What is Hashing | Hashing in Data Structures | Hash Function | Data Structures | Intellipaat
In this video on “Hashing”, you are on a long ride to obtain a huge amount of information about Hashing and Hash functions in Data Structure. In this video, you will learn what Hashing is, what the use cases of Hashing are and some examples of Hashing. Next, we will move forward with what Hashing key is, the types of Hashing keys and Hash functions and Hash tables. In the next part of the video, you will gain a deeper understanding of the characteristics of Hash functions and the various operations available. Later, you will learn about the different collision Hashing techniques, how Hashing gets O(1) complexity and end the video with what Rehashing is.
🔵 What is Hashing?
A common method for storing and retrieving data as quickly as feasible is called Hashing. Hashing refers to the process of converting object data into a representative integer value via a function or algorithm. Then, while looking for the object on the map, we may utilise this so-called hash code (or just hash) to focus our search. These hash codes are often used to create an index where the value is kept. The primary benefit of using Hashing is that it produces the best results since it uses the best searches.
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🔵 Following topics are covered in this session:
0:00 - Introduction to Hashing
1:11 - What is Hashing
1:43 - Use Cases of Hashing
3:43 - What is a Hashing Key?
4:11 - Types of Hashing Keys
5:34 - What are Hash Tables and Hash Functions?
7:05 - Characteristics of Hash Functions
8:47 - Example of Hashing
10:38 - Various Operations in Hash Functions
11:08 - Collision Hashing Techniques
15:04 - How does Hashing get O(1) Complexity?
15:58 - What is Rehashing?
16:42 - Conclusion
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