hash-tables

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Hash Tables

Hash Table, Map, HashMap, Dictionary or Associative are all the names of the same data structure. It is a data structure that implements a set abstract data type, a structure that can map keys to values.

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CharacteristicDescription
DefinitionA hash table is a data structure that maps keys to values using a hash function to compute an index into an array of buckets or slots.
Hash FunctionA function that converts a key into an index for the hash table. It helps in determining where to store the value associated with the key.
Collision HandlingTechniques like chaining (using linked lists) or open addressing (probing) are used to handle cases where multiple keys hash to the same index.
Access TimeAverage-case O(1) for lookups, insertions, and deletions. Performance may degrade to O(n) in worst-case scenarios with poor hash functions or high collision rates.
Memory UsageHash tables typically use extra memory for the array and pointers (in case of chaining). The memory usage depends on the load factor and hash table size.
Dynamic ResizingMany implementations resize the hash table when the load factor exceeds a threshold to maintain performance.
ApplicationsUsed in various applications including caching, indexing, and associative arrays.
Python LibrariesPython’s built-in dictionary (dict) is a hash table implementation. Other libraries also provide hash table implementations for specialized use cases.

Examples of Hash Table Implementations in Python

LibraryExample Usage
Built-in dictPython’s built-in dictionary is a hash table implementation. <br> Example: <br> python <br> my_dict = {} <br> my_dict['key'] = 'value' <br> print(my_dict['key']) # Outputs 'value' <br>
collections.defaultdictA subclass of the built-in dictionary that returns a default value if a key is not found. <br> Example: <br> python <br> from collections import defaultdict <br> dd = defaultdict(int) <br> dd['key'] += 1 <br> print(dd['key']) # Outputs 1 <br>
hashlibProvides hash functions to create hash values but does not directly implement hash tables. <br> Example: <br> python <br> import hashlib <br> hash_value = hashlib.md5(b'key').hexdigest() <br> print(hash_value) <br>
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