isNull: function(a){
return a === null;
},
isUndefined: function(a){
return a === undefined;
},
isNumber: function(a){
return typeof a === 'number';
},
isString: function(a){
return typeof a === 'string';
},
isBoolean: function(a){
return typeof a === 'boolean';
},
isPrimitive: function(b){
var a = typeof b;
return !!(b === undefined || b === null || a == 'boolean' || a == 'number' || a == 'string');
},
isArray: function(a){
return proto_obj.toString.call(a) === '[object Array]';
},
isFunction: function(a){
return proto_obj.toString.call(a) === '[object Function]';
},
isPlainObject: function(o){
if (!o || o === win || o === doc || o === doc.body) {
return false;
}
return 'isPrototypeOf' in o && proto_obj.toString.call(o) === '[object Object]';
},
isWindow: function(o){
return o && typeof o === 'object' && 'setInterval' in o;
},
isEmptyObject: function(o){
for(var a in o) {
return false;
}
return true;
}
以上isXX系列中,isUndefined在类库中用的最多。如判断是否传入了某个参数,判断对象是否拥有某个属性等等。但这个函数是不必存在,我已将其移除。理由如下
1,isUndefined 与 使用全等(===)或typeof 多了一层函数调用。很明显多一层函数调用比直接使用原生的运算符效率会低(虽然有些微不足道),但如果isUndefined调用次数很多如上万次还是很明显的。我曾经在邮箱框架中加入了该函数,调用次数有4000多次,从性能分析工具看占用了近1%的时间。仅仅一个判断占1%的调用时间还是很可怕的。当然,邮箱框架内的isUndefined处在多层闭包的顶层,访问其也会占用较多时间。如果这一条还不足以让你放弃isUndefined,请看下面。
2,函数从一定程度上是对一些代码的封装,抽象。是组织良好代码的方式之一,且有利于降低代码的复杂性。但isNull/isUndefined/isBoolean/isNumber/isString函数内仅有一句,抽象层次很低。因此完全不必封装而提取出一个函数。
3,isUndefined(a) 与 a === undefined相比并不会节省几个字节(呵,你可以命名的更短但损失了可读性)。
综上,我去掉了类库中对基本类型判断的isNull/isUndefined/isBoolean/isNumber/isString,需要用到这些判断的时候直接使用typeof运算符等。

The main uses of JavaScript in web development include client interaction, form verification and asynchronous communication. 1) Dynamic content update and user interaction through DOM operations; 2) Client verification is carried out before the user submits data to improve the user experience; 3) Refreshless communication with the server is achieved through AJAX technology.

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


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