搜索
首页后端开发Python教程JavaScript 就像 Python

JavaScript is like Python

本文对 JavaScript 和 Python 的语法和基本编程结构进行了比较。它旨在强调这两种流行的编程语言在实现基本编程概念方面的相似之处。

虽然这两种语言有许多共同点,使开发人员更容易在它们之间切换或理解对方的代码,但也应该注意明显的语法和操作差异。

重要的是要以轻松的角度进行这种比较,而不是过分强调 JavaScript 和 Python 之间的相似或差异。目的并不是要声明一种语言优于另一种语言,而是提供一种资源,可以帮助熟悉 Python 的程序员更轻松地理解并过渡到 JavaScript。

你好世界

JavaScript

// In codeguppy.com environment
println('Hello, World');

// Outside codeguppy.com
console.log('Hello, World');

Python

print('Hello, World')

变量和常量

JavaScript

let myVariable = 100;

const MYCONSTANT = 3.14159;

Python

myVariable = 100

MYCONSTANT = 3.14159

字符串插值

JavaScript

let a = 100;
let b = 200;

println(`Sum of ${a} and ${b} is ${a + b}`);

Python

a = 100
b = 200

print(f'Sum of {a} and {b} is {a + b}')

If 表达式/语句

JavaScript

let age = 18;

if (age 



<p><strong>Python</strong><br>
</p>

<pre class="brush:php;toolbar:false">age = 18

if age 



<h2>
  
  
  条件句
</h2>

<p><strong>JavaScript</strong><br>
</p>

<pre class="brush:php;toolbar:false">let age = 20;
let message = age >= 18 ? "Can vote" : "Cannot vote";
println(message);  // Output: Can vote

Python

age = 20
message = "Can vote" if age >= 18 else "Cannot vote"
print(message)  # Output: Can vote

数组

JavaScript

// Creating an array
let myArray = [1, 2, 3, 4, 5];

// Accessing elements
println(myArray[0]);  // Access the first element: 1
println(myArray[3]);  // Access the fourth element: 4

// Modifying an element
myArray[2] = 30;  // Change the third element from 3 to 30

// Adding a new element
myArray.push(6);  // Add a new element to the end

Python

# Creating a list to represent an array
my_array = [1, 2, 3, 4, 5]

# Accessing elements
print(my_array[0])  # Access the first element: 1
print(my_array[3])  # Access the fourth element: 4

# Modifying an element
my_array[2] = 30  # Change the third element from 3 to 30

# Adding a new element
my_array.append(6)  # Add a new element to the end

对于每个

JavaScript

let fruits = ["apple", "banana", "cherry", "date"];

for(let fruit of fruits)
    println(fruit);

Python

fruits = ["apple", "banana", "cherry", "date"]

for fruit in fruits:
    print(fruit)

词典

JavaScript

// Creating a dictionary
fruit_prices = {
    apple: 0.65,
    banana: 0.35,
    cherry: 0.85
};

// Accessing a value by key
println(fruit_prices["apple"]);  // Output: 0.65

Python

# Creating a dictionary
fruit_prices = {
    "apple": 0.65,
    "banana": 0.35,
    "cherry": 0.85
}

# Accessing a value by key
print(fruit_prices["apple"])  # Output: 0.65

功能

JavaScript

function addNumbers(a, b) 
{
    return a + b;
}

let result = addNumbers(100, 200);
println("The sum is: ", result);

Python

def add_numbers(a, b):
    return a + b

result = add_numbers(100, 200)
print("The sum is: ", result)

元组返回

JavaScript

function getCircleProperties(radius) 
{
    const area = Math.PI * radius ** 2;
    const circumference = 2 * Math.PI * radius;

    return [area, circumference];  // Return as an array
}

// Using the function
const [area, circumference] = getCircleProperties(5);

println(`The area of the circle is: ${area}`);
println(`The circumference of the circle is: ${circumference}`);

