Python Tutorial

This Python tutorial for beginners provides complete overview of Python. Explorer Python features, Python syntax, python applications, python projects. You will also get 270+ free python tutorials to learn python from scratch. Go from zero to hero with this python tutorial

1. What is Python?

Python has quickly become a favorite- it’s being taught in universities, and also being used for everything from scripting and web development to machine learning and data science. But what is Python?

Python is a general-purpose programming language that is interpreted, object-oriented and dynamically-typed. Guido Van Rossum, its BDFL (Benevolent Dictator For Life), named it over the British comedy group Monty Python. The implementation we widely use is CPython (written in C). Python has powerful frameworks and libraries. You can install these libraries with pip, and find them in PyPI (Python Package Index).

Before proceeding ahead it is recommended to refer: 240+ Free tutorials to master Python

2. Why Learn Python?

There is more than one reason why you should learn this language:

Top 7 reasons why you must learn python

3. What is it used for?

Python is a general-purpose language, but is used almost everywhere:

4. Is Python Easy to Learn?

Python is definitely easy to learn, that is why python is taught to university students- to create interest in programming. You can gain expertise in python with this free python tutorial. Python is:

5. How to Learn Python?

Want to learn Python and build a career in it? We have laid down steps to help you:

Top Python Books

These are some books you should read to improve your Python skills:

6. Basics of Python for beginners

a. Python Basic Constructs

Let’s first see what Python looks like.

b. Python Features

Let’s discuss some features of Python now.

Unique features which make Python most popular programming language on the planet

c. Concepts to learn Python

Let’s talk about the important concepts you should learn in Python.

d. Flavors of Python

Python has more than one implementation. We use CPython, others are:

e. File Extensions

Python files may have one of the following extensions:

7. Python Syntax

To learn about variables, operators, and other topics, refer to the links above. Here, we will talk about the syntax of Python code.

While you learn Python, you will use an IDE (Integrated Development Environment) to run the python code. You can choose one or more of the following. Here, you can write, edit, test and debug code. It has build automation, code linting, testing, and debugging. This speeds up your work.


Pricing: Free IDLE comes with Python. It is lightweight and simple.

b. Sublime Text 3

Pricing: Freemium Sublime Text 3 is a popular code editor and also supports other languages. It is fast, customizable, and has a large community. It has packages available for debugging, auto-completion, and code linting,etc. for Python, Django, Flask, and scientific development.

c. Atom

Pricing: Free Atom is an editor by GitHub and is open-source. It is customizable and has packages like autocomplete-python, linter-flake8, and python-debugger.

d. Thonny

Pricing: Free Thonny is an IDE you can install. It has a very simple UI for beginners, but also has many useful features like syntax error highlighting, debugging, code completion, and step-through expression evaluation.

e. PyCharm

Pricing: Freemium PyCharm is not for beginners. It is created by JetBrains and has two versions- Community and Professional. It has features like code completion, code inspections, error-highlighting and fixes, debugging, version control system and code refactoring. However, PyCharm is resource-intensive.

f. Visual Studio Code

Pricing: Free VS Code is a free and open-source IDE by Microsoft. It has features like intelligent code completion, linting for potential errors, debugging and unit testing, and you can add extensions. It is also lightweight.

g. Vim

Pricing: Free The VIM text editor comes preinstalled in MacOS and UNIX, and is available for Windows. It has keyboard shortcuts and is extendible. It also has plugins for syntax highlighting, code completion, debugging, and refactoring.

h. Spyder

Pricing: Free This is an open-source IDE and can be installed with Anaconda. It has features like autocompletion, debugging, and iPython shell.


Pricing: Free This is an online compiler- you don’t need to install Python and set up an environment with this. It also has support for other languages.

j. JupyterLab

Pricing: Free JupyterLab is the next-gen UI for Project Jupyter. It has all the building blocks of the Jupyter Notebook, like notebooks, terminal, text editor, file browser, and rich output. The UI is flexible.

k. Eclipse + PyDev

Pricing: Free PyDev is a Python IDE for Eclipse. Using the PyDev plugin with Eclipse, we can develop for Python.

