Lists and tuples in Python are both used to store collections of items, but they have key differences: 1. Mutability: - Lists are mutable (can be changed) - Tuples are immutable (cannot be changed) Think of a list like a whiteboard where you can add, remove, or change items. A tuple is more like a pRead more
Lists and tuples in Python are both used to store collections of items, but they have key differences:
1. Mutability:
– Lists are mutable (can be changed)
– Tuples are immutable (cannot be changed)
Think of a list like a whiteboard where you can add, remove, or change items. A tuple is more like a printed document – once created, its content is fixed.
2. Syntax:
– Lists use square brackets: [1, 2, 3]
– Tuples use parentheses: (1, 2, 3)
3. Performance:
– Tuples are slightly faster and use less memory
4. Usage:
– Lists are ideal for collections that might change
– Tuples are good for fixed data or as dictionary keys
Real-life comparisons:
– List: Shopping list (items can be added or removed)
– Tuple: Date of birth (day, month, year – doesn’t change)
Choose lists when you need a flexible, changeable collection. Use tuples for data that shouldn’t be altered, like coordinates or RGB color values.
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Decorators in Python Decorators in Python are a powerful and convenient way to modify the behaviour of a function or a class. Think of them as wrappers (Wrappers in Python are part of the decorator mechanism. They are essentially the extra code that gets added to a function when you use a decorator.Read more
Decorators in Python
Decorators in Python are a powerful and convenient way to modify the behaviour of a function or a class. Think of them as wrappers (Wrappers in Python are part of the decorator mechanism. They are essentially the extra code that gets added to a function when you use a decorator.) You can place around functions or methods to extend their behaviour without explicitly modifying their code.
Concept
How Its Works
- Define a Decorator Function
- Apply the Decorator
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