Python Tutorial for Beginners

Python tutorial is a widely used programming language which helps beginners and professionals to understand the basics of Python programming easily.

Python is a high-level, easy, interpreted, general-purpose, and dynamic programming language. It supports object-oriented programming approach. It is straight forward to learn, and its elegant syntax allows programmers to express concepts in fewer lines of code as compared to other languages such as C, C++, or Java.

It has excellent data-structure, which makes it a unique language for scripting and application development on most platforms.

Python is a platform-independent language, which means a Python program can run on any operating system like Windows, Macintosh, Linux, etc.

Python runs on an interpreted system, which means that code can be executed line by line.

Python is a dynamically typed, so we don’t need to declare the data type of variable such as x=20 assigns an integer value to an integer variable.

In Python, development and debugging is fast because there are no compilation steps included in Python development, and edit-test-debug cycle is also very fast.

A Brief History of Python

The implementation of Python was started in the late 1980s by Guido van Rossum as a member of the National Research Institute of Mathematics and Computer Science in Netherland. Its first version was released on February 20, 1991.

The Python concepts have taken from the ABC programming language. ABC is a general-purpose programming language, and the greatest achievement of ABC was to influence the design of Python.

ABC programming language is known as predecessor of the Python language. ABC was capable of Exception Handling and interfacing with Amoeba Operating System.

Fact about choosing a name: The inspiration for the title came from BBC’s popular TV Show – ‘Monty Python’s Flying Circus,’ as Guido van Rossum was a big fan of the TV show. He wanted a short, unique and little bit mysterious name for his invention and hence he named it Python.

  • In 1994, Python version 1.0 was released with new features like map, filter, and reduce.
  • Python 2.0 was released on Oct 2000 with new features like list comprehension and garbage collection system.
  • Python 3.0, also known as “Py3k” was released on December 3, 2018, with new features. For example, in Python 2.x, “print” is a statement. In 3.x “print()” is function.

Python 2.x

Python 3.x

Usage of Python

Python is used by many programmers and used in various fields. Most of the time, it is used to perform any complicated task in a much easier way than other programming languages.

When Python is installed, it comes up with the many powerful libraries which made up of many functions.

There are many libraries available on the internet that makes it possible to do complicated tasks more straightforwardly.

These standard libraries make it a powerful programming language.  Python is widely used in the following fields:

  • Web development,
  • Software development,
  • Machine Learning,
  • GUIs based applications,
  • Network programming,
  • Game development,
  • Mathematics
  • Artificial Intelligence
  • Data Science

Why Python?

Here are some reasons why Python is the most popular language these days:

uses of Python | why python

Python provides rich libraries:

Python provides vast standard libraries that include areas like machine learning, mathematics, web service tools, operating system interfaces, and protocols. 

Python is Open Source language:

Python is freely available at its official site ( Anyone can download Python from its official website

Easy to use:

Python is very easy to learn and easy to use. It is a user-friendly language. It uses  a few lines to express the code as compared to other languages.

For example- Suppose you want to print “Hello world” in java, code will be

In Python, it can be done by using one statement.

The output will be the same in both codes, but in Python, it takes only one line.

Frameworks and Libraries

Python provides various frameworks for different development fields. There are some popular frameworks given below:

  • Web development (Server-side): Django is the most popular web development framework of Python. Flask, Pyramid, CherryPy, and others are also used for development.
  • GUIs based applications:  Tk, PyGTK, PyQt, PyJs, etc
  • Machine Learning: TensorFlow, PyTorch, Scikit-learn, Matplotlib, etc
  • Mathematics: Numpy, Pandas, etc.

Object-Oriented Approach

Python supports object-oriented programming approach. In object-oriented programming, OOPs concepts are based on creating reusable code and solve programming problems by creating objects. These concepts are also known as DRY (Don’t Repeat Yourself).

In Python, OOPs concepts are given below:

  • Classes
  • Objects
  • Inheritance
  • Polymorphism
  • Encapsulation

We will learn these concepts in Python OOPs tutorial.


Python is extensible, which allows invoking C and C++ library, and you can combine JAVA as well as .NET components.              


Python is a portable language. For example, we have Python program for windows, and we want to run this code on other platforms such as Mac, Unix, Linux, then we do not need to change the code, we can run it on any platform. In this tutorial, we have covered a brief introduction to Python. Python is a very popular language and nothing wrong to say that it is the next generation language

