Python – The Fastest Growing Programming Language

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 354
Python – The Fastest Growing Programming Language
K. R. Srinath
Associate Professor, Department of Computer Science, Pragati Mahavidyalaya Degree and PG college, Hanuman
Tekdi, Koti, Hyderabad, Telangana, India
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Abstract: Python is a suitable language for both learning
and real world programming. Python is a powerful high-
level, object-oriented programming language created by
Guido van Rossum. In this paper we first introduce you to
the python programming characteristics and features. This
paper also discusses about the reasons behind python being
credited as the most fastest growing programming language
in the recent times supported by research done over the
articles procured from various magazines and popular
websites. This paper features about the characteristics and
most important features of python language, the types of
programming supported by python and its users and its
applications.
Key words: Python ,Programming languages , Real world
programming.
1. INTRODUCTION
In this paper, we are going to introduce the characteristicsof
Python. Python is a general-purpose, high-level
programming language which is widely used in the recent
times [1][2][3]. Its design philosophy emphasizes code
readability, and its syntax allows programmers to express
concepts in fewer lines of code than would be possible in
languages such as C [4]. The language constructs enable the
user to write clear programs on both a small and large scale
[5]. The most important feature in Python being it supports
multiple programming paradigms,includingobject-oriented,
imperative and functional programming or procedural
styles. Python supports a dynamic type system and
automatic memory management and has a large and
comprehensive standard library. Python interpreters are
available for many operating systems..
Latest reviews about python published in popular
magazines and websites:
5th Largest StackOverflow Community
StackOverflow is a programming Q&A site you will no doubt
become intimate with as a coding beginner.Pythonhas85.9k
followers, with over 500k Python questions. Python
questions are also the 3rd most likely to be answered when
compared to other popular programming languages.
3rd Largest Meetup Community
At meetups, you can generally network and learn from
fellow developers. Meetups often offer mentorship to those
who want it as well. There are 1300+ Python groups on
Meetup.com, totaling 608k+ members. Thus, in terms of
programming languages, Python is the 3rd largest
community.
4th Most-Used Language at GitHub
Python is also known to have an abundance of libraries that
assist with data analysis and scientific computing. In
addition, PyGamesis a neat game engine to buildgameswith
if you want to make simple games.
Career Opportunities
On Angel List, Python is the 2nd most demanded skill and
also the skill with the highest average salary offered. With
the rise of big data, Python developersare in demandasdata
scientists, especially since Python can be easily integrated
into web applications to carry out tasksthatrequiremachine
learning.
Reasons for Python to become the fastest-growing
programming language:
Python's status as the fastest-growing programming
language is being fuelled by a sharp uptick in itsuse for data
science. The link has been established by a new analysis by
Stack Overflow, the Q&A hub that is home to the world's
largest online developer community.
Jacqueline Kazil, board director of the Python Software
Foundation (PSF), predicted Python's popularity will
continue grow, as the language's accessibility and utility
continue to be attractive to researchers carrying out
analytics. "But the share of Python developers who are
visiting data science technologies is growing very rapidly.
This suggests that Python's popularity in data science and
machine learning is probably the main driver of its fast
growth."
The overriding interest among Python developers in data
science is reinforced by other data. Among the Python-
tagged questions, the fastest growing tag is related
to pandas, a data analytics software library for Python. Only
introduced in 2011, it now accounts for almost 1% of Stack
Overflow question views. However, the second most visited
tag by Python visitors is JavaScript, likely reflecting the
healthy use of Python by web developers.

