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

# Displaying original and converted numbers (integer - to float, and vice versa)
# Converting a decimal to an integer drops the decimal without rounding.
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.

Learn how to store and manage data in Python by working with numbers, text, and variables. Understand how to assign values, follow naming conventions, and explore different data types. Gain hands-on experience with string operations, indexing, slicing, and memory recall techniques to efficiently manipulate text in Python.

Learn how to use comparison and logical operators, work with conditional expressions, and apply membership and type comparisons. Build a strong foundation in writing programs that respond dynamically to different conditions using if/else and if/elif/else structures.

Expand your understanding of data types by learning how to group multiple attributes within a single variable. Explore lists, tuples, and dictionaries to efficiently store and manage structured data, along with essential methods for manipulation and retrieval.

Master the art of writing loops in Python—essential constructs for iterating over lists, tuples, dictionaries, and other data structures. Learn to use while and for loops effectively, explore the range function, and work with nested loops to handle complex iteration patterns.

Explore essential built-in functions in Python and take the next step by creating your own. Learn how to define functions, use conditional logic, modify existing functions, and work with lambda expressions to write efficient, reusable code.

Which of these is a correct way to create a variable?

How do you store the text `"Hello"` in a variable named `greeting`?

Which of these variable names is valid in Python?

What is the correct way to output `"c<>definity"` in the console?

How can you convert the string `"123"` to an integer?

What will happen when the following code is executed?

Data Types in Python