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.
Danke für Ihr Feedback!
Fragen Sie AI
Fragen Sie AI
Fragen Sie alles oder probieren Sie eine der vorgeschlagenen Fragen, um unser Gespräch zu beginnen
Awesome!
Completion rate improved to 5.26Renaming for Clarity
Swipe um das Menü anzuzeigen
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.
Danke für Ihr Feedback!
