Renaming 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)
1. Why is renaming important in refactoring?
2. Match each original unclear name to its improved version.
Merci pour vos commentaires !
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Can you explain more about other naming conventions in Python?
Why is it important to follow these naming conventions in a team setting?
Can you give more examples of good and bad variable names?
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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)
1. Why is renaming important in refactoring?
2. Match each original unclear name to its improved version.
Merci pour vos commentaires !
