Introduction to this article: In jQuery, when we use ajax, we often need to assemble input data and send it to the server in the form of key/value pairs. This work can be easily completed using JQuery's serialize method. Use this The method can serialize the form into key-value pairs (key1=value1&key2=value2…) and submit it. The following introduces the usage of serialize() in JQuery
1. Definition and usage of serialize():
The serialize() method creates a A standard URL-encoded text string that operates on a jQuery object representing a collection of form elements. You can select one or more form elements (such as inputs or text fields), or the form element itself. Serialized values can be used in URL query strings when making AJAX requests.
Syntax:
Copy code The code is as follows:
$(selector).serialize( )
Detailed description
1. The .serialize() method creates a text string represented by standard URL encoding. It operates on a jQuery object that represents a collection of form elements.
2. The .serialize() method can operate jQuery objects that have selected individual form elements, for example,
3. Only "successful controls" will be serialized into strings. If you do not use a button to submit the form, the submit button's value is not serialized. If you want a form element's value to be included in a sequence string, the element must use a name attribute.
4. The name in the form cannot use keywords in Js or jquery.
For example: length
Copy code The code is as follows:
//Use :$("#form1").serialize();
The above value cannot be obtained.
2. Examples of serialize() in JQuery
1. ajax serialize()
Copy the code The code is as follows:
$.ajax({
type: "POST",
dataType: "json",
url:ajaxCallBack,
data:$('#myForm').serialize(),// ID of the form to be submitted
success: function(msg){
alert(msg);
}
});
2. serialize() serialize form instance
Copy code The code is as follows:

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.

C and C play a vital role in the JavaScript engine, mainly used to implement interpreters and JIT compilers. 1) C is used to parse JavaScript source code and generate an abstract syntax tree. 2) C is responsible for generating and executing bytecode. 3) C implements the JIT compiler, optimizes and compiles hot-spot code at runtime, and significantly improves the execution efficiency of JavaScript.

JavaScript's application in the real world includes front-end and back-end development. 1) Display front-end applications by building a TODO list application, involving DOM operations and event processing. 2) Build RESTfulAPI through Node.js and Express to demonstrate back-end applications.


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