Python Tutorial – Learn Python and be above par

Congrats, you have found the best guide to start with Python. This is the initial blog, we recommend you to bookmark this Free 240+ Python tutorials series for future purpose. 

Before we get started, I wanted to know why you are learning Python. Our experts will tell you the best way to learn Python according to your aim. Share through comments. 

Talking about this Python tutorial, here is a quick overview- 

  • What is Python? 
  • History 
  • Constructs
  • Features
  • Frameworks
  • Flavors
  • File Extensions
  • Applications 
  • Python vs Java vs C++

python tutorial for beginners

What is Python?

The Python programming language is an object-oriented language, which means that it can model real-world entities. It is also dynamically-typed because it carries out type-checking at runtime. It does so to make sure that the type of construct matches what we expect it to be. The distinctive feature of Python is that it is an interpreted language. The Python IDLE (Integrated Development Environment) executes instructions one line at a time. This also lets us use it as a calculator.

i. Why is it called Python?

Going into etymology, Guido van Rossum named it after the comedy group Monty Python. That is why the metasyntactic variables (those we will often use to explain code syntax) used here are ‘spam’ and ‘eggs’ instead of ‘foo’ and ‘bar’. A lot of implementations today run version 2.x, but the future belongs to Python 3.x. It is also called ‘Python 3000’ or ‘Py3K’. CPython, written in C, is the most common implementation of Python.

ii. What makes Python so powerful?

Apart from the constructs that Python provides, you can use the PyPI (Python Package Index). It is a repository of third-party Python modules and you can install it using a program called pip. Run the following command in Command Prompt:

pip install library_name

Python or R: To learn the difference between Python and R, please follow Python vs R. For now let us move ahead with the current Python tutorial.

Python History

  • The Python programming language was conceived in the late 1980s and was named after the BBC TV show Monty Python’s Flying Circus. Guido van Rossum started implementing Python at CWI in the Netherlands in December of 1989. This was a successor to the ABC programming language which was capable of exception handling and interfacing with the Amoeba operating system.
  • On October 16 of 2000, Python 2.0 released and it had many major new features including cycle-detecting garbage collector for memory management and support for Unicode.
  • The next version of Python 3.0 released on December 3, 2008.

Now we know how Python came into the picture. So, moving ahead in this Python tutorial, let us jump to Python Architecture.

Python Architecture

Let’s now talk about Python architecture and its usual flow –

i. Parser

It uses the source code to generate an abstract syntax tree.

ii. Compiler

It turns the abstract syntax tree into Python bytecode.

iii. Interpreter

It executes the code line by line in a REPL (Read-Evaluate-Print-Loop) fashion. On Windows, when you want to run the Python interpreter in the shell, you can type the following:


Next in Python tutorial, we discuss some useful Python Constructs to give you a better idea of the structure of Python code.

Python Constructs

i. Functions

A function in Python is a collection of statements grouped under a name. You can use it whenever you want to execute all those statements at a time. You can call it wherever you want and as many times as you want in a program. A function may return a value.

ii. Classes

As we discussed earlier, Python is an object-oriented language. It supports classes and objects. A class is an abstract data type. In other words, it is a blueprint for an object of a certain kind. It holds no values. An object is a real-world entity and an instance of a class.

iii. Modules

A Python module is a collection of related classes and functions. We have modules for mathematical calculations, string manipulations, web programming, and many more. We will discuss Python Module in detail in a later lesson.

iv. Packages

Python package is a collection of related modules. You can either import a package or create your own.

v. List

You can think of a list as a collection of values. Declared in the CSV (Comma-Separated Values) format and delimit using square brackets:

life = [‘love’, ‘wisdom’, ‘anxiety’];
arity = [1,2,3];

Notice that we do not declare the type for the list either. A list may also contain elements of different types, and the indexing begins at 0:

person = [‘firstname’, 21];

Output: 21
You can also slice lists; slicing is a way of retrieving some values from it. We will learn more about it in further lessons.

vi. Tuple

A tuple is like a list, but it is immutable (you cannot change its values).

pizza = (‘base’, ‘sauce’, ‘cheese’, ‘mushroom’);
pizza[3] = ‘jalapeno’

This raises a TypeError.

vii. Dictionary

A dictionary is a collection of key-value pairs. Declare it using curly braces, and commas to separate key-value pairs. Also, separate values from keys using a colon (:).

student = {‘Name’: ‘Abc’, ‘Age’: 21}

Output: 21

viii. Comments and Docstrings

Declare comments using an octothorpe (#). However, Python does not support multiline comments. Also, docstrings are documentation strings that help explain the code.
#This is a comment
This is a docstring
Python has a lot of other constructs. These include control structures, functions, exceptions, etc. We will discuss these in further tutorials.

