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Table of Contents

What is Python Programming?

Python is a high-level, interpreted, and general-purpose programming language. It was developed by Guido van Rossum and was first released in 1991. It was created as a successor of the ABC programming language. Python is a portable programming language that can be executed on several platforms like Mac, UNIX, and Windows.

As Python is a general-purpose language, programmers can use it in machine learning, web development, and many other technology software. It was primarily designed for readability. Python is the best language to learn for beginners because of its super easy syntax. Moreover, it is best for rapid app development. Many most prominent organizations, i.e., Google, NASA, Netflix, Amazon, and many others, are using Python in some form.

What Are The Applications Of Python?

Python is one of the most popular languages for rapid app development. As it is a general-purpose language, it can be used in a variety of applications. Some of the popular application domains of Python are as follows-

  • Machine Learning and Artificial Intelligence
  • Web Development
  • Data Science and Data Visualization
  • CAD Applications
  • Embedded Applications
  • Game Development
  • Business Applications
  • Audio and Video Applications
  • Desktop GUI
  • Web Scraping Applications

Python Program To Multiply Two Integers


#input value for variable number1

number1=int(input("Insert 1st Number: "))

#input value for variable number2

number2=int(input("Insert 2nd number: "))

#perform multiplication operation


#display the product

print("The product of given numbers is: ",multiply)


Insert 1st Number: 5

Insert 2nd number: 5

The product of given numbers is: 25

Features Of Python Programming

Easy to Learn

Python offers a smooth learning curve, easy to understand, and easy to write syntax, making it easy to learn language compared to other languages.

Free and Open-Source

Python is Free and Open-Source. Anyone can contribute to the improvement of Python. Its source code is available for free.

High-Level Language

Python is a high-level programming language. That's why it is easy to understand. Programmers do not need to remember its system architecture.


Python is an object-oriented programming language. So, the various concepts of oops such as classes, objects, abstraction, encapsulation are supported.

GUI Support

Python supports GUI programming. Programmers can create graphical user interfaces by using various different modules, i.e., PyQt, Pyside, Tkinter, etc.


Python is portable. Programs created on one platform can easily run on other platforms. So, you don't need to develop separate programs for different platforms.


Python can be easily integrated with other programming languages, i.e., C, C++, etc.

Dynamically Typed

Python is dynamically typed. So, the variable is decided at run time and we don't need to specify the variable's data type.

Large Community Support

Python provides large community support. Community members are always available to answer your queries.

Large Standard Library

Python has an extensive standard library. It provides various packages and modules for essential functionality.

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Lack of Python coding skills

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Inadequate practice

Practice is the most important thing for learning any programming language. But, a majority of students do not practice daily. Due to which they are unable to complete their Python programming assignments.

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  • Data Analysis Using Pandas and NumPy
  • Object-Oriented Programming Concepts in Python
  • Web Scraping and Data Extraction Using Beautiful Soup
  • Cryptography and Encryption Techniques in Python
  • Neural Network Implementation for Image Recognition

UK Universities

  • Financial Data Analysis and Visualization with Python
  • Exploring Graph Algorithms in Python
  • Game Development Using Pygame
  • Text Sentiment Analysis Using Machine Learning
  • Developing Chatbots with Natural Language Processing

Australian Universities

  • Environmental Data Analysis Using Python
  • Geographic Information Systems (GIS) Analysis in Python
  • Building Recommender Systems with Collaborative Filtering
  • Computational Physics Simulations Using Python
  • Developing Web Applications with Django Framework

Canadian Universities

  • Implementing Graphical User Interfaces with PyQt
  • Exploring Machine Learning for Medical Diagnosis
  • Quantum Computing Algorithms in Python
  • Predictive Analytics and Regression Models in Python
  • Blockchain Technology and Smart Contracts with Python

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