Table of Contents
introduction
Review of basic knowledge
Core concept or function analysis
The definition and function of JavaScript
The definition and function of Python
How JavaScript works
How Python works
Example of usage
Basic usage of JavaScript
Basic usage of Python
Advanced usage of JavaScript
Advanced usage of Python
Common Errors and Debugging Tips
Performance optimization and best practices
Home Web Front-end JS Tutorial What should I learn first, JavaScript or Python?

What should I learn first, JavaScript or Python?

Apr 02, 2025 pm 02:00 PM
python

You should learn Python first. 1. Python is suitable for beginners, with concise syntax and widely used in data science and back-end development. 2. JavaScript is suitable for front-end development, with complex syntax but wide application. When making a choice, you need to consider your learning goals and career direction.

What should I learn first, JavaScript or Python?

introduction

When you stand between JavaScript and Python, you may ask yourself: Which one should I learn first? The purpose of this article is to help you answer this question. Whether you are a beginner or someone with some programming experience, choosing the right first language is crucial. We will start with the basics and gradually deepen into the practical application and best practices of these two languages ​​to help you make informed choices.

After reading this article, you will learn about the basic concepts of JavaScript and Python, their application scenarios, learning curves, and how to choose the language that suits you best based on your needs and goals.

Review of basic knowledge

JavaScript is a scripting language that runs in the browser, which makes web pages interactive dynamically. Python is a general-purpose programming language known for its simplicity and readability, and is widely used in fields such as data analysis, machine learning, and back-end development.

When learning JavaScript, you need to understand basic concepts such as variables, functions, and DOM operations; and when learning Python, you need to master basic knowledge such as variables, data structures, and functions. Both have rich libraries and frameworks. JavaScript has front-end frameworks such as React and Vue, and Python has back-end frameworks such as Django and Flask.

Core concept or function analysis

The definition and function of JavaScript

JavaScript is the core language of front-end development, which makes web pages no longer static, but can interact with users. Its function is to create dynamic web pages, process form verification, realize animation effects, etc. Here is a simple JavaScript example showing how to display a welcome message on a web page:

 // Define a function to display welcome message function showWelcomeMessage() {
    let name = prompt("Please enter your name:");
    if (name) {
        document.getElementById("welcome").innerText = `Welcome, ${name}!`;
    } else {
        document.getElementById("welcome").innerText = "Welcome, anonymous user!";
    }
}

// Call the function showWelcomeMessage();
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The definition and function of Python

Python is known for its simplicity and readability, and is suitable for a variety of programming tasks. It is widely used in data science, machine learning, automated scripting and other fields. Here is a simple Python example showing how to calculate the sum of all numbers in a list:

 # Define a list number = [1, 2, 3, 4, 5]

# Use the sum function to calculate the sum of all numbers in the list total = sum(numbers)

# Print result print(f"The sum of all numbers in the list is: {total}")
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How JavaScript works

JavaScript runs in the browser by interpreting execution. It can directly manipulate the DOM structure of the web page to achieve dynamic effects. The asynchronous nature of JavaScript makes it very efficient when handling user interactions and network requests, but can also lead to problems such as callback hell.

How Python works

Python is an interpreted language where code is interpreted and executed at runtime. Python's memory management and garbage collection mechanisms allow developers to focus on logical implementations without worrying about memory leaks. Python has a rich standard library and provides many built-in functions and modules, which greatly facilitates development.

Example of usage

Basic usage of JavaScript

Here is a simple JavaScript example showing how to use event listeners to respond to user clicks:

 // Get button element let button = document.getElementById("myButton");

// Add click event listener button.addEventListener("click", function() {
    alert("You clicked the button!");
});
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This example shows how to enable user interaction through DOM operations and event listening.

Basic usage of Python

Here is a simple Python example showing how to use list comprehensions to create a new list:

 # Create a square list of 1 to 10 squares = [x**2 for x in range(1, 11)]

# Print result print(squares)
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This example shows the simplicity and power of Python list comprehension.

Advanced usage of JavaScript

Here is a JavaScript example using Promise, showing how to handle asynchronous operations:

 // Define an asynchronous function to simulate network request function fetchData() {
    return new Promise((resolve, reject) => {
        setTimeout(() => {
            resolve("Data obtained");
        }, 2000);
    });
}

// Use Promise to handle asynchronous operations fetchData().then(data => {
    console.log(data);
}).catch(error => {
    console.error(error);
});
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This example shows how to use Promise to handle asynchronous operations to avoid callback hell.

Advanced usage of Python

Here is a Python example using a decorator that shows how to implement logging:

 # Define a decorator to record the function execution time def log_execution_time(func):
    def wrapper(*args, **kwargs):
        import time
        start_time = time.time()
        result = func(*args, **kwargs)
        end_time = time.time()
        print(f"Func.__name__} Execution time: {end_time - start_time} seconds")
        return result
    Return wrapper

# Use the decorator @log_execution_time
def slow_function():
    import time
    time.sleep(2)
    return "Slow function execution is completed"

# Call the function result = slow_function()
print(result)
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This example shows how to use a decorator to implement logging and improve the maintainability of your code.

Common Errors and Debugging Tips

In JavaScript, common errors include undefined variables, syntax errors, improper processing of asynchronous operations, etc. Debugging skills include using browser developer tools, console.log to output debugging information, using try-catch to catch exceptions, etc.

In Python, common errors include indentation errors, type errors, module import errors, etc. Debugging skills include using print statements to output debugging information, using pdb debugger, using try-except to catch exceptions, etc.

Performance optimization and best practices

In JavaScript, performance optimization can start from reducing DOM operations, using event delegation, optimizing asynchronous operations, etc. Here is an example of optimizing DOM operations:

 // Before optimization for (let i = 0; i < 1000; i ) {
    document.body.innerHTML = `<div>Item ${i}</div>`;
}

// After optimization let html = &#39;&#39;;
for (let i = 0; i < 1000; i ) {
    html = `<div>Item ${i}</div>`;
}
document.body.innerHTML = html;
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This example shows how to improve performance by reducing DOM operations.

In Python, performance optimization can start with using list derivation, avoiding global variables, using built-in functions, etc. Here is an example of optimization using list comprehension:

 # squares before optimization = []
for x in range(1, 1001):
    squares.append(x**2)

# Optimized squares = [x**2 for x in range(1, 1001)]
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This example shows how to improve the performance and readability of your code by using list comprehensions.

When choosing JavaScript or Python as your first language, you need to consider the following factors:

  • Learning Objectives : If you are interested in front-end development, JavaScript may be a better choice; if you are interested in data science, machine learning, or back-end development, Python may be a better choice.
  • Learning curve : Python's syntax is more concise and suitable for beginners to get started quickly; JavaScript's syntax is relatively complex, but it is widely used in front-end development.
  • Application scenario : JavaScript is mainly used for front-end development, while Python is widely used in various fields.

In short, choosing JavaScript or Python as the first language depends on your interests and career goals. No matter which one you choose, it will open the door to the world of programming for you. I wish you a happy study!

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