Do you know that in the field of various programming languages, Python Tutorial is one of the most searched topics on the internet? Well, the reason is that Python is very easy to learn yet is a very powerful programming language. It generally has simpler syntax and is dynamically typed which provides support from simpler script development to building powerful web applications. Python is widely popular among college students who aspire to become software engineers or the ones who want to enter the growing fields of Data Science, Artificial Intelligence, and Machine Learning.
With this Python Tutorial, we are going to teach you about Python programming language in a proper detailed, and optimized manner that simply makes it easy for beginners to build a strong foundation in their coding journey.
Table of Content
What is Python?
Python is an interpreted and open-source programming language that generally supports object-oriented and high-level programming with flexible rules. It is a simple, beginner-friendly, and powerful language that has built-in data structures and robust modules and libraries which helps to create rapid applications and encourage program modularity and code reuse.
Also, Python is a cross-platform programming language which means that you can install it on any operating system like Windows, Linux, and macOS which simply makes Python the go-to language for developers, no matter what platform they are using.
A Brief History of Python
In 1991, Python was created by a Dutch programmer named Guido van Rossum as a high-level, and easy-to-learn language. You may have thought that the name “Python” was inspired by the Python Snake, but that was not the reason, Python was originally inspired by the British comedy group “Monty Python” which simply reflects van Rossum’s love for their humor.
Click History of Python to learn more about its initial development.
As the technology evolved significantly, python has also upgraded its features and capabilities with a wide range of tools and libraries that simply make it one of the most versatile modern programming languages. The current version of Python is Python 3.x which includes many new features and optimizations to support a wide range of modern applications and technologies.
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Why learn Python?
Here are the key points that show why you should consider Python as your first programming language.
- Easier Syntax: You will have a great time learning Python as its syntax is like an English language. Compared to Java and C++, python’s syntax is very easy. The fun thing is, you also don’t have to worry about the missing semicolons (;) at the end.
- Versatile: Python is one of the widely used programming languages in fields like data science, web development, and AI-ML.
- High Demands: As technology like Artificial Intelligence and Machine Learning evolves the demand for talented Python developers is also skyrocketing. Companies are willing to offer attractive salaries and opportunities to talented individuals.
- Community support: Python has a very big community support that ensures extensive resources, detailed tutorials, and timely help for learners.
Setting Up Your Python Environment
Before actually starting learning, first, you need to step into your Python environment in order to run your code and build projects.
Step 1: Install Python in your Computer System
- Download Python: Click the official Python website and from there download the latest version of Python for your respective operating system.
- Install Python: After that, run the downloaded installer to complete the installation process. During installation, check the box labeled “Add Python to PATH” to avoid configuration issues in the future.
Step 2: Verify Installation
In order to ensure that you have successfully installed python in your system, open the command prompt or terminal and type this command:
python --version
For a detailed installation process, click on: How to download and install Python?
Step 3: Choose an IDE
Choosing a reliable and robust IDE(Integrated Development Environment) helps you to write your code in easier and beautiful manner. Features like syntax highlighting, auto-completion or suggestion, and debugging are provided by IDE. Below we have discussed a few popular IDEs and code editors:
You can use online platforms that can help you to skip these long process of installation, Here are a few platforms:
- Google Colab: Great for beginners and data scientists.
- Replit: Ideal for writing and testing simple Python scripts.
Once you have set up your Python environment and selected your favorite IDE, You are ready to learn Python and write lines of code.
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Excited Now? Let’s write your first Python program to start this tutorial:
1. Writing Your First Python Program
Let’s begin with the classic “Hello, World!” program. Open your IDE or terminal and type the following:
Run this code, and you’ll see the output:
Hello, World!
Very Good! You have successfully, written your first Python program. Now let’s move on to the next section of this tutorial:
2. Basics of Python
In order to get started with Python, first you need to get familiar with the fundamentals of Python that generally builds a strong foundation for you. This section covers the basic or starting concepts of Python like syntax, variables, data types, operators, and more. In order to become proficient in Python you need to become an expert in these topics.
3. Python Strings
Anything written in single or double quotes is treated as a string in Python. Strings are also immutable, which means that they cannot be changed once they are created. In Python, strings are generally the instance of the str class.
Don’t worry we will discuss what class is and what its instances are in later sections.
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4. Python Control Flow
Control flow basically determines the order in which your code will execute. Python generally provides features like if-else statements and loops to control the flow of desired programs.
With this section of the Python Tutorial, we will learn about conditional statements and Loops in detail with proper examples.
5. Python Functions
In Python, Functions are generally reusable blocks of code that can perform a specific task based on the requirement. They are one of the most powerful features of Python, that generally enables you to break down large programs into smaller, manageable parts.
6. OOPS in Python
From its early beginning, Python has been an object-oriented language. Object-oriented programming (OOP) is a programming technique that emphasizes the usage of classes and objects. Its goal is to use programming to create real-world concepts like inheritance, polymorphisms, and encapsulation. The basic idea behind OOPs is to combine data and the functions that interact with it into a single entity so that no other parts of the code may touch it. OOP generally organizes your program into reusable units called classes and objects. This makes your code modular, easy to debug, and scalable.
7. Python Data Structures
Python Data structure is like a tool that is used to store, organize, and manipulate data effectively. In Python, there are multiple data structures that are predefined, each suited for specific tasks that make it easy to handle complex and large data.
