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Clean Code in Python: Best Practices vs. Common Mistakes
3 min readOct 23, 2024
1. Variable Naming
Bad Practice:
x = 10
y = 20
z = x + y
Good Practice:
length = 10
width = 20
area = length * width
Explanation: Descriptive variable names improve code readability.
2. Function Length
Bad Practice:
def process_data(data):
# Do multiple things here
cleaned_data = clean_data(data)
validated_data = validate_data(cleaned_data)
transformed_data = transform_data(validated_data)
saved_data = save_data(transformed_data)
return saved_data
Good Practice:
def process_data(data):
cleaned_data = clean_data(data)
validated_data = validate_data(cleaned_data)
return save_data(transform_data(validated_data))
Explanation: Keep functions short and focused on one task to maintain clarity.