Lists and tuples are fundamental Python data structures with distinct characteristics and use cases.
List:
- Mutable: Elements can be changed after creation.
- Memory Usage: Consumes more memory.
- Performance: Slower iteration compared to tuples but better for insertion and deletion operations.
- Methods: Offers various built-in methods for manipulation.
Example:
a_list = ["Data", "Camp", "Tutorial"]
a_list.append("Session")
print(a_list) # Output: ['Data', 'Camp', 'Tutorial', 'Session']
Powered By
Tuple:
- Immutable: Elements cannot be changed after creation.
- Memory Usage: Consumes less memory.
- Performance: Faster iteration compared to lists but lacks the flexibility of lists.
- Methods: Limited built-in methods.
Example:
a_tuple = ("Data", "Camp", "Tutorial")
print(a_tuple) # Output: ('Data', 'Camp', 'Tutorial')
Leave a Reply