Difference Between List Tuple Set And Dictionary In Python
distinguishing between list, tuple, set, and dictionary in Python
Difference Between List Tuple Set And Dictionary In Python
In Python, a list is an ordered collection of items that can be changed (mutable), a tuple is an ordered collection that cannot be changed (immutable), a set is an unordered collection of unique items, and a dictionary is a collection of key-value pairs. Lists are defined with square brackets [], tuples with parentheses (), sets with curly braces {}, and dictionaries with curly braces {} with key:value pairs inside. While lists and tuples are indexed by position, sets cannot be indexed and dictionaries are indexed by their keys. Each data structure serves a different purpose based on their characteristics making them suitable for different programming needs in Python.
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1 - List:
Lists are ordered collections of items in Python.
Elements in a list can be modified, added, or removed.
Lists are declared using square brackets [].
Lists allow duplicate elements.
Lists are mutable, meaning they can be changed after creation.
2) Tuple:
Tuples are ordered collections of items like lists.
Elements in a tuple cannot be modified, added, or removed once the tuple is created (immutable).
Tuples are declared using parentheses ().
Tuples allow duplicate elements.
Tuples are often used for sequences that should not be changed, such as coordinates.
3) Set:
Sets are unordered collections of unique elements in Python.
Sets do not allow duplicate elements.
Sets are declared using curly braces {}.
Sets are mutable, meaning elements can be added or removed.
Sets are commonly used for tasks that involve performing mathematical set operations like union, intersection, etc.
4) Dictionary:
Dictionaries are key value pairs in Python.
Each element in a dictionary consists of a key and a corresponding value.
Dictionaries are unordered collections.
Dictionaries are declared using curly braces {} with key value pairs separated by a colon.
Dictionaries are mutable and can be modified, added to, or have items removed.
Offering a training program to students on these data structures in Python can help them understand the fundamental differences and choose the appropriate structure for different programming tasks based on their requirements.
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