Python Set Data Type | Features Of Python Sets | Basics Of Python Set | Python Set vs Python Lists
Python Set Data Type | Features Of Python Sets | Basics Of Python Set | Python Set vs Python Lists
This video explains about the basics of python set data type. It will give you a clear understanding about how this data type is declared, how it can be used and also when should we prefer a python set instead of a python list. Having an in-depth understanding of data type is extremely crucial because it will help you to design and create solution more efficiently. A good software solution is not something that just works, but it is a solution which works efficiently. And in order to create an efficient solution, it is extremely important to use the right data structures for the data to store.
This video clearly explains, in which situation a developer must select the python set data type to store the data. There are 3 features of python set data type which you can consider to select python set data type and they are,
1. All the items that are stored in a python set are unordered.
2. All the items in a python set are unique or distinct from each other. Duplicates are not allowed to store.
3. A python set can be modified, but the item stored inside a python set can never be modified.
So if your requirements aligns with the above feature, then you can use python set data type to store your data, because they are extremely efficient way to store collection of items or data. I hope this video helps you to get comfortable with the conceptual understanding of this data type. In the next video we will understand the different operations that can be performed on python sets.
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