8. Advance Data Structures
If you are comfortable till now with all the Python concepts and data structures, you can learn these topics and concepts to gain a solid grip on advanced Python data structures:
9. Exception Handling
Exception Handling is one of the most important and useful concepts in Python. Basically, Exception Handling allows you to deal with different types of errors in Python. It generally provides a set of rules and methods that help you to handle any encountered errors easily and prevent the crashing of a program unexpectedly.
Instead of simply terminating the program during errors, Python provides a method to catch and handle the exceptions that generally make the program robust and user-friendly.
10. Python File Handling
File Handling is the type of concept in Python that majorly focuses on how to read, write, and manipulate particular files in Python. It simply ensures efficient data input and output operations. Check out the resource mentioned below that generally helps beginners to understand the file operations in Python.
11. Python Modules and Libraries
As we know Python supports a very wide range of libraries and modules that is quotes useful to handle tasks from data manipulation to scientific computing. Basically, these libraries and modules help to stand out the Python in multiple different fields of technology. Through this section, you will learn about these libraries and modules that help you to boost your productivity and code efficiency. Check out the topics below to understand these in detail:
12. Python Advanced Concepts
If you want to take your Python knowledge to a more advanced level. You should learn these topics to become more proficient in the Python programming language
13. Python Frameworks
Python also supports many different frameworks to develop and create modern web applications and work in the field of Data Science. Basically, Frameworks like Django, Flask, FastAPI, and many more provide pre-built solutions and templates. With the resources mentioned in this section of the Python Tutorial, you will learn to build efficient applications.
14. Python for Specialized Applications
We have discussed that Python is a very versatile language, therefore you can do many different specializations by choosing Python as your primary programming language. In this section, we have provided many domain-specific tutorials that will help you to solve domain-specific problems.
15. Python Career and Learning Resources
With this section, we have compiled many different resources and topics that will help you to navigate your Python journey. By learning Python, you will open a wide range of options for yourself to choose a specific domain for yourself. Check out the below resources that give you information about Python job opportunities, certifications, projects needed, and many more.
Check out this Python Tutorial for Beginners video:
If you still have doubts you can check this Python Course to gain more detailed knowledge of Python.
Comparing Python vs Other Programming
| Feature |
Python |
Java |
C++ |
C# |
| Syntax |
Simple and readable |
Detailed and strict |
Complex and low-level |
Balanced and structured |
| Execution |
Interpreted |
Compiled to JVM bytecode |
Compiled to machine code |
Compiled to CIL |
| Performance |
Slower |
Moderate |
High |
High |
| Typing |
Dynamic |
Static |
Static |
Static |
| Memory |
Automatic (Garbage Col.) |
Automatic (Garbage Col.) |
Manual |
Automatic (Garbage Col.) |
| Platform |
Cross-platform |
Cross-platform (via JVM) |
Platform-dependent |
Primarily Windows |
| Use Cases |
Web, data science, ML |
Enterprise, Android |
Games, systems, hardware |
Windows, enterprise apps |
| Learning Curve |
Easy |
Moderate |
Steep |
Moderate |
| Strengths |
Simplicity, flexibility |
Robustness, portability |
Performance, control |
Windows, .NET integration |
Now let’s compare other programming languages with Python like C, Java, C++, and C#
Career Options in Python
Python offers a wide range of Career Options. Here we have created a table that shows the multiple career options that Python offers and the average compensation for it.
| Career Options |
Average Salary (INR) |
Average Salary (USD) |
| Python Developer |
₹4,00,000 – ₹8,00,000 |
$50,000 – $100,000 |
| Data Scientist |
₹8,00,000 – ₹20,00,000 |
$90,000 – $150,000 |
| Machine Learning Engineer |
₹6,00,000 – ₹15,00,000 |
$80,000 – $140,000 |
| Web Developer |
₹3,50,000 – ₹8,00,000 |
$45,000 – $85,000 |
| Automation Tester |
₹4,50,000 – ₹9,00,000 |
$55,000 – $95,000 |
| DevOps Engineer |
₹6,00,000 – ₹12,00,000 |
$75,000 – $120,000 |
| AI Engineer |
₹8,00,000 – ₹20,00,000 |
$100,000 – $160,000 |
| Game Developer |
₹4,00,000 – ₹10,00,000 |
$60,000 – $110,000 |
| Data Analyst |
₹3,50,000 – ₹7,00,000 |
$40,000 – $80,000 |
| Backend Developer |
₹5,00,000 – ₹12,00,000 |
$70,000 – $120,000 |
Discover Python’s full potential with our comprehensive collection of cheat sheets, covering everything from basic syntax to advanced techniques in one convenient guide!
-
- Python Cheat Sheet
- Pandas Cheat Sheet
- NumPy Cheat Sheet
- Scikit-Learn Cheat Sheet
Python Tutorial – FAQs
Python Tutorial - FAQs
How Do I Start Learning Python?
You can start with basics concepts like syntax, variables, data types, and control flow statements. Practice the learned concepts and then move on further to learn advanced topics like OOPs, Data Structure, Exception Handling, and Python IO.
Can I learn Python in 7 days?
You will get a comprehensive knowledge of Python and its working, but in order to master Python, you need to give it more time and practice harder.
Is Python easy to learn for beginners?
Yes, Python is the most popular programming language among beginners due to its easier syntax and versatile nature to support a wide range of career fields
Is Python better than Java?
Python is simpler and faster for development, while Java offers better performance for large, enterprise-grade applications. Both languages excels in their respective domain.
What are the major applications of Python?
There are many
applications of Python, we use Python in various fields like Web Development, Data Science, Game Development, Web Scraping, AI-ML and Desktop GUI
