The response system is a significant feature of Vue. Modifying properties can update the view, which makes state management very simple and intuitive.
When creating a Vue instance, Vue will traverse the properties of data and convert them into getters/setters through ES5's Object.defineProperty. Internally, Vue can track dependencies and notify changes.
const vm = new Vue({ data: {foo: 1} // 'vm.foo' (在内部,同 'this.foo') 是响应的 })
Observe property changes
Instances of Vue provide the $watch method for observing property changes.
const vm = new Vue({ data: {foo: 1} }) vm.$watch('foo', function (newValue, oldValue) { console.log(newValue, oldValue) // 输出 2 1 console.log(this.foo) // 输出 2 }) vm.foo = 2
When the property changes, the response function will be called, and internally, this is automatically bound to the Vue instance vm.
It should be noted that the response is asynchronous. As follows:
const vm = new Vue({ data: {foo: 1} }) vm.$watch('foo', function (newValue, oldValue) { console.log('inner:', newValue) // 后输出 "inner" 2 }) vm.foo = 2 console.log('outer:', vm.foo) // 先输出 "outer" 2
realizes the binding of data and views through $watch Vue. When data changes are observed, Vue updates the DOM asynchronously. Within the same event loop, multiple data changes will be cached. In the next event loop, Vue refreshes the queue and only performs necessary updates. As follows:
const vm = new Vue({ data: {foo: 1} }) vm.$watch('foo', function (newValue, oldValue) { console.log('inner:', newValue) // 后只输出一次 "inner" 5 }) vm.foo = 2 vm.foo = 3 vm.foo = 4 console.log('outer:', vm.foo) // 先输出 "outer" 4 vm.foo = 5
Computed properties
MV* In displaying Model layer data to View, there is often complex data processing logic. In this case, it is more sensible to use computed properties.
const vm = new Vue({ data: { width: 0, height: 0, }, computed: { area () { let output = '' if (this.width > 0 && this.height > 0) { const area = this.width * this.height output = area.toFixed(2) + 'm²' } return output } } }) vm.width = 2.34 vm.height = 5.67 console.log(vm.area) // 输出 "13.27m²"
Inside a computed property, this is automatically bound to vm, so you need to avoid using arrow functions when declaring computed properties.
In the above example, vm.width and vm.height are responsive. When vm.area reads this.width and this.height for the first time, Vue collects them as dependencies of vm.area. After that, vm.width or vm. When height changes, vm.area is re-evaluated.
Computed properties are based on its dependency cache. If vm.width and vm.height do not change, reading vm.area multiple times will immediately return the previous calculation results without having to evaluate again.
Similarly because vm.width and vm.height are responsive, you can assign dependent properties to a variable in vm.area and read the variables to reduce the number of times you read properties. At the same time, in conditional branches, Vue sometimes Unable to collect dependencies.
The new implementation is as follows:
const vm = new Vue({ data: { width: 0, height: 0, }, computed: { area () { let output = '' const {width, height} = this if (width > 0 && height > 0) { const area = width * height output = area.toFixed(2) + 'm²' } return output } } }) vm.width = 2.34 vm.height = 5.67 console.log(vm.area) // 输出 "13.27m²"
Use Vue’s attribute observation module alone through ob.js
To facilitate learning and use, ob.js extracts and encapsulates the attribute observation module in Vue.
Install
npm install --save ob.js
Observe property changes
const target = {a: 1} ob(target, 'a', function (newValue, oldValue) { console.log(newValue, oldValue) // 3 1 }) target.a = 3
Add computed properties
const target = {a: 1} ob.compute(target, 'b', function () { return this.a * 2 }) target.a = 10 console.log(target.b) // 20
Pass in the parameter set just like declaring a Vue instance
const options = { data: { PI: Math.PI, radius: 1, }, computed: { 'area': function () { return this.PI * this.square(this.radius) }, }, watchers: { 'area': function (newValue, oldValue) { console.log(newValue) // 28.274333882308138 }, }, methods: { square (num) { return num * num }, }, } const target = ob.react(options) target.radius = 3

JavaScript runs in browsers and Node.js environments and relies on the JavaScript engine to parse and execute code. 1) Generate abstract syntax tree (AST) in the parsing stage; 2) convert AST into bytecode or machine code in the compilation stage; 3) execute the compiled code in the execution stage.

The future trends of Python and JavaScript include: 1. Python will consolidate its position in the fields of scientific computing and AI, 2. JavaScript will promote the development of web technology, 3. Cross-platform development will become a hot topic, and 4. Performance optimization will be the focus. Both will continue to expand application scenarios in their respective fields and make more breakthroughs in performance.

Both Python and JavaScript's choices in development environments are important. 1) Python's development environment includes PyCharm, JupyterNotebook and Anaconda, which are suitable for data science and rapid prototyping. 2) The development environment of JavaScript includes Node.js, VSCode and Webpack, which are suitable for front-end and back-end development. Choosing the right tools according to project needs can improve development efficiency and project success rate.

Yes, the engine core of JavaScript is written in C. 1) The C language provides efficient performance and underlying control, which is suitable for the development of JavaScript engine. 2) Taking the V8 engine as an example, its core is written in C, combining the efficiency and object-oriented characteristics of C. 3) The working principle of the JavaScript engine includes parsing, compiling and execution, and the C language plays a key role in these processes.

JavaScript is at the heart of modern websites because it enhances the interactivity and dynamicity of web pages. 1) It allows to change content without refreshing the page, 2) manipulate web pages through DOMAPI, 3) support complex interactive effects such as animation and drag-and-drop, 4) optimize performance and best practices to improve user experience.

C and JavaScript achieve interoperability through WebAssembly. 1) C code is compiled into WebAssembly module and introduced into JavaScript environment to enhance computing power. 2) In game development, C handles physics engines and graphics rendering, and JavaScript is responsible for game logic and user interface.

JavaScript is widely used in websites, mobile applications, desktop applications and server-side programming. 1) In website development, JavaScript operates DOM together with HTML and CSS to achieve dynamic effects and supports frameworks such as jQuery and React. 2) Through ReactNative and Ionic, JavaScript is used to develop cross-platform mobile applications. 3) The Electron framework enables JavaScript to build desktop applications. 4) Node.js allows JavaScript to run on the server side and supports high concurrent requests.

Python is more suitable for data science and automation, while JavaScript is more suitable for front-end and full-stack development. 1. Python performs well in data science and machine learning, using libraries such as NumPy and Pandas for data processing and modeling. 2. Python is concise and efficient in automation and scripting. 3. JavaScript is indispensable in front-end development and is used to build dynamic web pages and single-page applications. 4. JavaScript plays a role in back-end development through Node.js and supports full-stack development.


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