


Use the data() method in jQuery to read HTML5 custom attributes data-*example_jquery
The main methods are as follows:
.data( key , value )
.data( obj )
.data( key )
.data()
Starting with jQuery 1.4.3, the HTML 5 data- attribute will automatically be referenced to jQuery in the data object.
For example HTML:
The following jQuery code is It returns true:
$ ( "div" ). data ( "role" ) === "page" ;
$ ( "div" ) . data ( "lastValue" ) === 43 ;
$ ( "div" ) . data ( "hidden" ) === true ;
$ ( "div" ) . data ( "options" ) . name === "John" ;
Different from the html5 api, jQuery will try Convert a string to a JavaScript value (including booleans, numbers, objects, arrays, and null). If doing so does not change the representation of the value, the value is converted to a number. For example, "1E02" and "100.000" are equivalent to numbers (numeric value 100), but converting them would change their representation, so they are retained as strings. The string value "100" is converted to the number 100.
If the data attribute is an object (starting with "{") or an array (starting with '['), you can use jQuery.parseJSON to parse it into a string; it must follow the syntax of valid JSON, Include the property name in double quotes. If the value cannot be parsed as a JavaScript value, it will be retained as a string.
If you want to use the retrieved attribute value directly as a string, please use the attr() method.
The data-attribute is no longer accessed or changed after the first use of this data attribute (all data values are stored internally in jQuery).
If you call .data() without parameters, all data will be obtained in the form of JavaScript objects. This object can be safely stored in a variable, because once the new object is extracted, subsequent .data(obj) operations on the element will no longer affect this object. Additionally, manipulating this object directly is faster than calling .data() each time to set or get a value.

Understanding how JavaScript engine works internally is important to developers because it helps write more efficient code and understand performance bottlenecks and optimization strategies. 1) The engine's workflow includes three stages: parsing, compiling and execution; 2) During the execution process, the engine will perform dynamic optimization, such as inline cache and hidden classes; 3) Best practices include avoiding global variables, optimizing loops, using const and lets, and avoiding excessive use of closures.

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

Python and JavaScript have their own advantages and disadvantages in terms of community, libraries and resources. 1) The Python community is friendly and suitable for beginners, but the front-end development resources are not as rich as JavaScript. 2) Python is powerful in data science and machine learning libraries, while JavaScript is better in front-end development libraries and frameworks. 3) Both have rich learning resources, but Python is suitable for starting with official documents, while JavaScript is better with MDNWebDocs. The choice should be based on project needs and personal interests.

The shift from C/C to JavaScript requires adapting to dynamic typing, garbage collection and asynchronous programming. 1) C/C is a statically typed language that requires manual memory management, while JavaScript is dynamically typed and garbage collection is automatically processed. 2) C/C needs to be compiled into machine code, while JavaScript is an interpreted language. 3) JavaScript introduces concepts such as closures, prototype chains and Promise, which enhances flexibility and asynchronous programming capabilities.

Different JavaScript engines have different effects when parsing and executing JavaScript code, because the implementation principles and optimization strategies of each engine differ. 1. Lexical analysis: convert source code into lexical unit. 2. Grammar analysis: Generate an abstract syntax tree. 3. Optimization and compilation: Generate machine code through the JIT compiler. 4. Execute: Run the machine code. V8 engine optimizes through instant compilation and hidden class, SpiderMonkey uses a type inference system, resulting in different performance performance on the same code.

JavaScript's applications in the real world include server-side programming, mobile application development and Internet of Things control: 1. Server-side programming is realized through Node.js, suitable for high concurrent request processing. 2. Mobile application development is carried out through ReactNative and supports cross-platform deployment. 3. Used for IoT device control through Johnny-Five library, suitable for hardware interaction.

I built a functional multi-tenant SaaS application (an EdTech app) with your everyday tech tool and you can do the same. First, what’s a multi-tenant SaaS application? Multi-tenant SaaS applications let you serve multiple customers from a sing

This article demonstrates frontend integration with a backend secured by Permit, building a functional EdTech SaaS application using Next.js. The frontend fetches user permissions to control UI visibility and ensures API requests adhere to role-base


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