Python Topics

Python Functions and Methods


  • What is Python used for
  • What is Anaconda Python
  • Multiple Line Comment in Python
  • Python Certification
  • Python Counter
  • Python Libraries
  • Best Python Book
  • Python Meaning | Python Definition
  • Python Global Variable
  • Python Open File
  • Python Script
  • Python Ternary Operator
  • Python self
  • Python vs Java
  • Web Scraping Python
  • Python Assert
  • Python Def
  • Top 10 Online Python Compilers / Editors
  • Top 10 Python Frameworks
  • Python Modulo
  • Python Packages
  • Python Syntax
  • Python uses
  • Python Bitwise Operators
  • Python Command Line Arguments
  • Python JSON
  • Identifiers in Python
  • Matrix Multiplication Python
  • Python AND Operator
  • Python OR Operator
  • Python XOR Operator
  • Python Logical Operators
  • Python Multiprocessing
  • Python New Line
  • Python Subprocess
  • Python Unittest
  • Python Virutal Environment
  • __init__ in Python
  • Advantages of Python
  • is Python case sensitive when dealing with identifiers
  • NLTK Python
  • Python Boolean
  • Python Call Function
  • Python History
  • Python Image Processing
  • Python KeyError
  • Python Main Function
  • Permutation and Combination in Python
  • Difference between Input() and raw_input() functions in Python
  • Sentiment Analysis Python
  • Type Casting in Python
  • Celery Python
  • Collections in Python
  • Conditional Statements in Python
  • Confusion Matrix Python
  • Decimal to Binary in Python
  • Binary to Decimal in Python
  • Escape Sequence in Python
  • Literals in Python
  • Nested For Loop Python
  • Nested List Python
  • Operator Overloading in Python
  • Print Statement in Python
  • Python Algorithms
  • Python Attributes
  • Python Commands
  • Python Data Visualization
  • Python Debugger
  • Python DefaultDict
  • Python Enum
  • Python Glob
  • Python Histogram
  • Python Modules List
  • Python Not Equal
  • Python Null
  • Python Raise Exception
  • R vs Python
  • Static Method in Python
  • Static Variable in Python
  • Who Developed Python
  • Anaconda vs Python
  • Difference between Python 2 and 3
  • Heatmap Python
  • Is Python Case Sensitive
  • Method Overloading in Python
  • Pointers in Python
  • Python Arithmetic Operators
  • Python Design Patterns
  • Python Developer Salary in India
  • Python File Operations
  • Python Memory Management
  • Python XML Parser
  • Tic Tac Toe Python
  • Assignment Operator in Python
  • Indentation Error in Python
  • Is Python Object Oriented
  • Python yield
  • Python return
  • Python del
  • Python Operator Precedence
  • Python Project Ideas
  • Python Deep Copy and Shallow Copy
  • Python Division
  • Python exit commands: exit(), quit(), sys.exit(), os._exit()
  • Python HTTP Server
  • Python **kwargs
  • Python NameError
  • Python Parser
  • Module Not Found Error in Python
  • SSL Module in Python is not available
  • Difference between Package and Module in Python

How to

  • How to reverse a string in Python
  • How to run Python Program
  • How to take input in Python
  • How to check Python version
  • How to install Python in Windows
  • How to install Python in Ubuntu
  • How to install PIP in Python
  • How to call a function in Python
  • How to convert list to string in Python
  • How to download Python
  • How to check Python version in cmd
  • How to convert string to int in Python
  • How to convert int to string in Python
  • How to define a function in Python
  • How to install numpy in Python
  • How to install pandas in Python
  • How to comment multiple lines in Python
  • How to create a file in Python
  • How to create a list in Python
  • How to create virtual environment in Python
  • How to declare array in Python
  • How to print in Python
  • How to run python file in cmd
  • How to clear screen in Python
  • How to convert string to list in Python
  • How to install OpenCV in Python
  • How to make a game in Python
  • How to print in same line in Python
  • How to take multiple inputs in Python
  • How to write a program in Python
  • How to compare two strings in Python
  • How to create a dictionary in Python
  • How to create an array in Python
  • How to declare variable in Python
  • How to install matplotlib in Python
  • How to update Python
  • How to add elements in list in Python
  • How to compare two lists in Python
  • How to concatenate two strings in Python
  • How to input a list in Python
  • How to install CV2 in Python
  • How to install library in Python
  • How to install Tkinter in Python
  • How to plot graph in Python
  • How to remove element from list in Python
  • How to reverse a number in Python
  • How to sort a string in Python
  • How to sort dictionary in Python
  • How to split string in Python
  • How to split a list in Python
  • How to write a function in Python
  • How to add Python to Path
  • How to check data type in Python
  • How to convert float to int in Python
  • How to convert string to float in Python
  • How to create a class in Python
  • How to create a dataframe in Python
  • How to declare global variable in Python
  • How to find length of list in Python
  • How to find length of string in Python
  • How to find prime numbers in Python
  • How to find square root in Python
  • How to import numpy in Python
  • How to import pandas in Python
  • How to print pattern in Python
  • How to round off in Python
  • How to run python script in Linux
  • How to uninstall Python
  • How to upgrade PIP in Python
  • How to add elements in dictionary in Python
  • How to append string in Python
  • How to connect MySQL with Python
  • How to create object in Python


  • Binary Search in Python
  • Linear Search in Python


  • Python Sort List
  • Python Sort Array
  • Python Sort Dictionary
  • Python Sort String
  • sort() function in Python
  • Bubble Sort Python
  • Insertion Sort Python
  • Merge Sort Python
  • Selection Sort Python
  • Quick Sort Python
  • Sort Dictionary by Value in Python
  • Sort Dictionary by Key in Python
  • Sort and Sorted in Python


  • Python Basic Programs
  • Simple Python Program
  • Factorial Program in Python
  • Pattern Program in Python
  • Prime Number Program in Python
  • Fibonacci Series Program in Python
  • Hello World Program in Python
  • Leap Year Program in Python
  • Palindrome Program in Python
  • Calculator Program in Python
  • Armstrong Number Program in Python
  • Python Program to add two numbers
  • Anagram Program in Python
  • Number Pattern Programs in Python
  • Python string programs
  • Python array programs
  • Even Odd Program in Python
  • GCD Program in Python
  • Python Exit Program
  • Python Program to check Leap Year

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