Master Python with Our Comprehensive Python Tutorial for Beginners

Do you know that Python enjoys a 27.99% market share, making it the most popular programming language in the world?

Python is an extremely popular programming language. It has surpassed Java, HTML, CSS, and other programming languages in terms of popularity. Surprisingly, Python is pretty easy to start with. Even if you have never written a single line of code before, you can grasp the language pretty easily. This Python tutorial for beginners will take you straight into the world of Python.

Keep in mind that this is a very basic tutorial in Python. If you want to learn Python programming and get a Python certification, then kindly explore our offline and online Python courses. Make sure to stay till the end to get a basic understanding of Python. Let’s get started with this tutorial!

What Is Python?

Python is a high-level and interpreted programming language. It is also open source, which means that you just need to install it on your system, and voila! You are good to go. Not a single penny is required of you. It makes no difference which operating system you are running. Be it Windows, Mac, or Linux, Python can be installed easily.

Python has come a long way. It is no longer a web development language. Today, Python is used in data science, machine learning, artificial intelligence, automation and scripting, data analytics, and much more. As per the Tiobe index, Python is the most popular programming language in 2023. There must be something that makes Python such a popular and sought-after language by developers worldwide. Let’s find out why.

What Makes Python So Popular?

  • ➤ Python is open-source and free to use. Well, who does not like free stuff?
  • ➤ Python has a simple and readable syntax that resembles plain English. If long codes scare you, then Python is for you.
  • ➤ Python code is simpler and more expressive than code written in other languages. It helps in the rapid development and easy maintenance of codes.
  • ➤ Python is the jack of all trades. It means that it can be used for a wide range of tasks, from web development to automation.
  • ➤ Python's vast and active community contributes to its libraries, frameworks and tools.

What Are The Career Options In Python?

You wanted to learn Python. You joined Python classes and started learning it dedicatedly. But what about the career options? What career path can you pursue after you learn Python programming? As we mentioned before, Python is a general-purpose language. Your career can begin in a variety of fields. If you don’t like web development, then try your hands on data science or robotics.

Let us look at the following career options you can explore after you get your Python certification:

Python Developer

Build web applications, web services, and APIs using Python frameworks like Django and Flask.

Data Scientist

Collect, clean, and analyse large datasets using Python libraries like Pandas, NumPy, and Matplotlib.

Machine Learning Engineer

Develop and deploy machine learning models using Python libraries like Scikit-learn and TensorFlow. Design and implement algorithms for tasks like image recognition, natural language processing, and recommendation systems.

Data Analyst

Explore and analyse the data to extract meaningful insights. Create attractive reports and visualisations to report findings.

Software Engineer

Develop software applications using Python, often alongside other languages. Write code, test software, and debug issues.

DevOps Engineer

Automate software deployment and infrastructure management using Python. Monitor system performance and troubleshoot issues.

Research Analyst

Use Python to analyse data and conduct research in various fields, including finance, economics, science, and the social sciences.

Now that you know what Python is, its benefits and its career options, let us move on to the Python tutorial for beginners. This tutorial will cover everything you must know about Python programming for beginners and some more.

Python Tutorial For Beginners

Python Installation

Go to the official Python website to download the most recent version of the Python. The website will automatically suggest a version suitable for your operating system. After you download, follow the instructions displayed.

Choose a code editor or integrated development environment (IDE) to write and run your Python code. For beginners, we recommend using Visual Studio Code (VSCode), a lightweight and user-friendly code editor.

Writing Your First Python Program

You must be very excited to write your first Python code. Guess what we are going to start this tutorial with? Yes, you guessed it right. We will write a Python code to print “Hello, World!” Open your chosen code editor and create a new Python file. Type the following code:

print("Hello, World")


Hello, World

Variables In Python

In Python, variables are used to store and manage data. Unlike some other languages, you don't need to explicitly declare the data type of a variable; Python dynamically assigns the type.

name = "Alice"

age = 30

is_active = true

print(name, age, is_active)


Alice 30 True

Data Types In Python

Numbers: int, float, complex
Strings: str
Booleans: bool
Lists: list
Tuples: tuple
Dictionaries: dict

Operators In Python

Arithmetic: +, -, *, /, //, %, **
Comparison: ==, !=, <,>, <=,>=
Logical: and, or, not

Numbers In Python



age =30

print(age, type(age)) #Output: 30


price = 19.99

print(price, type(price)) # Output: 19.99

Python strings

Strings are sequences of characters used to represent text data. They're enclosed in single (') or double (") quotes.

