Best of Interview Questions — October 2024

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    Article
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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
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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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    Article
    Avatar of asayerasayer·2y

    Mastering Technical Interviews: Strategies for Landing your Dream Job

    In the highly competitive job market of today, acing technical interviews is crucial for landing your dream front-end development job. This post covers the importance of mastering fundamentals, common interview questions, and types of technical assessments such as live coding, take-home assignments, whiteboard challenges, and pair programming. It also provides preparation tips, portfolio showcasing techniques, and insights on salary negotiations to ensure you present yourself in the best light and get compensated fairly for your skills. Key resources and platforms for further learning and networking are also recommended.

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    How to Code/Problem Solve like a GENIUS

    Achieving success in big Tech requires strong problem-solving skills. Train your brain using the fast and slow brain method: engage your slow brain to learn patterns which your fast brain can later recognize. Use the rubber duck technique by explaining code line-by-line to catch bugs and improve understanding. Initiate problem-solving sessions with a 10-minute primer to enhance focus, and tackle complex problems with the lighthouse method by solving smaller, related subproblems first.

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    Article
    Avatar of javarevisitedJavarevisited·2y

    THIS COULD be your Ultimate Back-end Developer Roadmap

    Discusses the critical skills required to be a successful backend developer, emphasizing the importance of mastering tools and concepts such as DSA, API design, secure coding, microservices, and more. It introduces a YouTube series designed to help with backend developer interview preparation, specifically focusing on Java, but applicable to various programming languages.

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    Article
    Avatar of mlmMachine Learning Mastery·2y

    A Roadmap for Your Machine Learning Career

    Looking to make a career in machine learning? This guide offers a structured approach, starting with basics such as scikit-learn and advancing to frameworks like TensorFlow or PyTorch. It emphasizes solving real-world problems, learning software engineering skills, and understanding model deployment. Key steps include version control, clean code, CI/CD pipelines, and cloud deployment. A robust portfolio showcasing diverse ML projects and preparation for various interview phases will further bolster your journey. Continuous learning and networking are vital for long-term success in this dynamic field.

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