Javascript to Python

Free Javascript to Python Code Converter

No email required. 100% free. Done in 30 seconds.

Transform your code from Javascript to Python with our free AI-based code convertion tool. If you like what you see, we also create documentation for your code! We don't ever store your code or any representation of it in our databases, but it will be shared with the LLM of our choice for processing.

Other tools

Angular

Django

.NET

Flutter

Go

Ionic + Angular

Java

Javascript

Kotlin

Laravel

Next

NodeJS

NuxtJS

PHP

Python

React Native

React

Ruby on Rails

Ruby

Rust

Spring

Swift

Vue

How to convert from Javascript to Python

Transitioning from JavaScript to Python can seem challenging, but it is manageable with a good understanding of both languages' core concepts and syntaxes. This guide will walk you through the essential steps and considerations required for an effective conversion.

Understanding Syntax Differences

The first step in converting JavaScript code to Python is understanding the syntax differences. Unlike JavaScript, Python relies on indentation to define code blocks rather than curly braces {}. Here are some basic syntax comparisons:

  • Function Definition:

    In JavaScript:

    function greet(name) {
      return "Hello, " + name;
    }
    

    In Python:

    def greet(name):
        return "Hello, " + name
    

Variable Declarations

In JavaScript, variables can be declared using var, let, or const. In Python, you don't need explicit variable declarations. Instead, you assign values directly:

In JavaScript:

let age = 25;
const PI = 3.14;

In Python:

age = 25
PI = 3.14

Data Structures

Both languages support similar data structures but with different implementations and methods:

  • Arrays and Lists:

    JavaScript uses arrays:

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

    Python uses lists:

    numbers = [1, 2, 3, 4, 5]
    
  • Objects and Dictionaries:

    JavaScript objects:

    let person = { name: "John", age: 30 };
    

    Python dictionaries:

    person = { "name": "John", "age": 30 }
    

Control Structures

Control structures in JavaScript and Python serve the same purposes but have different syntaxes:

  • If-Else Statements:

    In JavaScript:

    if (a > b) {
      // block of code
    } else {
      // block of code
    }
    

    In Python:

    if a > b:
        # block of code
    else:
        # block of code
    
  • Loops:

    For loops in JavaScript:

    for (let i = 0; i < 5; i++) {
      // block of code
    }
    

    In Python:

    for i in range(5):
        # block of code
    

Functions and Methods

Functions in both languages are similar but differ in how they are defined and used within objects or classes.

  • Class Methods:

    In JavaScript:

    const person = {
      name: "John",
      greet: function() {
        return "Hello, " + this.name;
      }
    };
    

    In Python:

    class Person:
        def __init__(self, name):
            self.name = name
    
        def greet(self):
            return "Hello, " + self.name
    

Handling Asynchronous Code

JavaScript is renowned for its asynchronous capabilities using callbacks, promises, and async/await. Python has adopted similar functionality with the asyncio package.

  • Asynchronous Functions:

    In JavaScript:

    async function fetchData() {
      let response = await fetch('url');
      let data = await response.json();
      return data;
    }
    

    In Python:

    import aiohttp
    import asyncio
    
    async def fetch_data():
        async with aiohttp.ClientSession() as session:
            async with session.get('url') as response:
                data = await response.json()
                return data
    

Error Handling

Error handling in both languages uses try, catch, finally in JavaScript, and try, except, finally in Python.

JavaScript:

try {
  // block of code
} catch (error) {
  // handle error
} finally {
  // code that runs regardless
}

Python:

try:
    # block of code
except Exception as error:
    # handle error
finally:
    # code that runs regardless

Conclusion

Converting code from JavaScript to Python requires understanding and translating the syntactical and functional differences between the two languages. While both have their unique strengths, knowing how to effectively migrate code can help leverage Python's simplicity and readability. By systematically approaching the conversion process and being mindful of the subtle differences, you can ensure a smooth transition and maintain the functionality of your original JavaScript code.

Embark on this journey with the awareness that the learnings you gain will not only help you in code conversion but also enhance your overall programming proficiency.

Document your code using AI

Sign up now
& free your developers' time

Start for free

Join thousands of companies documenting their code using AI.

Frequently Asked Questions

This free AI tool does its best to generate professional documentation. However, it's missing some context from other related files. The paid version takes into account different files to generate documentation for each use case, apart from the documentation of every file. You have also the possibility of add custom concepts to improve the knowledge of your codebase.

No. You don't have to enter any personal information to use Codex's free code documentation tool — it's 100% free.

No. An encrypted version of your code is stored only while its being processed and it's deleted immediately.

If you can work with a custom Azure model in your own account, let us know. If not, Codex also works with open source models that can run on-premises, on your own servers, so your data is always yours. Feel free to get in touch with us!