Apr 28, 2025 · Study guides for coding interviews with focus on data structures and algorithms, including practice questions, techniques, time complexity and recommended resources

Apr 24, 2025 · This SDE sheet is a comprehensive guide to mastering Data Structures and Algorithms, specifically designed for Software Development Engineering (SDE) interviews. It helps structure your preparation, covering essential topics and providing key problems to practice for technical interviews

Familiarize yourself with common data structures and algorithms such as lists, trees, maps, graphs, Big-O analysis, and more!

Learn about Data Structures and Algorithms using this roadmap. Community driven, articles, resources, guides, interview questions, quizzes for modern backend development.

Learn how to compare the efficiency of different approaches to a problem. Build the main data structures from the ground up. Learn when to use an array vs. a linked list vs. a hash map. Logarithms come up a lot in algorithms. Review how they …

Illustrated study guide ideal for visual learners who want to brush up on core CS skills. Topics: arrays/strings, queues/stacks, hash tables, graphs, trees, sorting and search.

Their new study guide: Super Study Guide: Algorithms and Data Structures is broken down into 4 major sections: Each section goes into further depth on each area. The foundation's chapter goes through Algorithmic concepts, Mathematical concepts, and Classic problems.

This textbook serves as a gentle introduction for undergraduates to theoretical concepts in data structures and algorithms in computer science while providing coverage of practical implementation (coding) issues.

Beginner's Guide to Data Structures and Algorithms. These tutorials will provide you with a solid foundation in Data Structures and Algorithms and prepare you for your career goals.

Nov 24, 2024 · A concise, illustrated guide to algorithms and data structures, perfect for coding interviews, classes, or self-study. Covers key concepts, from fundamentals to graphs, trees, sorting, and search techniques.