Now let us learn about the features of Python. Based on these features, you will be able to choose a programming language for your next project.

Features of Python

The Python programming language is one of the richest languages. In this Python tutorial, we will discuss several features of Python:

python features

i. Easy

Python is very easy to learn and understand; using this Python tutorial, any beginner can understand the basics of Python.

ii. Interpreted

It is interpreted(executed) line by line. This makes it easy to test and debug.

iii. Object-Oriented

The Python programming language supports classes and objects. We discussed these above.

iv. Free and Open Source

The language and its source code are available to the public for free; there is no need to buy a costly license.

v. Portable

Since it is open-source, you can run Python on Windows, Mac, Linux or any other platform. Your programs will work without needing to the changed for every machine.

vi. GUI Programming

You can use it to develop a GUI (Graphical User Interface). One way to do this is through Tkinter.

vii. Large Library

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Python provides you with a large standard library. You can use it to implement a variety of functions without needing to reinvent the wheel every time. Just pick the code you need and continue. This lets you focus on other important tasks.

In this Python tutorial, we have provided a short description. You must read them in detail – Python Programming Features

6. Python Frameworks

i. Django

python Django - Open source python projects

Python Django is a free and open-source framework written in Python and is the most common framework for Python. It allows you to create database-driven websites. It follows the DRY Principle (Don’t Repeat Yourself)This is a design philosophy that keeps code simple and eloquent. 

Popular websites like Instagram, Mozilla, and Disqus make use of it.

ii. Flask

flask logo


Like Django, Flask is a web framework written in Python itself. It is a micro framework because it does not need certain libraries and tools. It also does not have form validation or a database abstraction layer. However, you can make use of extensions to add extra features.

iii. Pyramid

python tutorial - pyramid

Pyramid is another web framework. It is neither a mega-framework that would make decisions for you nor a micro-framework that wouldn’t force decisions. It gives you optimal liberty of your project.

iv. Tornado

python tornado

Another open-source web framework, Tornado is written in Python Language. It is noted for its excellent performance and scalability.

v. Bottle

Python bottle logo

Like Flask, it is a micro-framework for Python. It is used for web development. Bottle is known for its speed, simplicity, and lightweight. A single file can run both Python 2.5+ and 3.x.

vi. web2py

python programming - web2py logo

Written in Python, web2py is another open source web framework. It emphasizes on rapid development and follows an MVC architecture. MVC stands for Model View Controller.

vii. NumPy

Python Machine Learning Environment Setup

NumPy is an open-source framework for Python. We use it for scientific computing. It supports large multidimensional arrays and matrices, and functions to operate on them.

viii. SciPy

SciPy is a Python library that you can use for scientific computing. It has modules for linear algebra, interpolation, fast Fourier transform(FFT), image processing, and many more. It uses multidimensional arrays from the NumPy module.

ix. Pylons

python tutorial - pylons logo

This is a deprecated framework, which means it is no longer recommended. It is a web framework and is open source as well. It makes extensive use of third-party tools.

Flavors of Python

Now, let’s take a look at major Python implementations –

i. CPython

This is the most widely accepted implementation of Python. It is written in the language C, and is an interpreter.

ii. Jython

Jython is a Python implementation written in Java. A Jython program can import any Java class. It compiles to Java bytecode.

iii. IronPython

IronPython is implemented in C#. It can function as an extensibility layer to application frameworks written in a .NET language.

iv. Brython

Brython stands for Browser Python. It is an implementation of Python that runs in the browser.

v. RubyPython

It acts as a bridge between the Python and Ruby interpreters. It marshals data between Python and Ruby virtual machines.

vi. PyPy

Interesting to know how PyPy is Python implemented in Python. This makes it faster and easier to experiment with. However, the standard implementation is CPython.

vii. MicroPython

This is an implementation of Python meant to run on a microcontroller. It uses a MicroPython board that runs MicroPython on bare metal.