Examples: "Hello, world!"; 'Python is awesome!'

message ="Hello, world!"

print(message) # Output: Hello world!

Python Tuples

Tuples are ordered, immutable collections of elements. They're used to store multiple items in a single variable, similar to lists but with certain key differences.

my_tuple = (10, 20, 30, "Hello World")

print(my_tuple) #Output: (10, 20, 30, "Hello World")

print(my_tuple[2]) #Output: 30

print(my_tuple[-1]) #Output: 'world' (accessing the last elements)

Python Lists

Lists are ordered collections of items that allow you to store multiple values in a single variable. They're mutable. It means you can change their contents after creation. Items can be of any data type (numbers, strings, other lists, etc.) and can be accessed by their index.

# Creating a list

fruits ["apple", "banana", "cherry"]

# Accessing elements

first_fruit = fruits[0] # Output: 'apple' last_fruit fruits[-1] # Output: 'cherry'

# Modifying elements

fruits[1]= "orange" # List becomes: ['apple', 'orange', 'cherry']

# Adding elements

fruits.append("mango") # List becomes: ['apple', 'orange', 'cherry', 'mango']

# Removing elements

fruits.remove("orange") # List becomes: ['apple', 'cherry', 'mango']

# Printing the list

print (fruits)

# Output: ['apple', 'cherry', 'mango']

Python Sets

Sets are unordered collections of unique elements. They're used to store multiple items without duplicates. They are created using curly braces

# Creating a set

my_set = {1, 2, 3, 3, 4}

print(my_set) # Output: {1, 2, 3, 4} (Duplicate 3 is automatically removed)

print(set1.union (set2)) # Output: {1, 2, 3, 4} (Combines unique elements from both sets)

print (set1.intersection (set2)) # Output: {2, 3} (Finds common elements)

print(set1.difference (set2)) # Output: {1} (Elements in set1 but not in set2)

Python Dictionary

They are unordered collections of key-value pairs. Each key must be unique. However, values can be duplicated. Dictionaries are also mutable. They are used to store and organise data in a structured way.

person ={"name": "Alice", "age": 30, "city": "New York"}

print (person) # Output: {'name': 'Alice', 'age': 30, 'city': 'New York'}

Conditional Statements

In Python, conditional statements let you regulate how your program runs depending on predefined criteria.

if statement:
Executes a code block if a condition is true.
elif statement:

Executes one code block if the condition is true and another if it's false.

else statement:

Checks multiple conditions and executes code blocks accordingly

age = 25

if age >= 18:

print("You are eligible to vote.")


print("You are not eligible to vote.")


You are not eligible to vote

Loops in Python

Loops in Python are structures that allow you to repeat a block of code multiple times. They're essential for tasks like iterating over sequences, processing data, and creating repetitive patterns.

Here are the two main types of loops in Python, along with example code and output:

For Loops:

Used for iterating over a sequence (like a list, string, or tuple).

fruits = ["apple", "banana", "cherry"]

for fruit in fruits:






While Loops:

Used for repeating a block of code as long as a condition is True.

count = 0

while count < 5:


count +=1






Master Python With KVCH Online Python Course

The KVCH Python certification course is your gateway to learning Python and building a successful course. Our online Python course is perfect for absolute beginners. Choose one of our courses and learn from industry experts. With hands-on training, we make sure our students are job-ready post-completion of Python training.

Key Takeaways

We hope that this Python tutorial for beginners has given you some insights about Python. We hope you have understood the variables, data types, lists, strings, tuples, dictionaries, loops, and conditional statements in Python. Python is a pretty easy language to begin with. With continuous practice and project work, you can master Python in no time. So, don’t delay. Start your Python classes today with KVCH!