Introduction to Python – Learn Python Programming

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Welcome to the World of Python – The Most Powerful and Popular Programming Langauge

Are you ready to be a Python Pro – Learn the Essentials of the Python Programming Language. Our Python introduction guide is your secret weapon to success. Not only will you learn the basics of Python syntax, but you’ll also gain a deep understanding of the language and be able to easily create your own programs.

Here is a quick overview of what you are going to learn today in this Python Introduction- 

  • What is Python
  • Python History 
  • Features of Python
  • Applications of Python
  • Architecture and Working of Python
  • Python Constructs

What is Python?

Python is a General Purpose object-oriented programming 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.

Why is it called Python?

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’.

History of Python

History of Python

 

  • Python 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 with many new features.
  • Then Python 3.0 was released on December 3, 2008.

Why Learn Python?

Python is the “most powerful language you can still read”, Says Paul Dubois

Python is one of the richest Programming languages.

Going by the TIOBE Index, Python is the Most Popular Programming Language in the world.

This makes a career in Python a great choice.

Python Features

Let us now see various features of Python that make it so powerful and popular:

Python features

 

a. Easy

Python is very easy to learn and understand; any beginner can learn Python easily. When writing code in Python, you need fewer lines of code compared to languages like Java.

b. Interpreted

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

c. Object-Oriented

The Python programming language supports classes and objects and hence it is object-oriented.

d. 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.

e. Portable

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

f. GUI Programming

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

g. Large Python Library

Python provides you with a large standard library.

You can use it to implement a variety of functions without the need to reinvent the wheel every time. Just pick the code you need and continue.

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

Applications of Python

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 are –

  • Build a website using Python
  • Develop a game in Python
  • Perform Computer Vision (Facilities like face-detection and color-detection)
  • Implement Machine Learning (Give a computer the ability to learn)
  • Enable Robotics with Python
  • Perform Web Scraping (Harvest data from websites)
  • Perform Data Analysis using Python
  • Automate a web browser
  • Perform Scripting in Python
  • Perform Scientific Computing using Python
  • 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 this language in its initial stages.

Python Architecture and Working

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

a. Parser

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

b. Compiler

It turns the abstract syntax tree into Python bytecode.

c. Interpreter

It executes the code line by line in a REPL (Read-Evaluate-Print-Loop) fashion.

Python Constructs

a. Functions in Python

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.

b. Classes in Python

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.

c. Modules in Python

Python module is a collection of related classes and functions.

We have modules for mathematical calculations, string manipulations, web programming, and many more.

d. Packages in Python

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

Python has a lot of other constructs. These include control structures, functions, exceptions, etc.

Interested in learning python in detail? Just follow the sidebar and learn Python completely.

Python Interview Questions for Beginners

Below are some of the frequently asked Python Interview questions:

  1. How does Python get its name?
  2. What are the Features of Python that make it so popular?
  3. Define Modules in Python?
  4. What is the difference between List and Tuple in Python?
  5. Compare Python with Java

Summary

This was all about Python introduction where you learnt what is python, why python is so powerful, what are the applications of Python and basic architecture and constructs of python.

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112 Responses

  1. L. Auslender says:

    thanks.

    • Data Flair says:

      L. Auslender
      Most welcome
      Hope you liked this Python introduction. 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 introduction.
      Regards,
      DataFlair

  3. thyogigeek says:

    great material ,awesome ,deep, complete knowledge

    • Data Flair says:

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

  4. hayat says:

    Hi,
    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.

      Regards,
      DataFlair

  5. Venkat says:

    Very well structured. Learnt and enjoyed a lot.
    Thanks

    • Data Flair says:

      Venkat
      Thank You for your appreciation. This Python introduction is specially designed for Python beginners by Python Experts. Although you enjoyed Python material, 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, 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 introduction 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 introduction. 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
      https://data-flair.training/blogs/python-career-opportunities/

  9. Subir Dutta says:

    Data Flair has provided very high-quality content for learning technologies.
    The contents are much better than paid courses.
    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 introduction article 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 introduction 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 –
      https://data-flair.training/blogs/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 introduction. 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.

    • DataFlair Team says:

      We are immensely grateful for your incredibly kind words. Our team is dedicated to delivering the best possible explanations for our content. If you are interested in becoming part of the DataFlair community, we kindly request you to share our free courses with as many people as possible. Our mission is to provide free education to everyone (including the last person in the society), and by providing the free education, we will consider you an integral part of our mission.

  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.

      Regards,

      Data-Flair

  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.
      Regards,
      DataFlair

  19. Ghazi Salahuddin says:

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

    • DataFlair Team says:

      Hi Ghazi Salahuddin,
      Thanks for the appreciation and suggestion for Python introduction. 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 introduction for beginners, Thank you so much.

    • DataFlair Team says:

      Thanks Mani, for the comment to Python introduction. Our team continuously work for reader like you. We have a complete list of python material for 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 introduction and appreciate us. Hope, you are referring our Python interview questions too.
      Please share this with your peer groups.
      Regards,
      DataFlair

  22. Rita sharma says:

    It’s a very informative python introduction. 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 for beginners”. All Python articles are specially designed by an expert. We are glad readers are like them too. We have 300+ Python tutorials, please refer our sidebar.
      It will help with your next project.
      Regards,
      DataFlair

  23. Mohit Jain says:

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

    • DataFlair Team says:

      We greatly appreciate your positive feedback! It brings us joy to hear that you found the lecture informative. Knowing that our efforts are valued is truly rewarding. Additionally, we would like to invite you to explore our Python projects. Please take a moment to check them out.

  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 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 materials 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 introductory guide, 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 downloaded?

    • 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 explanation. 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 material 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 series.

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