Let’s move ahead in this Python tutorial and learn file extensions of Python.

File Extensions in Python

  • .py –The normal extension for a Python source file
  • .pyc- The compiled bytecode
  • .pyd- A Windows DLL file
  • .pyo- A file created with optimizations
  • .pyw- A Python script for Windows
  • .pyz- A Python script archive

Python Applications

Python is easy to pick-up even if you come from a non-programming background. You can look at the code and tell what’s going on. Talking of Python applications, some of the cool things that you can do with Python are –

  • Build a website
  • Develop a game
  • Perform Computer Vision (Facilities like face-detection and color-detection)
  • Implement Machine Learning (Give a computer the ability to learn)
  • Enable Robotics
  • Perform Web Scraping (Harvest data from websites)
  • Perform Data Analysis
  • Automate a web browser
  • Perform Scripting
  • Perform Scientific Computing
  • Build Artificial Intelligence

Python isn’t limited to these applications. If you’ve ever used services from brands like YouTube, Dropbox, and Netflix, then you’ve been a consumer of Python. The search-engine Google also made great use of the language in its initial stages.

When writing code in Python, you need fewer lines of code compared to languages like Java. This high-level language is also open-source and free. Going by the TIOBE Index, it is among the major programming languages with the fastest growth. This makes a career in Python a great choice.

To make it clearer about Python, we have covered how it is different from other programming languages like Java or C++.

If you are a beginner and planning to make your career in Python then you must know why Python is in demand

Python Interview Questions

Python vs Java vs C++

python vs java vs c++

Python uses whitespace indentation to delimit code, you don’t need to use curly braces for that. Also, semicolons are optional. It has two correct syntaxes:

a = 7
a = 7;

While Java and C++ are statically-typed, Python is dynamically-typed. You also don’t need to declare the type of a variable; you assign it:


Java is faster by a few seconds, but the difference does not invalidate Python’s advantages over it. Since you can interpret Python, the code is easier to test and debug.

This was all in today’s Python tutorial. Don’t forget to follow the sidebar for proper Python learning.

Summary: Python Tutorial

Let’s conclude this Python Tutorial with a quick revision. Today, we discussed Python and how it came to be. We also took a brief look at its architecture and various constructs. Moreover, we learned about Python frameworks, and its flavors and file extensions. We then discussed a few Python applications and enquired about how it is different from Java. Well, Python is a beautiful language and we wish to empower you to create. Now, what’s next? Here is DataFlair’s another article – Python Environment Setup (Start Practising)

Python certainly is here for the long run. Are you?

Furthermore, if you have any queries, feel free to ask in the comment section.

54 Responses

  1. L. Auslender says:


    • Data Flair says:

      L. Auslender
      Most welcome
      Hope you liked this Python Tutorial. For more articles on Python, keep visiting DataFlair. We will happy to help you.

  2. Chandresh Bhatt says:

    d. Free and Open Source
    The language and its source code are available to the public for free, need to buy a costly license.
    It should be,
    d. Free and Open Source
    The language and its source code are available to the public for free, no need to buy a costly license.

    • DataFlair Team says:

      Hi Chandresh,
      We are happy that our readers trying to interact with us. Thanks for the observation, we have made the necessary changes. Now, you can enjoy the Python tutorial.

  3. thyogigeek says:

    great tutorial ,awwesome ,deep,complete knowledge

    • Data Flair says:

      We are glad that you like our article on Python tutorial. For more Python Learning follow our series of Python Tutorial. You will definitely learn something new in Python.

  4. hayat says:

    you have mention python does not support multiline comments…. is this correct.
    Declare comments using an octothorpe (#). However, Python does not support multiline comments. Also, docstrings are documentation strings that help explain code.

