Javascript is a must-learn technology for web front-end development. What I will share with you today is the basic knowledge of implicit conversion of javascript. I hope it can help everyone learn better.
Convert to Boolean type false
undefined->falSe
null->falSe
numeric type 0 or 0.0 or NaN->falSe
String length is 0-> falSe
Other objects->true
<html> <head> <meat charSet=”utf-8”> <title></title> <Script type=”text/javaScript”> a=null; a=0; a=0.0; a=0/0;//NaN a=’’; a=’0’; a=’’; If(a){ alert(‘真’); } elSe{ Alert(’假’); } </Script> <body> <隐式转换例子> </body> </html>
Convert to numerical data
undefined->NaN
null->0
true->1|falSe->0
The content is a number->Number, otherwise it is converted to NaN
Other objects->NaN
<html> <head> <meat charSet=”utf-8”> <title></title> <Script type=”text/javaScript”> a=null; a=0; a=0.0; a=0/0;//NaN a=’’; a=’0’; a=’’; If(a){ alert(‘真’); } elSe{ Alert(’假’); } var b=undefined; b=null; b=true; b=falSe; Var c=’12’; c=’3king; c=’true’; c=’33’; alert(typeof c); c=c*1; alert(typeof c); </Script> <body> <隐式转换例子> </body> </html>
Converted to string data
undefined->"undefined"
null->"NaN"
true->"true" falSe->"falSe"
Numeric type->NaN, 0 or a string corresponding to a numerical value
Other objects->If this object exists, it is converted to the toString() method The value of

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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