Best of Algorithms — October 2024

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    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.

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    Article
    Avatar of bytebytegoByteByteGo·2y

    EP132: Big O Notation 101: The Secret to Writing Efficient Algorithms

    Understanding Big O Notation is essential for building efficient algorithms, ranging from constant time operations (O(1)) to factorial complexities (O(n!)). Common forms include linear (O(n)), quadratic (O(n^2)), and logarithmic (O(log n)) notations, each with distinct performance implications. The post also covers key aspects of Domain-Driven Design and NoSQL database use cases.

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    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.

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    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.

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    Avatar of communityCommunity Picks·2y

    A Valve engineer used ChatGPT to find a new matchmaking algorithm for Deadlock, and now it's in the game

    A Valve engineer, Fletcher Dunn, successfully used ChatGPT to identify a new matchmaking algorithm for the game Deadlock. He highlights how generative AI tools like ChatGPT can act as powerful search engines, simplifying the search process even with vague descriptions. Dunn believes that although AI technology might face challenges, it currently offers significant time efficiency and innovative solutions in game development.

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    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.

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    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.

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    Video
    Avatar of teluskoTelusko·2y

    Data Structures and Algorithms (DSA) in Java 2024

    Data structures are essential for efficiently organizing and storing data to improve application performance and memory usage. They allow programmers to process data quickly and optimally, important in industries like e-commerce and banking. Understanding when to use different data structures (arrays, sets, linked lists, trees, graphs) is crucial, as is knowing how to implement efficient algorithms. Companies emphasize data structures and algorithms (DSA) as they help in reducing costs and improving user experience. Linear search and binary search are discussed to illustrate different algorithm efficiencies.

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    Avatar of communityCommunity Picks·2y

    This Is How Recursion Should Be Taught To Software Developers

    Recursion is often introduced to programmers through mathematical examples like Fibonacci and Factorial functions. These examples are elegant but may not be the most practical for real-world use. Converting recursive functions to iterative ones can often result in more performance-efficient solutions while still being readable. The true value of recursion lies in its ability to simplify complex algorithms, making them more understandable for developers. The focus should shift from theoretical examples to practical, real-life applications of recursion in programming.

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    Article
    Avatar of medium_jsMedium·2y

    Understanding Support Vector Machines: The Key to Powerful Classification

    Support Vector Machines (SVM) are a powerful classification tool in machine learning that aims to find the optimal decision boundary (hyperplane) to separate two classes of data while maximizing the margin between them. It handles both linearly and non-linearly separable data, using support vectors to determine the hyperplane's position and the kernel trick to transform data into higher dimensions for better separation. SVM is highly versatile, adaptable to real-world messy data with overlapping classes by introducing a soft margin.

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    Video
    Avatar of youtubeYouTube·2y

    4 Steps To Solve Dynamic Programming Problems

    Learn the 4 essential steps to solve dynamic programming problems effectively: start with recursive backtracking, then use top-down dynamic programming with memoization, followed by bottom-up dynamic programming with tabulation, and finally optimize with bottom-up dynamic programming using only current call information.

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    Article
    Avatar of watercoolerWatercooler·2y

    Pair Programming

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    Article
    Avatar of collectionsCollections·2y

    Master Data Structures & Algorithms with Comprehensive Free Resource and Bootcamp

    Understanding data structures and algorithms is crucial for excelling in coding interviews and improving problem-solving skills. This guide highlights a free online platform with 150 categorized questions and step-by-step video solutions, and a specialized bootcamp offering a structured learning approach with lifetime access. Both resources aim to provide comprehensive preparation for coding interviews and practical application of concepts.

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