Expo & React Native components vs Algorithms

React Native Components & APIs is two things in one app: a catalog of runnable library demos, and a full React Native learning library. All of it works offline. 50 RUNNABLE LIBRARY EXPLORERS Open a library, run its demos, and read the exact source that produced the screen in front of you: • Frameworks & platform — React Native core (RNTester), Expo Components, TanStack Query, TinyBase, Zustand, Legend-State • UI kits & design systems — React Native Paper, Tamagui, HeroUI Native, Gluestack UI, NativeWindUI, Enriched Markdown, Enriched HTML, Bottom Sheet • Graphics & motion — Skia, Reanimated, Lottie, Victory Native XL, Gifted Charts, Mesh Gradient, Glass Effect • Lists, forms & data — FlashList, LegendList, React Hook Form, Formik, SQLite • Native integrations — VisionCamera, Maps, Notifee, Audio API, Gesture Handler, Haptics, Live Photo, Notifications, Action Sheet READ THE SOURCE, NOT A DOC SITE Every demo ships with a built-in source viewer. Tap the code icon on any screen to read the actual TypeScript behind it, switch between files, and copy what you need into your own project. The version shown next to each library is the version the app is genuinely built against. A CURRICULUM, NOT A LINK DUMP 520 lessons across 22 tracks: JavaScript and TypeScript foundations, React 19, the New Architecture, navigation, performance, native modules, testing, security, release engineering, architecture patterns, and building with AI. Every code sample is compiled against the installed React Native 0.86, React 19.2 and Expo 57 — if a sample would not build, the app would not have shipped. INTERVIEW PREPARATION THAT GOES DEEPER THAN A LIST 666 questions with short answers, full explanations, and 1,317 follow-up questions — the ones an interviewer actually asks next, graded across beginner, intermediate and advanced. PRACTICE, NOT JUST READING • Spaced repetition across 430 flashcards and your interview questions, on one schedule — rate how well you recalled it and the card comes back when it should • 36 quizzes, 540 questions, with an explanation behind every answer • 17 cheat sheets, 5 release-day checklists, 11 decision guides and 40 code challenges • A 337-term glossary that appears inline as you read — tap any term without losing your place • Search across lessons, terms, questions, cheat sheets, checklists and quizzes at once EVERYTHING IS OFFLINE The whole library ships inside the app. No account, no sign-in, no network required — on a plane, on the underground, or in a waiting room before the interview. ONE PURCHASE, NO SUBSCRIPTION Every library demo and its source code is free. The learning library opens the first share of every section for free, and a single one-time purchase — pick whatever tier feels fair, from a cup of coffee upward — unlocks every lesson and interview question for good and removes ads. No subscription, nothing expires. WHO IT IS FOR • React Native developers evaluating a library before adding a dependency • Engineers preparing for a mobile interview • Anyone learning React Native who would rather run code than read about it Feedback is genuinely welcome — there is a Send Feedback link in the More tab.

Did you pass the interview algorithm question? Learning algorithm questions takes too much time? Not your problem! Before this, no algorithmic learning method could be so simple and efficient. It only takes three steps to become an algorithm master: The first step is to read the question; The second step is to play the animation, refer to the subtitles, and understand the ideas and codes; The third step is to read, analyze and summarize; Why do you make an algorithm animation diagram app? Like many programmers, I have to prepare a lot of time to brush up the algorithm every time I change jobs. Very good, in the process of brushing the questions, you must first read the solution. I also read a lot of problem solutions from big guys on the Internet, and I especially like to read algorithm analysis with moving pictures or schematic diagrams, which is faster than reading text. In the process, several problems were also found, such as: the animation is not interactive and cannot be paused; the data is dead and cannot be changed; it is not convenient to study on the mobile phone, etc. I saw some good animations at the beginning, and I had a strong urge to implement them in the app with native code several times. This time I finally made up my mind and made 70 animations in one go. I understand that the positioning of this app is a tool that can help us quickly understand algorithm ideas and codes, help memory, and improve learning efficiency. But here you can't submit, you can't execute the code, and the code still needs to be typed on the computer to make it feel better. Why is it not arranged in the order of the leetcode number? At present, the algorithm questions are classified into three major blocks: - linked list, string, array, binary tree; - Backtracking, greedy, dynamic programming, divide and conquer; - Sort and classify separately. Under each category, the difficulty is divided into easy, medium and hard. First classify data structures and algorithms separately, and learn according to knowledge points. For example, you can concentrate on learning binary tree structures or dynamic programming algorithms, so that concentrated saturation training can help improve learning efficiency. The data structure comes first, and the algorithm follows, which is also arranged in the order in which we learn theoretical knowledge. In terms of algorithms, four types are currently arranged: backtracking, greedy, dynamic programming, and divide-and-conquer. When I learned data structures and algorithms many years ago, I first came into contact with various sorting algorithms. At that time, I felt that sorting was too difficult, and I was very impressed, so I made a separate sorting classification for beginners. Thinking on how to combine animation and code and other interactive issues - In the process of learning algorithms by myself, I often understand the ideas, but I can't understand the codes, and many codes in the text explanations have no comments. Seeing this is a big headache. Therefore, when thinking about App interaction, the code highlighting function is specially designed, which means that each line of code will be highlighted as the animation progresses. In this way, the animation is executing, the code is highlighted, and it looks cool. - Although the animation is easy to understand, it still needs some short explanations, so the "subtitle" function is designed below the animation. Every time the corresponding step is executed, the corresponding explanation will be displayed. - Animation playback and reset, each algorithm page has a playback function, so how to prepare test cases? To simplify the concept of test cases, a "reset" button is designed, which means that the test cases are random. When you want to change a set of data, just click reset.