    • DataFlair Team says:

      Hi Hayat,

      It is true that Python does not support multiline comments.
      The PEP8 Style Guide for Python Code suggests that block comments should be such that each line begins with a # and a single space.
      Such a comment applies to some or all code that follows and should be indented to the same level as that code.
      When a block comment holds paragraphs within it, you should separate paragraphs by a line holding a single #.

      Some would say you can use triple quotes for multiline comments in Python. This would work, but is misleading.
      The interpreter would treat it as a regular string. Triple quotes are what we use for docstrings.

      For more on comments and docstrings, refer to Python Comments.


  5. Venkat says:

    Very well structured. Learnt and enjoyed a lot.

    • Data Flair says:

      Thank You for your appreciation. This Python tutorial is specially designed for Python beginners by Python Experts. Although you enjoyed Python Tutorial, we recommend you to read more Python Articles. Surely, you will enjoy them also.

  6. Dr.N.Gunalan says:

    Very nice introduction

  7. Krutarth Pujara says:

    At the end of every article withing a tutorial, there should be a next button that can take us to the next page and a previous button too.

    • Data Flair says:

      Krutarth, thanks for commenting on our Python Tutorial and giving us such a wonderful suggestion. We are working on it. Till then, you can check the next and previous blogs with the help of the sidebar provided on the top left corner. Hope this will help you check all the blogs related to Python Technology.

  8. nisha says:

    Great stuff, just great,
    After reading this post, even a non-programmer might jump on to learning Python. 🙂 Anyways, I’m completely convinced with the points mentioned by the author. And in my views, the most striking point about Python is its clean and easy-to-use coding syntax. Thank you for sharing

    • Data Flair says:

      Indeed. The conciseness and simplicity of Python, besides its powerfulness, are what make it so popular among first learners.
      Well, thank you so much, Nisha for giving such a fab review on our Python Tutorial. If you like our blog, then you must visit the next blog in Python. We will help you to cover all Python topics with the same quality of learning material. You can check more Python blog on our site.
      Giving you a link, for moving a step ahead with Python

  9. Subir Dutta says:

    Data Flair has provided a very high quality contents for learning technologies.
    The contents are much better than paid tutorials.
    A very big thank you and regards to the team.
    Subir Dutta

    • Data Flair says:

      Hii Subir
      Thank you for complimenting Data Flair. We are sharing all this stuff just for our readers. We have collected all this Python content from different sources, checked this twice before publishing it so that our end user won’t face any problem. Your feedback on Python Tutorial means a lot to us. You can check more Python blogs on our website, surely you will enjoy them too.
      Best wishes from Data Flair.
      Keep Reading, Keep Learning

  10. Hari Krishnan says:

    Amazing Website to create wonders!

    • Data Flair says:

      Thanks a lot, Hari,
      We hope you learned all the Python basics with this Python Tutorial and surely you want to explore more in Python. We have published a series of Python which is completely free for our readers. Definitely, you will get more new things. We recommend you to check this Python new Python Applications –
      Read our more latest Python article, and share feedback again.
      All the very best

  11. Bineeta Parmar says:

    Thanks for sharing. As in a part of Python Development services, it gives me more encouragement to work further with more enthusiasm.

  12. Ketan Dixit says:

    Very good introduction to python

  13. Jimmy says:

    I don’t see Categories of Python Tutorial as I have ever seen

  14. Robert says:

    Thank you.

    • DataFlair Team says:

      Thanks Robert for leaving a comment to us.
      We can see that you enjoyed our Python Tutorial. We have many more interesting Python topics for you. I recommend you to check them as well.
      Regards from DataFlair

  15. DataFlair Team says:

    Hi Jimmy
    Thank you for sharing your complaint. You would have noticed we have been undergoing some changes. We’re striving to bring our readers a whole new GUI to aid their learning. Somewhere in the process, the sidebar had to be compensated. We have brought it back to life and we hope you face no further issues with the platform. If any, though, do let us know and we will get back to you.
    Check out our latest blogs and keep providing valuable feedback
    DataFlair Team

  16. Ajay Agrawal says:

    Best explanations I ever saw till now. I would like to be the part of it, if it is possible.

  17. Ajay Agrawal says:

    I never got better explanation then here. Keep it up and up. Rise like storm and be progressive….

