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Python Tutorial for Beginners: Step-by-Step Guide

370+ Python Tutorials, Practicals, Quizzes & Real-time Projects, along with a free course & certification

What is Python?

Python is a general-purpose, object-oriented, high-level programming language. It is interpreted and dynamically-typed. Its readability along with its powerful libraries have given it the honor of being the preferred language for exciting careers like that of a data scientist or a machine learning engineer. Python is also often chosen as the language to introduce students to programming in schools and universities. This Python tutorial package helps you to learn Python from scratch and you will become a master of Python soon.

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Getting Started with Python Programming

Check out these Python tutorials and step up for becoming the next Python professional. Choose where to begin, learn at your own pace:

tutorial for beginners

Object Oriented Programming in Python

Object Oriented Programming – Reuse the piece of software that’s already been written

Play with Python Operators

Operators make our life easy while implementing complex logic

Python Functions

Use functions: built-in functions to use the existing funcationalities, write new functions to develop new ones

Python Applications

Being a general purpose programming language, Python let’s you develop anything and everything from desktop to web app, from science & maths to data science, from media to robotics, it’s an unending list

Python Comparison Guides

How & why Python is best as compare to other languages and frameworks

Python Infographics

It’s not what you know, It’s how fast you can learn – Quickly understand the concepts with pictorial representation

intermediate level python tutorials

Python Frameworks & Libraries

Framework is a collection of packages and/or modules that allow us to write Web applications without any need to handle low-level protocols

Python OpenCV

Now Machines are capable of processing images and videos to detect faces, identify (and track) moving objects, classify human actions, color detection, pattern recognition and many more

python projects
Work on real-time Python projects and grab top jobs in the industry

Advanced Python Projects

Enough of basics, it’s time to work on live real-time projects
If you want to master Python, then it is crucial to work on live python projects and solve real-world problems

Python Interview Questions

Crack Your Next Python Interview
Want to make it through the next interview you will appear for? Hone your skills with our three-part series of Python interview questions widely asked in the industry. With basic to advanced questions of Python, this is a great way to expand your repertoire and boost your confidence.

Python Quizzes

Test your Python knowledge with interactive quizzes

Python Tutorial Infographic

Python Tutorial Infographic

Python Tutorial – Exploring the Python Language

Let’s take a look at some facts about Python programming and its philosophies.

Python History

Python first appeared in 1990 as a hobby project. Then came along Python 2.0 on 16 October 2000, and Python 3.0 followed on December 3, 2008, after a long period of testing. What we recognize today as Python finds its etymological origins in his penchant for Monty Python’s Flying Circus, a British sketch comedy from 1969.

While the community dubs Guido the Benevolent Dictator For Life (BDFL), he permanently resigned from this post on July 12, 2018.

Python BDFL Guido Van Rossum

Guido Van Rossum

Python Quotes

“The fun of coding Python should be in seeing short, concise, readable classes that describe a lot of action in a small amount of clear code — not in reams of trivial code that bores the reader to death.” Guido van Rossum, Founder of Python

“Everyone knows that any scripting language shootout that doesn’t depict Python as the best language is faulty by design.” Max M

“The canonical, “Python is a great first language”, elicited, “Python is a great last language!” Noah Spurrier

“Python has been an essential part of Google since the beginning and remains so as the system grows and evolves. Today many Google engineers use Python, and we’re looking for more people with skills in this language.” Peter Norvig, Search Quality Director at Google

“Python is fast enough for our site and allows us to generate maintainable features in record times, with a minimum of developers.” Cuong Do, Software Architect at YouTube

Python Facts

  • Python is a fully packed war machine with its applications in all domains. It’s used in web development, data science, machine learning, networking, scripting, automation, web scraping, game development, scientific and numeric calculations, 3D graphics, robotics, etc.
  • In GitHub’s State of the octoverse annual survey reports, Python overtook Java to become the most popular language.
  • Python has large community support, many developers and people learning on their own support each other and continuously contribute to the development of Python.
  • Google has been supporting Python from the beginning. It has integrated Python in its workflow and Python is also called as the official language of Google.

Python Features

In this Python tutorial, let’s see some of the interesting features of Python:

  • Easy to read, write and learn – Python is a beginner-friendly language because of its simplicity. Python is easier to read, write and learn than other general programming languages.
  • Free and open-source – Python is freely available to download and open-source, which means you don’t need commercial license to use it in the projects.
  • Dynamic typed – Python is an interpreted language and the data type of Python is decided during the runtime and not at compile time. We don’t have to declare the data type for each variable.
  • Portable – Python is highly portable, you don’t have to change the code in order to shift your program from one operating system to another.
  • Large standard library – Python standard library comes with lots of implementations so you don’t have to write code for every task. The standard library comes packed with libraries for regular expressions, documentation, unit-testing, web browsers, threading, databases, emails, image manipulation, etc. We have added all the relevant links in this Python tutorial to study all Python constructs.

Where is Python used?

Python is a general-purpose programming language and it is used in a wide range of applications in almost every technical field.

  • Application Development
  • Desktop Applications
  • Web Apps
  • CLI Applications
  • Standard Software Development
  • Machine Learning
  • Deep Learning
  • Data Science
  • Artificial Intelligence
  • Computer Vision
  • Natural Language Processing
  • Internet of Things

Why You must Learn Python

Python is the most popular programming language on the planet, and for good reason. It’s versatile, easy to learn, and widely used in various industries, from software development to data analysis and scientific computing. Learning Python opens up opportunities for you, both in your career and personal projects.

First and foremost, Python is an in-demand skill. Companies, from startups to large corporations, are looking for developers who know Python. Python is a general-purpose & easy-to-use programming language that can be used to build everything from web applications to machine learning models, making it a valuable skill in today’s job market.

But learning Python isn’t just good but a great way to fuel your passion for technology and problem-solving. Even if you have no prior coding / programming experience, you can quickly learn the basics and start building your own projects.

Python is also widely used in data science, scientific computing, machine learning, data analysis, and artificial intelligence. Most of the machine learning libraries are available in Python. With Python you can easily process and analyze large data sets, create visualizations, and even build your own machine learning models. This makes Python a powerful tool for researchers and data scientists.

Finally, Python has a strong and supportive community. There are countless resources available online, including tutorials, documentation, and forums where you can ask for help and share your projects. This makes it easy to find the support you need to learning and growing as a Python professional.

In short, learning Python is a smart move for anyone looking to improve their career prospects, fuel their passion for technology, or take their research and data analysis to the next level. With its versatility, ease of use, and strong community, Python is a language that is definitely worth learning.

Python Frameworks

Frameworks let developers automate redundant tasks. This allows users to focus on application logic rather than the routine elements. Let finish this python tutorial with some of the popular frameworks of Python:

  • Django – Django is one of the most loved full-stack frameworks for web development. It follows the DRY(Don’t Repeat Yourself) principle and offers rapid development.
  • Flask – Flask is a microframework for web-based applications well suited for easy and small projects.
  • Robot framework – Robot is an open-source testing framework for test-driven development. It’s an extensible keyword-driven automation framework for acceptance testing.
  • Tornado – The tornado framework is mainly built to handle asynchronous programming. It is highly scalable due to non-blocking system which was inspired by the node.js
  • CherryPy- CherryPy is an object-oriented Python framework which is a non-full stack web framework. It is used to provide CRUD functionalities for applications and helps in managing projects.

Zen of Python

20 software principles inspire the design of Python; in June of 1999, Tim Peters articulated 19 of those. As an easter egg, you can find this in the interpreter by entering import this.

python zen