Python Dimensions vs Data Structures and Algorithms

"Points are vocabulary. Lines are syntax. Planes are logic. Construct your coding literacy in three dimensions." Whether you are a liberal arts student starting from scratch, a university student preparing for TQC+, or a CS major aiming for CPE, Python Dimensions helps you build a solid programming foundation through systematic practice and strong privacy protection. Designed with a unique "Japanese Stationery" aesthetic, this app combines the warmth of traditional paper-and-ink design with cutting-edge On-Device AI and a built-in Python Compiler, allowing you to immerse yourself in coding anytime, anywhere; your code stays on the device. 【1.3 Update — Bigger Question Bank & More】 • Expanded question bank — 120+ new questions, totaling 400+ curated items across PCEP, TQC+, and CPE. • Onboarding flow — A welcome flow and learning-preference picker. Beginners can get started in seconds. • Accessibility sweep — Full 44pt tap targets, aligned with Apple HIG accessibility guidelines. • Python coder keyboard — A handy standalone keyboard for typing Python symbols (indent, quotes, operators) in any app. 【1.2 New — iPad Three-Column Playground】 • Three-Column Playground — Sidebar instantly switches between Templates / Cheatsheet / History; editor top-right, output bottom-right. Built for large screens. • Full Keyboard Shortcuts — ⌘N new, ⌘R run, ⌘S save to history, ⌘E export .py, ⌘L clear output, ⌘K open snippets. Pair with a physical keyboard for max productivity. • Smart History — Every successful run auto-saves to a 20-entry LRU history; no more Cmd+Z hunting. • Native iPad Support — Optimised for portrait and landscape, also great on Apple Silicon Mac. 【Key Features】 3-Dimensional Training: Master Python Step-by-Step Point (MCQ): Master fundamentals and vocabulary through multiple-choice questions. Line (Cloze): Strengthen syntax structure by filling in key code segments. Plane (Parsons): Train algorithmic logic by rearranging code blocks. Your Personal On-Device AI Tutor Powered by advanced Local LLMs and RAG technology. The AI analyzes your mistakes to provide personalized hints and detailed explanations, guiding you to the solution without privacy risks. Private by Default: Your AI chats, code, and learning data stay on your device. None of your content is ever sent to the cloud. Portable Python Playground Write and run code instantly with the built-in Python 3.13 runtime. Includes 10 practical code templates and AI-powered code generation to bridge the gap between theory and practice. Smart Review & Analytics Dashboard Automatically tracks incorrect answers and visualizes weaknesses using Radar Charts and Knowledge Heatmaps across 8 dimensions. Tailored for Certification Exams Over 400 curated questions covering PCEP, TQC+, and CPE certifications. Boost exam prep with "Concept Cards" and a "Keyword Dictionary". 【Support & Customization】 Adaptive Difficulty: Switch between "Easy Mode" and "Normal Mode" to match your learning pace. AI Model Manager: Choose from a range of on-device AI models, including Vision-Language Models for image analysis, optimized for your device. ----- cross-promo (auto-generated; do not edit) ----- More from the developer: English N+1 · Kana Juku · Auditory Companion · Gantt Planet — Search «ChengChe Lee» on the App Store.

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