    • DataFlair Team says:

      Hi Ajay,

      We feel glad when our loyal readers appriciate us. We always strive to bring you even better content.
      Every feedback helps us to motivate in our work.



  18. nikhil says:

    Nice informatoin about python.Can u please suggest project ideas…

    • DataFlair Team says:

      Hi Nikhil,
      Thanks for the positive feedback. Soon, we will provide the Python Project ides list. Till keep learning Python.

  19. Ghazi Salahuddin says:

    A perfect way to explain the basic of Python. It’s really helpful for beginners. Please provide some video tutorials and projects for learning…

    • DataFlair Team says:

      Hi Ghazi Salahuddin,
      Thanks for the appreciation and suggestion for Python Tutorial. We are planning for the Python video Tutorial and project ideas. Soon, we will come up with them, till keep exploring DataFlair.

  20. Mani says:

    Really it’s a Good Python tutorial for beginners, Thank you so much.

    • DataFlair Team says:

      Thanks Mani, for the comment to Python tutorial. Our team continuously work for the reader like you. We have a complete list of python tutorials for the beginners to the expert.
      Hope, you are referring them too.
      Keep learning and keep exploring DataFlair

  21. Yash says:

    Hey! it’s just an amazing basics explanation on Phthon.
    Thank you.

    • DataFlair Team says:

      Hello Yash,
      We are glad that our loyal reader like our Python tutorial and appreciating us. Hope, you are referring our Python interview questions too.
      Please share this tutorial for your peer groups.

  22. Rita sharma says:

    It’s a very informatics python tutorial. I would like to use this information in my projects.
    Keeping sharing such Blogs they help us in boosting our knowledge!!
    Thanks again!!

    • DataFlair Team says:

      Thanks for the wonderful feedback for “Python tutorial for beginners”. All Python tutorials are specially designed by an expert. We are glad readers are like them too. We have 100+ Python tutorial, please refer our sidebar.
      It will help with your next project.

  23. Mohit Jain says:

    It’s just an amazing explanation on Python introductory concepts.
    Thank you so much.

  24. Lee says:

    it is just an amazing explanation on python introductory concepts, thank you so much for sharing.
    Python is quite popular, I am learning python from your platform.

    • DataFlair Team says:

      Hey Lee,
      We are glad our readers like our content. Python is one of the popular languages used for Data Science. You can learn Python from our free Python tutorials series or you can enroll for our Python course. For more details, visit Python Course from DataFlair Hope, you will give us a chance to make your career better.

  25. VENKATA says:

    All the tutorials are awesome.

    Could you please add “Selenium with Python” tutorials.

    Many Thanks

    • DataFlair Team says:

      Hello Venkata,
      Thanks for connecting with DataFlair. We are glad our readers trying to interact with us through this Python tutorial, soon we will publish Selenium with Python article. Stay connected with us!

  26. Kapil Sharma says:

    Is it better to learn only python to get a good job, instead of learning so many languages??

    • DataFlair Team says:

      Hey Kapil,
      Yes, you can get a good job with a great salary package with just Python. Today, the demand for Python is increasing day by day, and the supply of good developers is less. So, it’s high time to learn Python and DataFlair will help in that. We are offering a Python Course which will help you to master this language

  27. Fay says:

    is there any material that can be download on Tutorial?

    • DataFlair Team says:

      Hey Fay,
      You can access all Python tutorials from our sidebar but can’t download them. If you are interested to learn Python for your career, DataFlair is offering a Python course in which you can download all the material and work on different projects. For more information please visit our Python Course

  28. bob says:

    I rlly cba to read dis

  29. swaroop saha says:

    Wonderful Tutorial. ButI have one doubt, if Python has so many advantages why dataflair’s course of hadoop and spark developer is not in python? Why I have to learn java for mapreduce & scala for spark?

  30. R Varadarajan says:

    Great introduction. I am sure the future chapters are simple , as well. I am totally new to machine language – but confident , I can cope !

    • DataFlair Team says:

      We always design the tutorials according to the newbies. Don’t worry, the level of difficulty of articles will increase gradually and you will definitely be able to master the Python programming language by completing our Python tutorial series.

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