Clean Code Practices in JavaScript and Python

Dominick Van Nus
2 min readAug 29, 2023

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Writing clean code is essential for maintainability, scalability, and collaboration. While JavaScript and Python serve different ecosystems — JavaScript for web development and Python often for backend and data science — they benefit from clean code practices. In this blog post, we’ll explore some fundamental principles for writing clean code that are applicable to both languages.

Naming Conventions and Comments

In both languages, meaningful variable names and well-placed comments can significantly improve code readability. JavaScript typically uses camelCase, while Python leans towards snake_case for variable names. Comments should be used sparingly to explain the ‘why’ behind the code, not the ‘what,’ which should be evident from the code itself.

// JavaScript
const calculateArea = (radius) => {
return Math.PI * Math.pow(radius, 2);
};
# Python
def calculate_area(radius):
return 3.14159 * radius ** 2

Modularity and Single Responsibility

Both JavaScript and Python encourage modular code. In JavaScript, ES6 modules allow you to export and import functions and classes. Python uses modules and packages for similar purposes. Each function or class should have a single responsibility, making the code easier to test and refactor.

// JavaScript
export const add = (a, b) => a + b;
# Python
def add(a, b):
return a + b

Error Handling and Exceptions

Both languages offer robust mechanisms for error handling. JavaScript uses try, catch, and finally blocks, while Python uses try, except, else, and finally. Proper error handling can prevent your application from crashing and provide useful debugging information.

// JavaScript
try {
performOperation();
} catch (error) {
console.error(error);
}
# Python
try:
perform_operation()
except Exception as e:
print(f"An error occurred: {e}")

Consistent Formatting and Linting

Consistency in code formatting is crucial for readability and maintainability. Tools like Prettier for JavaScript and Black for Python can automatically format code according to community-accepted standards. Linters like ESLint (JavaScript) and pylint (Python) can catch syntax errors and enforce style guidelines.

Test-Driven Development (TDD)

TDD is a software development approach in which tests are written before the code that needs to be tested. JavaScript libraries like Jest or Mocha and Python frameworks like unittest or pytest make it easier to adopt TDD. Writing tests first encourages you to think about your application architecture, inputs, and expected results.

By adhering to these clean code practices in both JavaScript and Python, you set a foundation for writing code that is easier to read, understand, and maintain. These practices are not just rules but philosophies that can guide you to become a better developer, regardless of the language you are working in.

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