9. How Long Will it Take to Learn Python?

Python is an easy language to learn and has a smooth learning curve. Learning the basics will not take much time, you can learn python basics with this python tutorial. You will need to practice as you learn. The more you practice, the better you are at it. You will need to build projects as well. Once you have followed the steps mentioned above, you can say you know Python. So how long it will take depends on you.

10. Which Libraries Should I Learn?

Python has over 198,495 projects in the PyPI. Which of those packages (and the built-in ones) should you learn? Here are a few names:

11. Which Python Projects Should I Develop?

Building a python project will strengthen your basics and help you figure out what you don’t know.

You can also build a project to solve a real problem you face or faced earlier.

12. Should I Go for the Python Certification?

There is no official certified exam for Python. DataFlair offers an excellent certification program for Python. This has more than 20 hours of video-based sessions, tons of practicals, and 5 exciting projects to build- with complete source code!

13. Python Interview Questions

You are now ready to answer crack Python interview at any level- beginner, intermediate, or advanced. You can also do this after any of the previous steps. Refer to these questions- these are questions of all difficulties- beginner, intermediate, and advanced. They also have some open-ended questions.

Python is the second-most loved language and the most-wanted language according to the StackOverflow Developer Survey for 2019. It seems to have a good future with stable jobs. Also, the jobs pay well. Here are the profiles you can go for if you learn Python:

And here are the salaries:

Python is at #3 on the TIOBE Index for September 2019. Job boards like Naukri and Indeed post more than 16000 to 24000 jobs for Python. Right now, there is a high demand, but low supply. This is a great opportunity for you. There is a large number of jobs per Python programmer.

15. Python for Machine Learning

One reason why Python is so popular is its libraries. We have many libraries geared toward data science and machine learning. These have tools and functions/methods for trivial tasks so we don’t have to implement everything from scratch. You should learn to work with the following libraries:

What Next

16. Companies Using Python

Many giant companies use Python for their products and services. Some of these are:

17. Case Studies - Python

a. Python at Netflix

Netflix uses Python for data analysis and its backend services. It is how it recommends new titles. Netflix also uses Python to build custom extensions to the Jupyter server. This can be used to manage tasks like logging, archiving, publishing and cloning notebooks. Netflix uses the statistical and numerical libraries like numpy, scipy, tuptures, and pandas. It also uses Python for automation, data exploration, and visualization. It implements demand engineering, insight engineering, Open Connect Network, Information Security, an ML infrastructure, Notebooks, a Partner Ecosystem, and Animation and NVFX.

b. Spotify

Like Netflix, Spotify uses Python for data analysis and backend services. It uses ZeroMQ for backend communication- this is an open networking framework written in Python and C++. Python allows fast development. Also, Spotify uses it for data analytics to create suggestions and recommendations. It also uses Luigi for synchronization with Hadoop. This lets it create “Radio and Discovery”.

c. Quora

Quora is a social networking platform with questions and answers. They considered many languages before choosing Python because it has no type checking, and is slow. They rejected C# because the Microsoft Language is proprietary. Java has strict syntax, so it was rejected. So, like Google, Quora chose Python for its ease of writing and readability. They solved the problem of type checking by writing unit tests. They also liked the frameworks for Python- Django and Pylons. It was also easier to club Python and JS for handling user interactions.

d. Facebook

Facebook extensively uses Python. The libraries and frameworks reduce the code-load and focus on improvements. Facebook used Python for multiple services in infrastructure management, and made it scale-efficient. It also published Py3 written projects, including Facebook Ads API and a Python async IRC bot framework.

e. Google

Google has been using Python since the beginning. They decided to implement Python for ease of maintenance and faster delivery than C++. They also recoded some Perl or Bash scripts into Python. Python is the official Google server-side language at Google. Peter Norvig, and American computer scientist, said “Python has been an important part of Google since the beginning and remains so as the system grows and evolves. Today, dozens of Google engineers use Python, and we’re looking for more people with skills in this language.”

This was the A-Z of Python. In this python tutorial we tried to cover complete overview of Python you could want to know. We discussed Python, its syntax, why and how to learn python, a short tutorials, some libraries, python projects, python interview questions, its future, Python for Machine Learning, companies and some case studies.

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