Python Dimensions vs Pylearn2

"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.

PyLearn2 は、スマホやタブレットの中だけで「本物のPython」を動かして学べる学習アプリです。 インターネット接続もサーバーも必要ありません。すべての処理が端末内で完結します。 ■ こんな人に ・はじめてプログラミングを学ぶ人 ・お子さまのプログラミング学習に ・すきま時間にPythonを練習したい人 ・オフラインでコードを書いて試したい人 ■ 特長 ・端末内で完結する本物のPython(CPython 3.12 / WebAssembly版 Pyodide を同梱) ・全13章・59レッスンの体系的なカリキュラム ・各レッスンに「何を学ぶか」の解説つき ・サンプルコードはその場で自由に書きかえて実行できる ・実行結果・エラー(トレースバック)をわかりやすく表示 ・matplotlib による折れ線・棒グラフ・ヒストグラムの描画に対応 ・numpy を使った数値計算・データ分析も体験できる ・input() による対話的な入力にも対応 ・広告なし・アカウント登録なし・個人情報の収集なし ■ カリキュラム(全13章) 1. はじめの一歩(print・変数・計算・入力・型) 2. 文字列(f文字列・メソッド・スライス) 3. 条件分岐(if / elif / else・論理演算・FizzBuzz) 4. くり返し(for・while・break / continue・二重ループ) 5. リスト(操作・スライス・便利な関数) 6. 辞書・タプル・集合 7. 関数(引数・戻り値・スコープ・lambda) 8. 便利な書き方(内包表記・enumerate・zip・書式) 9. エラーと例外(try / except) 10. クラス(オブジェクト指向・継承) 11. 標準ライブラリ(random・math・datetime) 12. データと可視化(numpy・matplotlib) 13. ミニプロジェクト(数当て・じゃんけん・電卓・素数・九九・フィボナッチ) はじめてでも、解説を読み、コードを動かし、結果を見る——この繰り返しで、 自然とPythonの基礎が身につきます。まずはレッスン1から「▶ 実行」してみましょう。