Data Structures Basics vs Data Structures and Algorithms

Data Structures Basics is an independent practice app for learners who want to build confidence with core computer science concepts before class, interviews, exams, or project work. Work through 160 questions across Fundamentals, Practical Skills, Common Pitfalls, and Advanced Concepts. Every question includes an explanation, so you can understand why an answer works instead of only memorizing it. Features: - FSRS spaced-repetition intervals for smarter review - Weak-point heatmap to spot topics that need attention - Daily challenge for consistent practice - Mock exams for timed review sessions - Offline practice for studying anywhere - No login required Use it to review arrays, linked lists, stacks, queues, trees, graphs, hashing, sorting, complexity, and common implementation mistakes. Independent study app for Data Structures Basics practice. Not affiliated with, endorsed by, or sponsored by any company, certification body, exam operator, or vendor. All trademarks belong to their respective owners. Practice offline, no login required.

DSA is a visual learning app for computer science students, exam prep, and self-learners. Turn abstract data structure concepts into step-by-step animations so you can actually see how algorithms work. WHY DSA • Dual-mode learning: read concept lessons first, then run interactive step-by-step visualizers • Smooth animations: pointer moves, swaps, assignments, and tree restructuring are animated with clear step descriptions • Structured curriculum: organized by textbook chapters from fundamentals to advanced topics • Full playback control: previous/next step, auto-play, speed adjustment, and scrubbing • Multilingual: Simplified Chinese, English, and more COURSE CONTENT Ch. 1 Introduction Asymptotic notation, simplification rules, time & space complexity with examples Ch. 2 Linear Lists, Stacks & Queues Linear lists, stack operations & applications, queue operations & circular queues Ch. 3 Arrays & Matrices Array basics, special matrix compression Ch. 4 Strings BF, KMP, BM string matching, algorithm complexity comparison Ch. 5 Trees Tree basics, binary tree properties & traversals BST, AVL, Splay, B-tree, Red-Black Tree, B+ Tree, Huffman Tree, Union-Find Ch. 6 Graphs Graph basics, storage structures, traversal Minimum spanning tree, shortest paths, topological sort & critical path Ch. 7 Sorting Bubble, Selection, Insertion, Shell, Merge, Quick, Heap Sort Counting, Bucket, Radix Sort Winner Tree, Loser Tree, complexity comparison WHO IT'S FOR • CS / Data Structures students • Exam prep and interview review • Self-learners building a solid DSA foundation FULL UNLOCK One-time purchase unlocks all content. No subscription. No ads. Restore purchases supported. Feedback: Settings → Email Feedback