First of all, let me explain jQuery jQuery has a handy little function for quickly loading javascript as DOM, that is ready... It is executed before the page is loaded.
Why not use window.onload(), because when the window.onload function is executed, it must indicate that everything has been loaded, including images, banners, etc. You should know that the download speed of larger images will be slower, so users must wait for the large images to be downloaded before they can see the code effect of window.onload() execution, which takes a long time to wait, which is not what we want.
But $(document).ready(fn): binds a function to be executed when the DOM is loaded and ready for query and manipulation.
This is the most important function in the event module because it can greatly improve the response speed of web applications.
Simply put, this method is purely an alternative to registering events with the window.load event. By using this method, you can call the function you bound as soon as the DOM is loaded and ready to be read and manipulated. $(document).ready(function(){ // your code });
$(document) means to get the entire web document object (similar to window.document),
$(document).ready means to get the document object when it is ready. The meaning of the above code is to check the document object until it is allowed to be operated (Translator's Note: This is much faster than the window.onload() function, because the code can be executed as long as the document object is loaded, instead of Need to wait to see if the image download on the page has been completed) --- this is what we want.

JavaScript core data types are consistent in browsers and Node.js, but are handled differently from the extra types. 1) The global object is window in the browser and global in Node.js. 2) Node.js' unique Buffer object, used to process binary data. 3) There are also differences in performance and time processing, and the code needs to be adjusted according to the environment.

JavaScriptusestwotypesofcomments:single-line(//)andmulti-line(//).1)Use//forquicknotesorsingle-lineexplanations.2)Use//forlongerexplanationsorcommentingoutblocksofcode.Commentsshouldexplainthe'why',notthe'what',andbeplacedabovetherelevantcodeforclari

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.


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