By Mohak Mishra

1. Python And Its Applications
Presented by :
Name : Mohak Mishra.
Roll No. : 093.
Sec : II.
Department : Electrical Engineering.
8/7/2018 1

2. Overview
 Python : Introduction
 Object oriented language
 History
 Features
 Comparison among its rivals
 Applications
 Python based technologies
 The Growth of Python in recent years.
 Conclusion
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3. Introduction
Python is an interpreted, object-oriented, high-level programming
language with dynamic semantics. Python is a general-purpose
programming language which can be used for a wide variety of
applications. A great language for beginners because of its readability and
other structural elements designed to make it easy to understand, Python
is not limited to basic usage. In fact, it powers some of the world's most
complex applications and website.
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4. Object Oriented Language
Object-oriented programming (OOP) is a software programming model constructed around objects.
This model compartmentalizes data into objects (data fields) and describes object contents and
behavior through the declaration of classes (methods).
OOP features include the following:
 Encapsulation: This makes the program structure easier to manage because each object’s
implementation and state are hidden behind well-defined boundaries.
 Abstraction : This refers to the data hiding process.
 Polymorphism: This means abstract entities are implemented in multiple ways.
 Inheritance: This refers to the hierarchical arrangement of implementation fragments.
Object-oriented programming allows for simplified programming. Its benefits include reusability,
refactoring, extensibility, maintenance and efficiency. 8/7/2018 4

5. History
Python was conceived in the late 1980s, and its implementation
began in December 1989 by Guido van Rossum at Centrum
Wiskunde & Informatica (CWI) in the Netherlands as a successor to
the ABC language (itself inspired by SETL) capable of exception
handling and interfacing with the Amoeba operating system.
Guido van Rossum
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6. Features Of Python
 Simple
 Easy to learn
 Free and Open Source
 Portable
 Interpreted
 Object Oriented
 Extensible
 Provides graphical user interface
 No more malloc and calloc 8/7/2018 6

7. Python vs its Rivals
C++
#include <iostream.h>
Int main()
{
Int x=5 ,y=10,temp;
temp=x;
x=y;
y=temp;
return 0;
}
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java
class swapNumbers
{
public static void
main(String args)
{
Int x=5 ,y=10,temp;
temp=x;
x=y;
y=temp;
}
}
Python
x=5
y=10
x , y = y , x
A basic program to swap numbers

8. Application of Python
 Web and Internet Development
 Frameworks such as Django
 Micro frameworks such as flask
 Internet Protocols
 HTML and XML
 E-mail Processing
 Scientific and Numeric
 Scipy (Collection of packages of mathematics, science, engineering)
 Raspberry pi ( to design robots )
 Pandas (modelling library)
 Desktop GUI
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9. Do you know ?
You can do interesting things such as face detection and color separation using python.
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10. Python based technologies
 Python is being applied in real revenue generating products by real companies. For
instance:
 Google makes extensive use of Python in its web search system ,and employs python
developers.
 Intel , Cisco, HP, Seagate and IBM use Python for hardware testing.
 ESRI uses Python for its popular GIS mapping products.
 The Youtube video sharing service is largely written in Python.
 Monovar — This New Computer Program Written In Python Is Here To Beat
Cancer.(https://fossbytes.com/monovar-python-program-cancer-detection-svn/)
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11. The Growth of
Python in recent
years.
The given graph represent
the radical growth in the
interest of python from 2012
- 2018.
8/7/2018 11(Source: www. stackoverflow.blog.com)

12. Conclusion
 Python is indeed an exciting and powerful language. It has the right combination of
performance and features that makes writing programs in Python both fun and easy.
 Python programming language is undoubtedly dominating the other languages
when future technologies like Artificial Intelligence(AI) comes into the play. The future
scope of python programming language can also be predicted by the way it has
helped big data technology to grow.
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13. 8/7/2018 13
Thank you 