By analyzing visitors by industry,StackOverflowdetermined
that those viewing Python-related questions are most
commonly involved in academia, followed by electronics,
manufacturing and software industries.
"However, Python's growth is spread pretty evenly across
industries. In combination this tells a story of data science
and machine learning becoming more common in many
types of companies, and Python becoming a common choice
for that purpose," says Robinson.
By analysing visitors by industry,StackOverflowdetermined
that those viewing Python-related questions are most
commonly involved in academia, followed by electronics,
manufacturing and software industries.
Characteristics of python:
Python is a well designed language that can be used for real
world programming. Python is a very high-level, dynamic,
object-oriented, general purpose programming language
that uses interpreter and can be used in a vast domain of
applications. Python wasdesigned to be easy to understand
and use. Python is termed as a very user-friendly and
beginner-friendly language in the recent times. Python has
gained popularity for being a beginner-friendly language,
and it has replaced Java as the most popular introductory
language. As a dynamically typed language, Python is really
flexible. Furthermore, Python is also more forgiving of
errors, so you'll still be able to compile and run your
program until you hit the problematic part. Python is a
flexible, simple coding programminglanguage.Thislanguage
can support different styles of programming including
structural and object-oriented. Other stylescan be used,too.
Python is very flexible, because of its ability to use modular
components that were designed in other programming
languages. For example, you can write a program in C++ and
import it to python as a module. Then add something else to
it (for example design a GUI for it).
However, there are few drawbacks with python:
Not Easy to Maintain:
Because Python is a dynamically typed language, the same
thing can easily mean something different depending on the
context. As a Python app grows larger and more complex,
this may get difficult to maintain as errors will become
difficult to track down and fix, so it will take experience and
insight to know how to design your code or write unit tests
to ease maintainability.
Slow:
Asa dynamically typed language, Python is slowbecauseitis
too flexible and the machine would need to do a lot of
referencing to make sure what the definitionofsomethingis,
and this slows Python performance down.
Features of Python:
Python is simple and lovely
It is a very high-level language that has many sources for
learning. Python supports a wide variety of thirdparty tools
which makes it much easier to to use and motivates the
usersto continue with. Python hasa very simple and elegant
syntax. It's much easier to read and write Python programs
compared to other languages like: C++, Java, C#. Python
makes programming fun and allows you to focus on the
solution rather than syntax. If you are a newbie, it's a great
choice to start your journey with Python.
Python is portable
Python scripts can be used on different operating systems
such as: Windows, Linux, UNIX, Amigo, Mac OS, etc. You can
move Python programs from one platform to another, and
run it without any changes.
It runs seamlessly on almost all platforms including
Windows, Mac OS X and Linux.
Python is open source
Even though all rights of this program are reserved for the
Python institute, but it is open source and there is no
limitation inusing, changing and distributing. You can freely
use and distribute Python, even for commercialuse.Notonly
can you use and distribute softwares written in it, you can
even make changes to the Python's source code. Python has
a large community constantly improving it in each iteration.
Python supports other technologies
It can support COM, .Net, etc objects.
Extensible and Embeddable
Suppose an application requires high performance. You can
easily combine pieces of C/C++ or other languages with
Python code.
This will give your application high performance as well as
scripting capabilitieswhich otherlanguagesmaynotprovide
out of the box.
A high-level, interpreted language
Unlike C/C++, you don't have to worry about daunting tasks
like memory management, garbage collection and so on.
Likewise, when you run Python code, it automatically
converts your code to the language your computer
understands. You don't need to worry about any lower-level
operations.

