Difference Between Dictionary And Set In Python
distinguishing dictionary and set in Python
Difference Between Dictionary And Set In Python
In Python, a dictionary is a collection of key-value pairs where each key is unique and is used to retrieve its corresponding value. On the other hand, a set is an unordered collection of unique elements without any duplicates. While both dictionary and set in Python do not allow duplicate elements, the main difference lies in their structure and how they store and access data. Dictionaries use keys to retrieve values, providing a way to access elements directly using specific identifiers, whereas sets are used to store a collection of unique elements for efficient membership testing and operations like intersection, union, and difference.
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1 - Data Structure Purpose:
Dictionaries in Python are used to store key value pairs, where each key is unique.
Sets in Python are used to store unique elements without duplicates.
2) Element Storage:
Dictionaries store elements in key value pairs, where the key is used to access the corresponding value.
Sets store individual elements without any specific key.
3) Mutability:
Dictionaries are mutable, which means you can add, update, or remove key value pairs.
Sets are mutable, allowing you to add or remove elements from the set.
4) Uniqueness:
Keys in dictionaries must be unique, while values can be duplicated.
Sets contain only unique elements, meaning duplicates are automatically removed.
5) Accessing Elements:
Elements in dictionaries are accessed using keys.
Elements in sets are accessed directly as there are no keys associated with them.
6) Ordering:
Dictionaries are unordered collections in Python versions prior to 3.7, but in Python 3.7 and later, dictionaries retain insertion order.
Sets are unordered collections in Python.
7) Implementation:
Dictionaries are implemented using hash tables to provide efficient key lookup.
Sets are also implemented using hash tables to ensure uniqueness.
8) Use Cases:
Dictionaries are commonly used to represent mappings between entities, such as storing contact information (name as key and phone number as value).
Sets are useful for operations that require checking for uniqueness or performing set operations like union, intersection, and difference.
9) Performance:
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Dictionaries typically have faster lookup times than sets due to the use of keys for indexing.
Set operations like checking for membership or intersection are faster than performing similar operations with lists.
10) Size:
Dictionaries are larger in size compared to sets due to the additional storage needed for keys.
Sets are more memory efficient for storage of unique elements.
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