leetcode.com/ds
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LeetCode's Data Structures (DS) hub offers topic-based practice and explanations for core data structures, including arrays, linked lists, stacks and queues, trees, graphs, heaps, and hash tables. It provides hands-on coding problems and tutorials to help you learn and master data structures.
More resources on Data Structures
Data Structures
A good algorithm usually comes together with a set of good data structures that allow the algorithm to manipulate the data efficiently. In this online course, we consider the common data structures that are used in various computational problems. You will learn how these data structures are implemented in different programming languages and will practice implementing them in our programming assignments. This will help you to understand what is going on inside a particular built-in implementation of a data structure and what to expect from it. You will also learn typical use cases for these data structures. A few examples of questions that we are going to cover in this class are the following: 1. What is a good strategy of resizing a dynamic array? 2. How priority queues are implemented in C++, Java, and Python? 3. How to implement a hash table so that the amortized running time of all operations is O(1) on average? 4. What are good strategies to keep a binary tree balanced? You will also learn how services like Dropbox manage to upload some large files instantly and to save a lot of storage space!
datastructures.org
datastructures.org is a learning hub that explains core data structures with clear tutorials, visualizations, and practical code examples. You’ll find coverage of arrays, linked lists, stacks, queues, trees, graphs, hash tables, and related algorithms along with operations and time/space complexity.
Algorithms
Algorithms - A book resource
visualgo.net
Visualgo.net offers interactive, animated visualizations of data structures and algorithms to help learners understand how they work. It covers core topics such as arrays, linked lists, stacks, queues, trees, graphs, heaps, sorting, and graph/algorithm demonstrations with explanations.