Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.
Aprenda Renaming for Clarity | Refactoring Techniques
Code Quality and Refactoring in Python

bookRenaming for Clarity

Choosing clear, descriptive names for variables, functions, and classes is a cornerstone of writing high-quality Python code. Naming conventions such as snake_case for variables and functions, and CamelCase for classes, help maintain consistency and readability. When names are meaningful, you can quickly understand what each part of the code is responsible for, which reduces the chance of misunderstanding or introducing bugs. Unclear or ambiguous names often lead to confusion, making maintenance and collaboration much harder. By refactoring code to use better names, you not only make your code easier for others to read, but you also clarify your own intent, making future changes less error-prone.

1234567891011121314151617
# Before renaming def c(p, r): return p * r x = 100 y = 0.05 z = c(x, y) print(z) # After renaming def calculate_interest(principal, rate): return principal * rate principal_amount = 100 interest_rate = 0.05 interest = calculate_interest(principal_amount, interest_rate) print(interest)
copy

1. Why is renaming important in refactoring?

2. Match each original unclear name to its improved version.

question mark

Why is renaming important in refactoring?

Select the correct answer

question-icon

Match each original unclear name to its improved version.

->calculate_interest  ->principal_amount  ->interest_rate  ->interest
Tudo estava claro?

Como podemos melhorá-lo?

Obrigado pelo seu feedback!

Seção 2. Capítulo 3

Pergunte à IA

expand

Pergunte à IA

ChatGPT

Pergunte o que quiser ou experimente uma das perguntas sugeridas para iniciar nosso bate-papo

Awesome!

Completion rate improved to 5.26

bookRenaming for Clarity

Deslize para mostrar o menu

Choosing clear, descriptive names for variables, functions, and classes is a cornerstone of writing high-quality Python code. Naming conventions such as snake_case for variables and functions, and CamelCase for classes, help maintain consistency and readability. When names are meaningful, you can quickly understand what each part of the code is responsible for, which reduces the chance of misunderstanding or introducing bugs. Unclear or ambiguous names often lead to confusion, making maintenance and collaboration much harder. By refactoring code to use better names, you not only make your code easier for others to read, but you also clarify your own intent, making future changes less error-prone.

1234567891011121314151617
# Before renaming def c(p, r): return p * r x = 100 y = 0.05 z = c(x, y) print(z) # After renaming def calculate_interest(principal, rate): return principal * rate principal_amount = 100 interest_rate = 0.05 interest = calculate_interest(principal_amount, interest_rate) print(interest)
copy

1. Why is renaming important in refactoring?

2. Match each original unclear name to its improved version.

question mark

Why is renaming important in refactoring?

Select the correct answer

question-icon

Match each original unclear name to its improved version.

->calculate_interest  ->principal_amount  ->interest_rate  ->interest
Tudo estava claro?

Como podemos melhorá-lo?

Obrigado pelo seu feedback!

Seção 2. Capítulo 3
some-alt