Leaflet for Swift&Algorithm vs Algorithms

Leaflet helps you learn Swift/SwiftUI and Data Structure/Algorithms better. Leaflet has four main functions: 【1】Algorithm Animation Visualization Through exquisite and intuitive animation demos, abstract algorithms and data structures are made visual — every step of execution is clearly visible. This is the core highlight of Leaflet. - Animation Demos: Carefully selected classic algorithms (sorting, searching, graph algorithms, dynamic programming, recursion, etc.) built with SwiftUI + Combine for smooth animations that make algorithm execution crystal clear. - Interactive Playback: Support play, pause, step forward / step backward, and adjustable playback speed — control your learning pace freely. - Data Structure Visualization: Arrays, linked lists, stacks, queues, trees, graphs and other data structures are presented graphically; insert, delete, and traverse operations are intuitive at a glance. - Synchronized Code View: Animation demos are displayed alongside the corresponding Swift source code, letting you learn code while watching the animation — more efficient learning. - Complexity Analysis: Visually shows the time / space complexity trends of algorithms, helping you build performance-analysis thinking. Learning algorithms is no longer dry code reading, but a vivid visual experience — every algorithm becomes something you can "see and touch". 【2】Swift Tutorial - Swift one-hour micro class, quickly master the core knowledge points of Swift grammar - Swift5 complete tutorial covering all language features from beginner to advanced - Swift Code Style Guide for writing more standardized code - Swift design pattern practice 【3】Swift + SwiftUI + Combine SwiftUI's declarative UI paired with Combine's functional reactive framework — simple to learn, high-performance, and reliable, enabling developers to quickly build elegant applications. 【4】Algorithm Solutions Curated representative algorithm problems implemented in Swift, covering data structures and algorithm analysis to help you master algorithm complexity and performance analysis. Part of the application is based on the open source protocol from the following open source libraries, Gratitude: https://github.com/raywenderlich/swift-algorithm-club , Algorithms and data structures in Swift, with explanations! https://github.com/andyRon/swift-algorithm-club-cn, swift-algorithm-club's translation. Learn algorithms and data structures using Swift.

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.