Python Tutorial | Learn Python Programming Language

Learning Python is a great choice because it’s beginner-friendly, making it easy for those new to programming to get started. Its versatility allows it to be used in various fields such as web development, data science, and automation. Additionally, Python skills are highly sought after by employers in the tech industry.

In this tutorial, you’ll start with the basics, including installing Python and setting up your environment. then move on to understanding syntax, variables, and data types. As you progress, you will learn about control flow using loops and conditional statements, and how to work with data structures like lists and dictionaries. Finally, you’ll explore advanced topics such as object-oriented programming, error handling, and popular libraries.

Now, whether you’re a beginner looking to write your first Python program or an experienced developer exploring advanced Python features, this Python tutorial is tailored to guide you through every step of your Python journey and unlock endless possibilities in software development, data science, web development, and beyond. Let’s begin this exciting journey of learning Python programming.

What is Python?

Python is a high-level, general-purpose, and very popular programming language which was created by Guido van Rassum and released in 1991. Python programming language (latest Python 3) is being used in web development, and Machine Learning, Mathematic and System Scriptting. Python language is being used by almost all tech-giant companies like – Google, Amazon, Facebook, Instagram, Dropbox, Uber… etc.

First Python Program to Learn Python Programming

There are two ways you can execute your Python program:

1. First, we write a program in a file and run it one time.
2. Second, run a code line by line.

Here we provided the latest Python 3.13 version compiler where you can edit and compile your written code directly with just one click of the RUN Button. So test yourself with Python first exercises.

# Python Program to print Hello World
print("Hello World! I Don't Give a Bug")

Hello World! I Don't Give a Bug

Let us now see what will you learn in this Python Tutorial, in detail:

The first and foremost step to get started with Python tutorial is to setup Python in your system.

Below are the steps based your system requirements:

Setting up Python Environment

Before getting into to Python programming let’s setup the Python environment.

• Download and Install Python 3 Latest Version
• How to set up Command Prompt for Python in Windows10
• Setup Python VS Code or PyCharm
• Creating Python Virtual Environment in Windows and Linux

Note: Python 3.13 is the latest version of Python, but Python 3.12 is the latest stable version.

Now let us deep dive into the basics and components to learn Python Programming:

Getting Started with Python Programming

Welcome to the getting started with Python progarmming section! Here, we’ll cover the essential elements you need to kickstart your journey in Python programming. From syntax and keywords to comments, variables, and indentation, we’ll explore the foundational concepts that underpin Python development.

• Learn Python Basics
• Syntax
• Keywords in Python
• Comments in Python
• Learn Python Variables
• Learn Python Data Types
• Indentation and why is it important in Python

Learn Python Input/Output

In this segment, we explore the fundamental aspects of handling input and output operations in Python, crucial for interacting with users and processing data effectively. From mastering the versatile print() function to exploring advanced formatting techniques and efficient methods for receiving user input, this section equips you with the necessary skills to harness Python’s power in handling data streams seamlessly.

• Python print() function
• f-string in Python
• Print without newline in Python
• Python | end parameter in print()
• Python | sep parameter in print()
• Python | Output Formatting
• Taking Input in Python
• Taking Multiple Inputs from users in Python

Python Data Types

Python data types offers, enabling you to manipulate and manage data with precision and flexibility. Additionally, we’ll delve into the dynamic world of data conversion with casting, and then move on to explore the versatile collections Python provides, including lists, tuples, sets, dictionaries, and arrays.

By the end of this section, you’ll not only grasp the essence of Python’s data types but also wield them proficiently to tackle a wide array of programming challenges with confidence.

• Strings
• Numbers
• Booleans
• Python List
• Python Tuples
• Python Sets
• Python Dictionary
• Python Arrays
• Type Casting

Python Operators

In this section of Python Operators we will cover from performing basic arithmetic operations to evaluating complex logical expressions. Here We’ll delve into comparison operators for making decisions based on conditions, and then explore bitwise operators for low-level manipulation of binary data. Additionally, we’ll unravel the intricacies of assignment operators for efficient variable assignment and updating. Lastly, we’ll demystify membership and identity operators, such as in and is, enabling you to test for membership in collections and compare object identities with confidence.

• Arithmetic operators
• Comparison Operators
• Logical Operators
• Bitwise Operators
• Assignment Operators
• Membership & Identity Operators | Python “in”, and “is” operator

Python Conditional Statement

Python Conditional statements are pivotal in programming, enabling dynamic decision-making and code branching. In this section of Python Tutorial, we’ll explore Python’s conditional logic, from basic if…else statements to nested conditions and the concise ternary operator. We’ll also introduce the powerful match case statement, new in Python 3.10. By the end, you’ll master these constructs, empowering you to write clear, efficient code that responds intelligently to various scenarios. Let’s dive in and unlock the potential of Python’s conditional statements.

• Python If else
• Nested if statement
• Python if-elif-else Ladder
• Python If Else on One Line
• Ternary Condition in Python
• Match Case Statement

Python Loops

Here, we’ll explore Python loop constructs, including the for and while loops, along with essential loop control statements like break, continue, and pass. Additionally, we’ll uncover the concise elegance of list and dictionary comprehensions for efficient data manipulation. By mastering these loop techniques, you’ll streamline your code for improved readability and performance.

• For Loop
• While Loop
• Loop control statements (break, continue, pass)
• Python List Comprehension
• Python Dictionary Comprehension

Python Functions

Python Functions are the backbone of organized and efficient code in Python. Here, we’ll explore their syntax, parameter handling, return values, and variable scope. From basic concepts to advanced techniques like closures and decorators. Along the way, we’ll also introduce versatile functions like range(), and powerful tools such as *args and **kwargs for flexible parameter handling. Additionally, we’ll delve into functional programming with map, filter, and lambda functions.

• Python Function syntax
• Arguments and Return Values in Python Function
• Python Function Global and Local Scope Variables
• Use of pass Statement in Function