Python

import math

def getCircleProperties(radius):
    """Calculate and return the area and circumference of a circle."""
    area = math.pi * radius**2
    circumference = 2 * math.pi * radius
    return (area, circumference)

# Using the function
radius = 5
area, circumference = getCircleProperties(radius)

print(f"The area of the circle is: {area}")
print(f"The circumference of the circle is: {circumference}")

可变数量的参数

JavaScript

function sumNumbers(...args) 
{
    let sum = 0;
    for(let i of args)
        sum += i;
    return sum;
}

println(sumNumbers(1, 2, 3));
println(sumNumbers(100, 200));

Python

def sum_numbers(*args):
    sum = 0
    for i in args:
        sum += i
    return sum

print(sum_numbers(1, 2, 3))
print(sum_numbers(100, 200))

拉姆达斯

JavaScript

const numbers = [1, 2, 3, 4, 5];

// Use map to apply a function to all elements of the array
const squaredNumbers = numbers.map(x => x ** 2);

println(squaredNumbers);  // Output: [1, 4, 9, 16, 25]

Python

numbers = [1, 2, 3, 4, 5]

# Use map to apply a function to all elements of the list
squared_numbers = map(lambda x: x**2, numbers)

# Convert map object to a list to print the results
squared_numbers_list = list(squared_numbers)

print(squared_numbers_list)  # Output: [1, 4, 9, 16, 25]

课程

JavaScript

class Book 
{
    constructor(title, author, pages) 
    {
        this.title = title;
        this.author = author;
        this.pages = pages;
    }

    describeBook() 
    {
        println(`Book Title: ${this.title}`);
        println(`Author: ${this.author}`);
        println(`Number of Pages: ${this.pages}`);
    }
}

Python

class Book:
    def __init__(self, title, author, pages):
        self.title = title
        self.author = author
        self.pages = pages

    def describe_book(self):
        print(f"Book Title: {self.title}")
        print(f"Author: {self.author}")
        print(f"Number of Pages: {self.pages}")

类的使用

JavaScript

// In codeguppy.com environment
println('Hello, World');

// Outside codeguppy.com
console.log('Hello, World');

Python

print('Hello, World')

结论

我们鼓励您参与完善此比较。您的贡献,无论是更正、增强还是新增内容,都受到高度重视。通过合作,我们可以创建更准确、更全面的指南,让所有有兴趣学习 JavaScript 和 Python 的开发人员受益。


制作人员

本文转载自免费编码平台https://codeguppy.com平台的博客。

本文受到其他编程语言之间类似比较的影响:

  • Kotlin 就像 C# https://ttu.github.io/kotlin-is-like-csharp/
  • Kotlin 就像 TypeScript https://gi-no.github.io/kotlin-is-like-typescript/
  • Swift 就像 Kotlin https://nilhcem.com/swift-is-like-kotlin/
  • Swift 就像 Go http://repo.tiye.me/jiyinyiyong/swift-is-like-go/
  • Swift 就像 Scala https://leverich.github.io/swiftislikescala/

以上是JavaScript 就像 Python的详细内容。更多信息请关注PHP中文网其他相关文章!

声明
本文内容由网友自发贡献,版权归原作者所有,本站不承担相应法律责任。如您发现有涉嫌抄袭侵权的内容,请联系admin@php.cn
列表和阵列之间的选择如何影响涉及大型数据集的Python应用程序的整体性能?列表和阵列之间的选择如何影响涉及大型数据集的Python应用程序的整体性能?May 03, 2025 am 12:11 AM

ForhandlinglargedatasetsinPython,useNumPyarraysforbetterperformance.1)NumPyarraysarememory-efficientandfasterfornumericaloperations.2)Avoidunnecessarytypeconversions.3)Leveragevectorizationforreducedtimecomplexity.4)Managememoryusagewithefficientdata

