Python is one of the most popular programming languages today due to its easy syntax and wide range of applications. Whether you want to get into web development, data analysis, machine learning, or just automate simple tasks, Python is a great language to learn.

Known for its readability and versatility, Python has become one of the most popular programming languages globally. Regardless of you being an experienced programmer or a novice, Python is one language that you should have in your tool kit.

In this guide, we’ll take you through the essential steps to kickstart your Python learning journey, covering everything from installation to writing your first program.

Installing Python

Before diving into Python, you need to install it on your machine. Follow these steps:

1.1 Choosing the Right Version:

Visit the official Python website to download the latest version. Ensure you choose the version appropriate for your operating system (Windows, macOS, or Linux).

Official Python Downloads

1.2 Installation Guides:

For detailed installation instructions, refer to the official Python installation guides. They provide step-by-step instructions for various operating systems.

Once Python is installed, you can confirm it is working by opening a command prompt and typing python --version. This should print out the installed Python version.

2.1 Running Python in an IDE:

Now that Python is installed, it’s time to choose an Integrated Development Environment (IDE) for a smoother coding experience.

2.2 Popular IDEs

Explore popular IDEs like PyCharm, VSCode, or Jupyter Notebook, each catering to different needs and preferences.

Here is an example of some Python code in Visual Studio Code:

print("Hello, World!")

The Basics of Python Syntax

Get acquainted with the fundamental concepts of Python. Python’s simplicity and readability make it an ideal programming language for beginners. Start with the basics such as variables, data types, and basic operations.

Python uses simple, English-like syntax that is easy to read and write.

Key components of Python syntax

  • Indentation: Python uses indentation (whitespace) to denote blocks of code instead of brackets or curly braces. Proper indentation is important!
  • Variables: Variables are declared simply by assigning values to them. Python is dynamically typed, so you don’t need to declare variable types.
my_variable = 5
  • Comments: Write comments using the # symbol. Everything after a # is ignored.
# This is a comment
  • Functions: Use def to define a function. Parameters go inside the parentheses.
def my_function(x):
  return x * 2
  • Conditionals: if/else statements for decision making.
if x > 0:
  print("x is positive")
  print("x is negative")

Data Types in Python

Data types in Python are classifications that specify the type of data a variable can hold. Python supports a variety of data types, each serving a specific purpose. Here’s an elaboration on the key data types:

Certainly! Data types in Python are classifications that specify the type of data a variable can hold. Python supports a variety of data types, each serving a specific purpose. Here’s an elaboration on the key data types:

1. Integer (int): Represents whole numbers without any decimal points.

   # Code Example: Integer
   age = 25

2. Float (float): Represents real numbers and includes decimal points.

   # Code Example: Float
   height = 5.9

3. String (str): Represents a sequence of characters and is enclosed in single or double quotes.

   # Code Example: String
   name = "John"

4. List (list): An ordered, mutable collection of elements. Lists are defined using square brackets ([]).

   # Code Example: List
   my_list = [1, 2, 3, 4, 5]

5. Tuple (tuple): An ordered, immutable collection of elements. Tuples are defined using parentheses (()).

   # Code Example: Tuple
   coordinates = (3, 4)

6. Dictionary (dict): An unordered collection of key-value pairs. Dictionaries are defined using curly braces ({}).

   # Code Example: Dictionary
   person = {"name": "John", "age": 25}

7. Boolean (bool): Represents truth values, either True or False.

   # Code Example: Boolean
   is_adult = True

8. Set (set): An unordered collection of unique elements. Sets are defined using curly braces ({}).

   # Code Example: Set
   unique_numbers = {1, 2, 3, 4, 5}

Understanding these data types is crucial for effectively manipulating and storing data in Python. Python is dynamically typed, meaning you don’t need to explicitly declare the data type of a variable; it is inferred based on the value assigned to it.

This flexibility makes Python a versatile language for a wide range of applications. As you progress in your Python learning journey, you’ll frequently work with these data types to build robust and efficient programs.

A Simple Python Program Example

Let’s create a simple program that utilizes various data types in Python, including a function. In this example, we’ll create a program to manage information about a person, such as their name, age, coordinates, and a list of hobbies. We’ll define a function to display this information.

def display_person_info(person_info):
    Function to display information about a person.
    print("Person Information:")
    print(f"Name: {person_info['name']}")
    print(f"Age: {person_info['age']}")
    print(f"Coordinates: {person_info['coordinates']}")
    print("Hobbies:", person_info['hobbies'])

def main():
    # Define variables using different data types
    name = "John"
    age = 25
    coordinates = (3, 4)
    hobbies = ["Reading", "Coding", "Traveling"]

    # Create a dictionary to store person information
    person_info = {
        "name": name,
        "age": age,
        "coordinates": coordinates,
        "hobbies": hobbies

    # Display initial person information

    # Update person information
    person_info["age"] = 26

    # Display updated person information

if __name__ == "__main__":

This program defines a display_person_info function that takes a dictionary representing a person’s information as an argument and prints it in a readable format.

The main function initializes variables with various data types, creates a dictionary (person_info), and calls the display_person_info function to showcase the person’s information.

The information is then updated, and the function is called again to display the changes.

Learning Resources

Explore comprehensive courses tailored for complete beginners to advance your Python skills on ReviewNPrep. These courses  have plenty of tutorials for beginners. The courses cover basic concepts to advanced tutorials so that you are an expert by the end of the course:

Learn Python for Data Science & Machine Learning from A-Z

Learn Python Programming from A-Z

Learn Python + JavaScript + Microsoft SQL for Data science

Additionally, you can always do a search on Github for Python for code samples. If you want to go extra mile, you can always contribute to the open sourced Python projects.


Congratulations on taking the first steps in learning this powerful programming language!

With the right resources and dedication, you’ll soon find yourself comfortable with Python’s syntax, writing efficient code, and perhaps even working on exciting projects in machine learning, game development, or other domains.

Remember, the key to mastering any programming language is practice.

Happy coding!

Further Reading:

Mastering Exception Handling in Python: Real-Life Examples and Best Practices

Python vs C. Which language is right for you?