Hash Tables
Explore the concept of hash tables and their role in efficient data storage and retrieval. Understand how hash functions work, the importance of collision resolution, and how Python dictionaries implement hashing. This lesson helps you grasp key principles behind hashing to improve problem-solving skills in data science and algorithms.
We'll cover the following...
Hashing is an efficient way to sort key values in memory. Hashing is used to get the values associated with the key very fast. Some examples of hash tables are:
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Employee ID, which is used to extract all the records of an employee.
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Stock ID, which is used to get the transaction of stock during the day/week/month.
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Book ISBN number, which is used to extract author, pages, price, and other relevant information.
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