Basic data types in python part 2

## basic data types in python (part 2)

in the first part of our tutorial on basic data types in python, we covered some fundamental types like integers, floats, strings, and booleans. in this part, we'll explore more advanced data types, including lists, tuples, sets, and dictionaries. each of these data types has unique characteristics and use cases.

### 1. lists

a list is an ordered, mutable (changeable) collection of items. lists can contain items of different data types, and you can add, remove, or change items after the list is created.

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### 2. tuples

a tuple is similar to a list in that it is an ordered collection of items. however, tuples are immutable, meaning that once a tuple is created, you cannot change its content.

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### 3. sets

a set is an unordered collection of unique items. sets are mutable, and they are useful for membership testing and eliminating duplicate entries.

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### 4. dictionaries

a dictionary is an unordered collection of key-value pairs. each key must be unique, and it is used to access the corresponding value. dictionaries are mutable and are very useful for storing data that can be associated with a unique identifier.

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### summary

in this tutorial, we explored four additional fundamental data types in python: lists, tuples, sets, and dictionaries. each of these types has its own characteristics and is suited for different scenarios:

- **lists** are ordered and mutable, making them great for collections of items where order matters.
- **tuples** are ordered but immutable, suitable for fixed collections of items.
- **sets** are unordered and unique, ideal for situations where you want to eliminate duplicates.
- **dictionaries** are key-value pairs, perfect for associating unique keys with values.

understanding these basic data types is crucial for effective programming in python. in the next part of the tutorial, we will delve into more advanced data structures and the ...

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