Large standard libraries to solve common tasks
Python has a number of standard libraries which makes life
of a programmer much easier since you don't have to write
all the code yourself. For example: Need to connect MySQL
database on a Web server? You can use MySQLdb library
using import MySQLdb . Standard libraries in Python are
well tested and used by hundreds of people. So you can be
sure that it won't break your application.
Object-oriented
Everything in Python is an object. Object oriented
programming (OOP) helps you solve a complex problem
intuitively. With OOP, you are able to divide these complex
problems into smaller sets by creating objects.
Python is a multi-paradigm programming language: object-
oriented programming and structured programming are
fully supported. Python uses dynamic typing and a
combination of reference counting and a cycle-detecting
garbage collector for memory management. An important
feature of Python is dynamic name resolution (late binding),
which binds method and variable names during program
execution. Python was designed to be highly extensible.
Python can also be embedded in existing applications that
need a programmable interface. Python hasalargestandard
library, commonly cited as one of Python's greatest
strengths, providing toolssuited to many tasks. ForInternet
based applications, a large number of standard formats and
protocols (such as MIME and HTTP) are supported.Modules
for creating graphical user interfaces, connecting to
relational databases, pseudorandom number generators,
arithmetic with arbitrary precision decimals, manipulating
regular expressions, and doing unit testing arealsoincluded.
Python can be used to write a wide variety of programs:
Python is a well designed language that can be used for real
world programming. The most common program types that
can be written by Python are categorized below:
System programming
Pythons Internal interfaces support workingwithservicesof
operating system and hence makesit a suitable languagefor
system programming. The standard library of Python can
support the different types of platforms and operating
systems. It contains some tools for working with system
resources such as environmental variables, files, sockets,
pipe, processes, multiple treats, command line, standard
stream interfaces, shell programming, etc.
Graphical User Interface (GUI)
Tkinter and wxPython are the basic interfaces for designing
GUIs in Python. Tkinter is a standard object-oriented
interface that is distributed with Python interpreter. It
provides the essential tools for designing GUI.
Network and internet programming
Various modules are embedded in Python standard library
that provide many tools for network programmers, such as:
client-server connection, socket programming, FTP, Telnet,
email functions, RPC, SOAP, etc.
Components integrity
Python is able to make an integrated connection betweenits
codes and other components. Tools such as Swing and SIP
can import the compiled codes of other languages for using
in Python.
Database programming
Python supports most of the commondatabases likeSybase,
Oracle, Informix, MySQL, PostgreSQL, SQLite, etc. Pickle is a
standard module that can store and recover objects in files.
Also, ZODB is a pure object-oriented tool for working with
databases. From Python 2.5 on, SQLite was considered as a
standard part of Python.
Other programming applications
Python dominates a wide extent of programming areas. For
example, PyGame is a tool for game programming and PIL is
used for image processing. For robotic programming, PyRo
exists. A complete package for artificial intelligence,network
simulation, and shell programming waspublishedunderthe
title NLTK. Almost in all area you can find sufficient modules
that can help you to get to your goals. There are different
tools for Python users with different needs. This good
feature makes Python suitable for any kind of programming.
Large amount of using Python by popular websites and
applications is the best evidence for this matter.
Python Users:
Many corporations have used and been using this tool for
different functions. Some of them are enlisted:
 Google is one of the Python users that included this
language in its web search system and
employed Python’s creator, too.
 YouTube video sharing service makes extensive use
of Python.
 Popular BitTorrent peer-to-peer file sharingsystem
is written by Python.
 ESRI uses Python as an end-user customizationtool
for its popular GIS mapping products.
 NASA, Los Alamos, Fermilab, JPL, and others use
Python for scientific programming tasks.
 iRobot uses Python to develop commercial robotic
vacuum cleaners.
 Intel, Cisco, Hewlett-Packard, Seagate, Qualcomm,
and IBM use Python for hardware testing.

 NSA uses Python for cryptography and intelligence
analysis.
 IronPort email server product uses more than 1
million lines of Python code to do its job.
 One Laptop Per Child (OLPC) project builds its user
interface and activity model in Python.
 Industrial Light & Magic, Pixar, and others use
Python in the production of movie animation.
 JPMorgan Chase, UBS, Getco, and Citadel apply
Python for financial market forecasting.
Future of Python :
According to the TIOBE index, Python is the 4th most
popular programming language out of 100 With the rise of
Ruby on Rails and more recently Node.js, Python's usage as
the main prototyping language for backend web
development has diminished somewhat, especially since it
has a fragmented MVC ecosystem. However, with big data
becoming more and more important, Python has become a
skill that is more in demand than ever, especially it can be
integrated into web applications. As an open source project,
Python is actively worked on with a moderate update cycle,
pushing out new versions every year or so to make sure it
remains relevant. In terms of search volume for anyone
interested in learning Python, it has skyrocketed to the 1st
place when compared to other languages.
CONCLUSION
In this paper, we introduced the Python programming
language as a suitable choice for learning and real world
programming. The paper has discussed the characteristics,
features, types of programming support offered by python.
According these characteristics we found Python as a fast,
powerful, portable, simple and open source language that
supports other technologies. Then, different types of
programs that can be written by Python were investigated.
The paper has also discussed about the latest applicationsof
python by some of the popular corporations. The paper has
cited the reasons as to why python language is the fastest
growing programming language based on the information
obtained from popular and trusted magazinesandwebsites.
REFERENCES
[1] TIOBE Software Index (2011). "TIOBE
Programming Community Index Python". 1
[2] "Programming Language Trends - O'Reilly Radar".
Radar.oreilly.com. 2 August 2006.
[3] "The RedMonk Programming Language Rankings:
January 2011 – tecosystems". Redmonk.com.
[4] Summerfield, Mark. Rapid GUI Programming with
Python and Qt.
[5] Kuhlman, Dave. "A Python Book: BeginningPython,
Advanced Python, and Python Exercises".
[6] https://stackoverflow.com
[7] https://github.com

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