How do variables handle data types?

In Python, variables are dynamically typed, meaning that you do not need to explicitly declare the data type of a variable when you create it. The data type is determined by the value assigned to the variable. Here’s how variables handle different data types:

Integer: Represents whole numbers.
```
age = 25  # Integer
```
Float: Represents decimal numbers.
```
height = 1.75  # Float
```
String: Represents text.
```
name = "Alice"  # String
```
Boolean: Represents True or False values.
```
is_student = True  # Boolean
```
List: Represents an ordered collection of items.
```
scores = [90, 85, 88]  # List
```
Tuple: Represents an immutable ordered collection of items.
```
coordinates = (10.0, 20.0)  # Tuple
```
Dictionary: Represents a collection of key-value pairs.
```
student = {"name": "Alice", "age": 25}  # Dictionary
```
Set: Represents an unordered collection of unique items.
```
unique_numbers = {1, 2, 3}  # Set
```

You can also convert between data types using built-in functions like int(), float(), str(), etc. For example:

num_str = "100"
num_int = int(num_str)  # Converts string to integer

This flexibility allows you to work with different data types easily and perform various operations on them.