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Title: Understanding Python Hash Table vs Dictionary - A Comprehensive Tutorial
Introduction:
Python dictionaries are widely used for efficient data storage and retrieval. Behind the scenes, dictionaries in Python are implemented using hash tables. In this tutorial, we will explore the concepts of hash tables and dictionaries, highlighting their similarities and differences. We will also provide code examples to illustrate their usage.
A hash table is a data structure that allows rapid retrieval of values based on a key. It works by using a hash function to compute an index into an array of buckets or slots, from which the desired value can be found.
A dictionary is a built-in data type in Python that stores data in key-value pairs. It provides a way to map keys to values, allowing for efficient and quick retrieval of values.
Key-Value Mapping:
Efficient Retrieval:
Syntax:
Usage:
In Python, dictionaries are a high-level implementation of hash tables, providing a convenient and user-friendly way to work with key-value pairs. Understanding the underlying concepts of hash tables can enhance your understanding of how dictionaries work, leading to more informed decisions in choosing the right data structure for your specific needs.
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