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# Numeric data types
age = 25  # Integer
height = 175.5  # Float


# String data types
name = "Emma"  # String
greeting = "Hello, " + name  # String concatenation


# Boolean data type (True, False)
is_adult = age >= 18  # Evaluates to True since 25 >= 18

# Result output
print("age:", age)  # 25

print("height:", height)  # 175.5

print("greeting:", greeting)  # Hello, Emma

print("is_adult:", is_adult)  # True since 25 >= 18

# How to Represent Text, Numbers, and True/False in Python

As previously mentioned, Python offers a variety of data types to handle different kinds of data.

Let's delve into the most basic data types: `String`, `Number`, and `Boolean`.

<br />

## String

A string represents text data and consists of a **sequence of characters**.

Strings are enclosed in double quotes `("")` or single quotes `('')`, and there is no functional difference between them.

```python title="String Example"
greeting = "Hello there!"

name = 'CodeFriend'
```

<br />

## Number

Numeric data types can be divided into integers (`int`) and floating-point numbers (`float`).

```python title="Number Example"
age = 30            # Integer

temperature = 98.6  # Float
```

<br />

## Boolean

The Boolean data type can hold only two values: `True` or `False`.

Booleans are commonly used in conditional statements and logical operations.

```python title="Boolean Example"
is_active = True

is_new_user = False

if is_active and is_new_user:
    print("Welcome!")
else:
    print("See you next time!")
```

Strings are enclosed in double or single quotes, and you can use the print function to print variables.

### Write code to print the string `codefriends`. (Use double or single quotes)

How to Represent Text, Numbers, and True/False in Python

String

Number

Boolean

Write code to print the string codefriends. (Use double or single quotes)

Write code to print the string `codefriends`. (Use double or single quotes)