说明如何将内存分配给Python中的列表与数组。说明如何将内存分配给Python中的列表与数组。May 03, 2025 am 12:10 AM

Inpython,ListSusedynamicMemoryAllocationWithOver-Asalose,而alenumpyArraySallaySallocateFixedMemory.1)listssallocatemoremoremoremorythanneededinentientary上,respizeTized.2)numpyarsallaysallaysallocateAllocateAllocateAlcocateExactMemoryForements,OfferingPrediCtableSageButlessemageButlesseflextlessibility。

您如何在Python数组中指定元素的数据类型?您如何在Python数组中指定元素的数据类型?May 03, 2025 am 12:06 AM

Inpython,YouCansspecthedatatAtatatPeyFelemereModeRernSpant.1)Usenpynernrump.1)Usenpynyp.dloatp.dloatp.ploatm64,formor professisconsiscontrolatatypes。

什么是Numpy,为什么对于Python中的数值计算很重要?什么是Numpy,为什么对于Python中的数值计算很重要?May 03, 2025 am 12:03 AM

NumPyisessentialfornumericalcomputinginPythonduetoitsspeed,memoryefficiency,andcomprehensivemathematicalfunctions.1)It'sfastbecauseitperformsoperationsinC.2)NumPyarraysaremorememory-efficientthanPythonlists.3)Itoffersawiderangeofmathematicaloperation

讨论'连续内存分配”的概念及其对数组的重要性。讨论'连续内存分配”的概念及其对数组的重要性。May 03, 2025 am 12:01 AM

Contiguousmemoryallocationiscrucialforarraysbecauseitallowsforefficientandfastelementaccess.1)Itenablesconstanttimeaccess,O(1),duetodirectaddresscalculation.2)Itimprovescacheefficiencybyallowingmultipleelementfetchespercacheline.3)Itsimplifiesmemorym

您如何切成python列表?您如何切成python列表?May 02, 2025 am 12:14 AM

SlicingaPythonlistisdoneusingthesyntaxlist[start:stop:step].Here'showitworks:1)Startistheindexofthefirstelementtoinclude.2)Stopistheindexofthefirstelementtoexclude.3)Stepistheincrementbetweenelements.It'susefulforextractingportionsoflistsandcanuseneg

在Numpy阵列上可以执行哪些常见操作?在Numpy阵列上可以执行哪些常见操作?May 02, 2025 am 12:09 AM

numpyallowsforvariousoperationsonArrays:1)basicarithmeticlikeaddition,减法,乘法和division; 2)evationAperationssuchasmatrixmultiplication; 3)element-wiseOperations wiseOperationswithOutexpliitloops; 4)

Python的数据分析中如何使用阵列?Python的数据分析中如何使用阵列?May 02, 2025 am 12:09 AM

Arresinpython,尤其是Throughnumpyandpandas,weessentialFordataAnalysis,offeringSpeedAndeffied.1)NumpyArseNable efflaysenable efficefliceHandlingAtaSetSetSetSetSetSetSetSetSetSetSetsetSetSetSetSetsopplexoperationslikemovingaverages.2)

See all articles

热AI工具

Undresser.AI Undress

Undresser.AI Undress

人工智能驱动的应用程序,用于创建逼真的裸体照片

AI Clothes Remover

AI Clothes Remover

用于从照片中去除衣服的在线人工智能工具。

Undress AI Tool

Undress AI Tool

免费脱衣服图片

Clothoff.io

Clothoff.io

AI脱衣机

Video Face Swap

Video Face Swap

使用我们完全免费的人工智能换脸工具轻松在任何视频中换脸!

热工具

SublimeText3 英文版

SublimeText3 英文版

推荐:为Win版本,支持代码提示!

Dreamweaver CS6

Dreamweaver CS6

视觉化网页开发工具

SublimeText3 Mac版

SublimeText3 Mac版

神级代码编辑软件(SublimeText3)

SublimeText3 Linux新版

SublimeText3 Linux新版

SublimeText3 Linux最新版

ZendStudio 13.5.1 Mac

ZendStudio 13.5.1 Mac

功能强大的PHP集成开发环境