Javascript Study Notes - Objects (3): hasOwnProperty_Basic Knowledge
// Poisoning Object.prototype Object.prototype.bar = 1; var foo = {goo: undefined}; foo.bar; // 1 'bar' in foo; // true foo.hasOwnProperty('bar'); // false foo.hasOwnProperty('goo'); // true
Here, only hasOwnProperty can give the correct answer, which is very necessary when traversing the properties of an object. There is no other way in Javascript to tell whether a property is defined on the object itself or inherited from the prototype chain.
hasOwnProperty as property
Javascript does not make hasOwnProperty a sensitive word, which means you can have a property named hasOwnProperty. At this time, you can no longer use your own hasOwnProperty method to judge properties, so you need to use the external hasOwnProperty method to judge.
var foo = { hasOwnProperty: function() { return false; }, bar: 'Here be dragons' }; foo.hasOwnProperty('bar'); // always returns false // Use another Object's hasOwnProperty and call it with 'this' set to foo ({}).hasOwnProperty.call(foo, 'bar'); // true // It's also possible to use hasOwnProperty from the Object // prototype for this purpose Object.prototype.hasOwnProperty.call(foo, 'bar'); // true
Summary
When determining the existence of object properties, hasOwnProperty is the only method that can be relied on. I would also like to remind you that when we use for in loop to traverse objects, using hasOwnProperty will effectively avoid the trouble caused by prototype object expansion.

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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.

JavaScriptisnotbuiltonCorC ;it'saninterpretedlanguagethatrunsonenginesoftenwritteninC .1)JavaScriptwasdesignedasalightweight,interpretedlanguageforwebbrowsers.2)EnginesevolvedfromsimpleinterpreterstoJITcompilers,typicallyinC ,improvingperformance.

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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