stacks, queues, trees, graphs, and hash tables, along with essential sorting and searching algorithms. Real-world applications and interview preparation tips are also provided, making it a comprehensive resource for mastering DSA.

  24. 24
    Article
    Avatar of planetscalePlanetScale·2y

    B-trees and database indexes

    B-trees and B+ trees are essential for efficient data lookups in database management systems like MySQL, Postgres, and MongoDB. They are structured to store key/value pairs in a way that optimizes search operations. MySQL's InnoDB engine relies heavily on B+ trees, where the choice of primary key significantly impacts performance. B-trees are well-suited for large data volumes that need persistent disk storage, and B+ trees offer advantages like storing all values at the leaf level and having linked lists for faster sequential access. Sequential keys generally improve performance over random or UUID keys.

  25. 25
    Article
    Avatar of communityCommunity Picks·2y

    Power of Redis: A Deep Dive into Caching Systems

    Explore the power of Redis and its caching techniques, including in-memory storage, optimized data structures, and reduced I/O operations. Learn about the various types of caching, the diverse data structures supported by Redis, and the factors to consider when choosing a caching system.

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