Best of Algorithms — April 2025

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   Article

   Javarevisited·1y

   8 Best Data Structures and Algorithms Books for Software Engineers and Developers

   Data structures and algorithms are fundamental to solving programming problems, and mastering them is crucial for any programmer. This post lists eight top-rated books that provide comprehensive, practical, and engaging methods to learn these crucial concepts. The books include illustrated guides, detailed examples, interview preparation material, and are paired with relevant online courses to enhance the learning experience for both beginners and experienced programmers.

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   Article

   Javarevisited·1y

   Master Coding Interview Preparation in 2025 with These 15 Patterns

   Preparing for coding interviews in 2025 is made easier by mastering 15 key coding patterns. These patterns streamline the problem-solving process, helping you tackle various interview challenges efficiently. They include techniques like Two Pointers, Sliding Window, and Dynamic Programming. Rather than spending time on countless LeetCode problems, focusing on these patterns can optimize your preparation and increase your chances of success.

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   Article

   Community Picks·1y

   The Ultimate Strategy to Solve Any Coding Problem

   This comprehensive guide provides a step-by-step strategy for effectively solving any coding problem. Key steps include understanding the problem thoroughly, breaking it down into inputs, outputs, and requirements, designing an approach with both brute force and optimization techniques, writing a plan before coding, implementing a clean and modular solution, testing with diverse cases, and continuously optimizing and practicing problem-solving skills.

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   Article

   Ramp Engineering·1y

   Rate limiting with Redis

   Rate limiting is crucial in managing API usage and prevents overloading systems. Different rate limiting algorithms such as fixed-window, sliding window, leaky bucket, and GCRA offer various benefits and pitfalls. Ramp chose the GCRA algorithm for its efficiency and ease of implementation with Redis, tailoring it to handle multiple use cases. They continue to expand its application and monitor its performance.

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   Video

   3Blue1Brown·1y

   But what is Quantum Computing? (Grover's Algorithm)

   Quantum computing is often misunderstood due to oversimplified summaries. Unlike classical computing, which uses bits as ones and zeros, quantum computing involves superposition, allowing representation of all possible bit sequences. Grover's algorithm exemplifies a square root speedup for NP problems, where solutions are verifiable but initially hard to find. It optimally solves problems by manipulating state vectors within a two-dimensional slice using geometric transformations. This algorithm doesn’t offer exponential speedup like Shor’s algorithm but provides a generalized method for tackling NP problems efficiently.

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   Article

   Lobsters·1y

   Fast(er) binary search in Rust

   Binary search is a fast algorithm but suffers from predictability issues on modern CPUs. This post explores the Eytzinger layout to improve memory access predictability and introduces a branchless version of the Eytzinger binary search. It also discusses the benefits of using software memory prefetching to further enhance performance.

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