Python Tutorials for Beginners to Advance: Learn Variables, Loops, OOP, Decorators, and More - Raspberry Pi Projects, Tutorials, Learning DIY Electronics - Makergenix



Python Tutorials for Beginners to Advance: Learn Variables, Loops, OOP, Decorators, and More

Python is a high-level, interpreted programming language used for web development, scientific computing, data analysis, artificial intelligence, and machine learning. It was created in 1991 by Guido van Rossum, and its simplicity, readability, and ease of use have made it one of the most popular programming languages in the world. In this article, we will cover Python tutorials for beginners to advance.

Python Tutorials for Beginners to  Advance

Beginner Tutorials:

  • Variables and Data Types: The first thing you need to know when learning Python is how to define variables and data types. In Python, you don't need to specify the data type of a variable, as Python automatically determines the data type based on the value assigned to it. For example, you can define a variable 'a' and assign it the value 10:

a = 10

Here, Python automatically detects that the value 10 is an integer and assigns the integer data type to the variable 'a'.

  • Conditional Statements: Conditional statements are used to make decisions based on a certain condition. The most common conditional statement in Python is the if-else statement. Here's an example:

x = 10
if x > 5
    print("x is greater than 5"
    print("x is less than or equal to 5")

    • Loops: Loops are used to repeat a block of code until a certain condition is met. There are two types of loops in Python: for loops and while loops. Here's an example of a for loop:

    for i in range(10): 

    This code will print the numbers from 0 to 9.

    Intermediate Tutorials:

    • Functions: Functions are reusable blocks of code that perform a specific task. In Python, you can define a function using the 'def' keyword. Here's an example:

    def greet(name): 
        print("Hello, " + name + "!"

    This code defines a function called 'greet' that takes a parameter 'name' and prints a greeting message using the name. The function is then called with the argument 'John', which will output "Hello, John!".

    • Lists: Lists are used to store multiple values in a single variable. You can define a list in Python using square brackets. Here's an example:

    my_list = [1, 2, 3, 4, 5]

    You can access the values in the list using the index, which starts at 0. For example, to access the first value in the list, you can use:


    This will output 1.

    • Dictionaries: Dictionaries are used to store key-value pairs. You can define a dictionary in Python using curly braces. Here's an example:

    my_dict = {'name': 'John', 'age': 30, 'city': 'New York'}

    You can access the values in the dictionary using the keys. For example, to access the value of the 'name' key, you can use:


    This will output 'John'.

    Advanced Tutorials:

    • Object-Oriented Programming: Object-oriented programming (OOP) is a programming paradigm that uses objects to represent and manipulate data. In Python, everything is an object, and you can create your own classes and objects. Here's an example:

    class Person: def __init__(self, name, age): = name self.age = age def greet(self): print("Hello, my name is " + + " and I am " + str(self.age) + " years old.") person1 = Person("John", 30) person1.greet()

    This code defines a class called 'Person' with a constructor that takes two parameters: 'name' and 'age'. The class also has a method called 'greet' that prints a greeting message using the name and age of the person. An object of the 'Person' class is created with the name "John" and age 30, and the 'greet' method is called on the object, which will output "Hello, my name is John and I am 30 years old."

    • Modules and Packages: Python has a large standard library, but you can also create your own modules and packages to reuse code across multiple projects. A module is a file containing Python code, while a package is a directory containing multiple modules. Here's an example of how to create and use a module:

    Create a file called '' with the following code:

    def add(x, y): 
        return x + y 
    def subtract(x, y): 
        return x - y

    Create another file called '' with the following code:

    import math_utils 
    print(math_utils.add(10, 5)) 
    print(math_utils.subtract(10, 5))

    This code imports the 'math_utils' module and uses the 'add' and 'subtract' functions from the module to perform some basic arithmetic operations.

    • Decorators: Decorators are a way to modify or extend the behavior of a function without changing its source code. In Python, you can define a decorator using the '@' symbol followed by the name of the decorator function. Here's an example:

    def my_decorator(func): def wrapper(): print("Before the function is called.") func() print("After the function is called.") return wrapper @my_decorator def say_hello(): print("Hello!") say_hello()

    This code defines a decorator called 'my_decorator' that adds some extra functionality to the 'say_hello' function. The 'say_hello' function is decorated using the '@my_decorator' syntax, which tells Python to apply the 'my_decorator' function to the 'say_hello' function. When the 'say_hello' function is called, the decorator adds some extra output before and after the function is executed.


    Python is a powerful and versatile programming language that can be used for a wide range of applications. In this article, we covered some basic, intermediate, and advanced Python tutorials, including variables and data types, conditional statements, loops, functions, lists, dictionaries, object-oriented programming, modules and packages, and decorators. With these skills, you'll be well on your way to becoming a proficient Python developer.

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