#data structures

The repository presents a curated selection of authoritative books on computer science and technology, including subjects like foundational principles, programming languages, software engineering, mathematics, big data, and AI. Designed for continuous study advancement, it ensures up-to-date editions and a thorough learning path. Recommended classics provide depth across software-related domains. Access is facilitated via platforms such as Z-Library, as direct downloads are not provided.

Explore a vast repository of JavaScript implementations for well-known algorithms and data structures, from basic to advanced levels. The collection covers topics such as linked lists, graphs, sorting, and dynamic programming, each accompanied by in-depth explanations and additional resources. This makes it an essential reference for learners and enthusiasts interested in deepening their skills in computational problem-solving.

Discover a diverse range of programming challenges in this repository, curated to enhance programming capabilities with Kotlin. These challenges are structured to cultivate strong problem-solving skills, aiding preparation for critical whiteboard interviews. Each challenge presents a task overview, test methods, and multiple solution approaches, fostering comprehension of algorithms and Big O notation for efficiency evaluation. Begin with elementary tasks such as string reversal and gradually progress to complex problems covering data structures and sorting algorithms. Integrated with IntelliJ IDEA, it streamlines hands-on coding practice and proficiency development.

The GitHub repository leetcode-patterns helps improve problem-solving skills for software engineering interviews by providing categorized question patterns. Questions are grouped by familiar patterns, focusing on data structures such as arrays, graphs, and stacks, and algorithms like DFS and BFS, enhancing understanding. Detailed solutions in Java and a comprehensive question list are available online. The platform encourages contributions and suggestions to enhance the resource further.

Redis is a versatile in-memory data structures server supporting formats like Lists and Sets. It offers persistence through disk storage with fast memory operations, ensuring data stability. Redis includes database-like features such as replication and clustering. Its client-server model allows shared data modifications. Redis Community Edition supports multiple platforms and integrates with major cloud services, offering both community and enterprise options.

Custom Dump improves understanding of Swift data structures by providing debugging tools that surpass the standard 'dump' output. Key features include 'customDump' for better data visualization, 'diff' for comparing values, and utilities for asserting changes or consistency in complex data. It offers customization protocols for specific data representation needs, enhancing Swift development, testing, and debugging workflows.