Traditional events and modern events in javascript_javascript skills
Everyone knows that modern event binding (attachEvent) in IE has many problems compared with the W3C standard (addEventListener),
For example: memory leaks, flashback execution when events are repeatedly added and triggered, etc.
The following is a traditional event method used to handle the binding of encapsulated events:
addEvent.ID = 1; // 事件计数器 function addEvent(obj, type, fn){ if(obj.addEventListener){ obj.addEventListener(type, fn, false); } else { // IE // 判断对象是否存在,保证只有一个对象,否则每执行一次,会创建一个事件对象 // 以键值对的形式储存类型与函数的一个数组,=======将事件对象数组挂载到obj对象是为 了方便事件的删除 if( !obj.events){ // 相当于结构为:obj.events : {click:[fn1,fn2], mouserover:[fn1], ...} obj.events = {}; } var flag = false; // 存储事件对象 if( !obj.events[type]){ // 类型数据储存挨个函数 obj.events[type] = []; // 该类型的第一次事件类型及函数储存到该类型数组中的第一位 obj.events[type][0] = fn; } else { var eventfn = obj.events[type]; // 循环遍历该类型对象查询该事件是否重复,如果重复flag为true,并return返回 for(var i in eventfn){ if(eventfn[i] == fn ){ flag = true; return; } } // 判断该事件是否重复,重复的话就不进行事件的函数的存储,否则储存该事件并执行 if( !flag ){ // 当该类型已经存在了,将为该事件进行累计时间类型函数存储,最后循环执行 eventfn[addEvent.ID++] = fn; } } // 事件函数 类型数组 函数遍历调用 obj["on"+type] = function(){ var event = window.event; // 事件对象的储存 // 在事件对象后添加函数,当执行的时候调用,并阻止默认行为的发生,与W3C标准同步 event.preventDefault = function(){ this.returnValue = false; }; // 在事件对象后面添加函数,一个尾巴函数,停止冒泡。 event.stopPropagation = function(){ this.cancelBubble = true; }; // 循环遍历执行类型储存的多个函数 var evfn = obj.events[type]; for(var i in evfn){ // 顺序执行该类型的事件函数,解决了传统事件的覆盖问题和现代事件绑定的逆序触发 事件的问题 evfn[i].call(this, event); // 将执行函数放置在该对象的环境下执行,并传递一个事件对 象给函数回调使用 } } } } function removeEvent(obj, type, fn){ if(obj.removeEventListener){ obj.removeEventListener(type, fn, false); } else { // 循环遍历该对象下该类型的事件函数是否函数该函数,如果有就将该事件函数删除 var evefn = obj.events[type]; for(var i in evefn){ if(evefn[i] == fn){ // delete evefn[i]; 该方法也可以删除该数组的该项,但是会保留该位置当访问的时候值 为undefined evefn.splice( i, 1); // 从第i的位置删除1位, } } } }
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The main difference between Python and JavaScript is the type system and application scenarios. 1. Python uses dynamic types, suitable for scientific computing and data analysis. 2. JavaScript adopts weak types and is widely used in front-end and full-stack development. The two have their own advantages in asynchronous programming and performance optimization, and should be decided according to project requirements when choosing.

Whether to choose Python or JavaScript depends on the project type: 1) Choose Python for data science and automation tasks; 2) Choose JavaScript for front-end and full-stack development. Python is favored for its powerful library in data processing and automation, while JavaScript is indispensable for its advantages in web interaction and full-stack development.

Python and JavaScript each have their own advantages, and the choice depends on project needs and personal preferences. 1. Python is easy to learn, with concise syntax, suitable for data science and back-end development, but has a slow execution speed. 2. JavaScript is everywhere in front-end development and has strong asynchronous programming capabilities. Node.js makes it suitable for full-stack development, but the syntax may be complex and error-prone.

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JavaScript can be used for front-end and back-end development. The front-end enhances the user experience through DOM operations, and the back-end handles server tasks through Node.js. 1. Front-end example: Change the content of the web page text. 2. Backend example: Create a Node.js server.

Choosing Python or JavaScript should be based on career development, learning curve and ecosystem: 1) Career development: Python is suitable for data science and back-end development, while JavaScript is suitable for front-end and full-stack development. 2) Learning curve: Python syntax is concise and suitable for beginners; JavaScript syntax is flexible. 3) Ecosystem: Python has rich scientific computing libraries, and JavaScript has a powerful front-end framework.

The power of the JavaScript framework lies in simplifying development, improving user experience and application performance. When choosing a framework, consider: 1. Project size and complexity, 2. Team experience, 3. Ecosystem and community support.

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