Summary  
This chapter introduces Python’s fundamental data types (strings, integers, floats, booleans, and complex numbers), shows how to check and convert between them dynamically, and explains numeric operations like float and integer division.

General domain of usage  
Data processing

Watch this video for a clear overview of Python's main data types and how to identify and convert between them. You'll see practical demonstrations of working with `str`, `int`, `float`, `complex`, and `bool` values, and learn how Python manages types automatically. This visual guide will help reinforce your understanding and give you confidence when working with variables in your own code.

Python offers various data types, each serving a specific purpose and stored uniquely in memory for efficient coding. There's no need to memorize all of them. Use `print(type(value))` to check a variable's type and experiment with different values to see their types.

# Text
text_var = "Hello, World!"  # `str`

# Numeric
int_var = 42                # `int`
float_var = 3.14            # `float`
complex_var = 2 + 3j        # `complex`

# Boolean
bool_var = True             # `bool`

# Check variable type
print(type(text_var))

To switch between types, you can use `int()` for integers, `float()` for decimals, and `complex()` for complex numbers. However, be cautious when transforming one type to another.

# Variables
int_num = 11
real_num = 16.83

# Show original and converted values
# int() removes the decimal part
print(int_num, float(int_num))
print(real_num, int(real_num))

Dividing two integers with the `/` operator always returns a float, even if the division is exact. To perform integer division and get the quotient without the remainder, use the `//` operator.

# Perform division of two integers
division = 25 / 5

# The result of the division and its type
print(division, type(division)) 

Do you need to specify the data type when creating a variable?

Python is an interpreted high-level general-purpose programming language. Unlike HTML, CSS, and JavaScript, which are primarily used for web development, Python is versatile and can be used in various fields, including software development, data science, and back-end development. In this course, you'll explore the core aspects of Python, and by the end, you'll be crafting your own functions!

Dive into the basics of Python, explore your workspace, and perform simple math operations. Learn how to write readable code using comments and handle both basic and advanced mathematical expressions while displaying your results.

Data Types in Python