PYTHON- AN APPETITE FOR THE SOFTWARE INDUSTRY

International Journal of Programming Languages and Applications ( IJPLA ) Vol 12, No 1/2/3/4, October 2022
DOI : 10.5121/ijpla.2022.12401 1
PYTHON- AN APPETITE FOR THE
SOFTWARE INDUSTRY
Saphalya Peta
B.E, CSE-II Year,
Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana, India
ABSTRACT
Python is a scripting language that's high- positioned, interpreted, interactive, and object- oriented.
Python is intended to be a veritably accessible programming language. It generally uses English terms
rather than punctuation, and it has smaller syntactical structures than other languages.
Python is a must-have skill for scholars and working professionals who want to become exceptional
software masterminds, especially if they work in the web development field. It's a freshman-friendly
scripting language. Some of the crucial features of Python programming language are- It supports OOP as
well as functional and structured programming methodologies. It can be used as a scripting language or
collected into bytecode for large-scale operations. It allows dynamic type verification and provides
veritably high-position dynamic data types. It facilitates scrap collection by itself.
Numerous different programming languages have been impacted by Python's design and gospel. Some of
those languages are Boo, Cobra, CoffeeScript, Go, Swift, Ruby, etc.
Some of the advantages of Python programming language are straightforward, free, simple to use, and
largely compatible, object- acquainted, has multitudinous libraries, has erected in data structures, has a
wide range of uses, boosts productivity and speed, and simple to understand.
One of the most extensively used programming languages is Python. It's an open- source language.
Python's demand is growing, and its operations are expanding in virtually every assiduity. It's abundant in
every way. It has a wide range of capabilities. Python is a popular programming language. It's also
developing a strong request in the IT sector. Python is in high demand across the globe.
Python helps you negotiate more in lower time. Python has a large community that supports and meets the
requirements of inventors. Python is therefore one of the most popular programming languages. It's a
veritably reliable and effective programming language. Python programmers are in high demand because
Python is being used in a variety of sectors.
Python is an extensively used computer language that was created nearly 25 years ago. Python is useful in
a variety of fields, including web development, desktop app development, machine literacy, big data, data
analysis, and robotics. Clean syntax, extremely clear law, a wide range of uses, packages that help apply
features, and a cool community that helps grow this excellent language are just a many of the reasons why
people like this language and why it's well suited for different tasks. The Python programming language
has a bright future. The advanced technologies like Artificial Intelligence, Machine Learning, Big Data,
Cloud Computing, Data Science, etc and world-notorious companies similar as Amazon, Google, Apple,
Deloitte, Microsoft, Netflix, and Accenture have the Python programming language as their backbone
which states that Python is in demand and AN APPETITE FOR THE SOFTWARE INDUSTRY!
A standard and scientific procedure of an Empirical Exploration Methodology (Survey) was conducted to
check the statement stated by the author where 900 repliers from colourful corridors of the globe shared

2
their thoughts. From the check, it was concluded that 99.8% of the respondents feel that Python is one of
the in- demand programming languages for the digital assiduity in the present time.
KEYWORDS
Python, Object- Oriented, High- level language, Portable, Advanced Technologies.
1. INTRODUCTION
Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming
language. Its design philosophy prioritises code readability through extensive indentation. Python
is garbage-collected and dynamically typed programming language. It works with a variety of
programming paradigms, including structured (especially procedural), object-oriented, and
functional programming. Because of its extensive standard library, it is often referred to as a
"batteries included" language.
Python Programming language was created by Guido van Rossum during 1985- 1990. Like Perl,
Python source code is also available under the GNU General Public License (GPL). Guido van
Rossum started working on Python in the late 1980s as a replacement for the ABC programming
language, and Python 0.9.0 was launched in 1991. List comprehensions, cycle-detecting garbage
collection, reference counting, and Unicode support were all included in Python 2.0, which was
published in 2000. Python 3.0, introduced in 2008, was a significant update that was not fully
backwards compatible with previous versions. Python 2 was retired in 2020 with version 2.7.18.
Python is a relatively simple and straightforward programming language. It features a simple and
intuitive syntax. Python's syntax makes coding very simple. It has a grammar that is comparable
to the English language. Its syntax is not as difficult as those of other languages. One can code in
Python without having a deep understanding of the language too. It doesn't even need brackets;
instead, it relies on indentation.
Python is Interpreted - Python is handled by the interpreter during runtime. Before running your
software, you do not need to compile it. Python is interactive, in the sense that one can sit at a
Python prompt and write their programmes by interacting directly with the interpreter. Python
supports the Object-Oriented programming style or approach, which encapsulates code inside
objects. Python is an excellent language for beginners because it allows one to create a wide
range of programmes, from simple text processing to web browsers and games, Wikipedia,
Google to crawl web pages, Yahoo!, CERN, NASA, Facebook, Amazon, Instagram, Spotify to
recommend songs, Netflix to deliver content and several smaller organisations like ILM and ITA
are all Python users for various purposes. Reddit, a social news network, was built primarily in
Python. Many businesses choose python as their primary programming language.
Python is one of the most widely used programming languages over the web. Some of the
applications of Python programming language being: Web Development, Data Science, Machine
Learning, Artificial Intelligence, Audio and Visual Applications, Developing Games, CAD,
Software platforms like Google, Netflix, Spotify, GUI for Desktop, Business Applications like
Website Databases, Data Visualisation, Data Analytics, Search Engine Optimisation, Designing
Software, and many more.
Across a wide range of fields, Python developers are in demand. It could lead to a well-paid
career. There will be many job opportunities. Python can be used in many emerging technologies,
such as Artificial Intelligence, Machine Learning, and Data Analytics, it is likely that it is a
future-proof skill. Learning Python could benefit one across their career.

3
Python's future seems bright. Python has previously been in demand for web development,
software development, and system administration but now, Python's popularity is expanding due
to the advent of Data Science and Python scientific tools like NumPy, Pandas, and Matplotlib.
However, in addition to the Python standard library, there are a number of other libraries that
influence Python development and are equally significant. Everything is fantastic here: new
frameworks and libraries are being developed, and existing ones are being upgraded. Data
Science is one of the newest fields that is gaining traction in which Python is a rock-star.
Python has also influenced many other programming languages due to its design and philosophy
such as: Boo, Cobra, CoffeeScript, GDScript, Groovy, Swift, Ruby, and many more.
2. PERCEPTION OF FEW PROFESSIONALS
“Python is an experiment in how much freedom programmers need. Too much freedom and
nobody can read another's code; too little and expressiveness is endangered.”
~ Guido van Rossum, Dutch programmer, California
"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."
~ Peter Norvig, Director of Search Quality at Google, Inc.
“My favourite language for maintainability is Python. It has simple, clean syntax, object
encapsulation, good library support, and optional named parameters.”
~ Bram Cohen, American computer programmer, BitTorrent protocol, US
“In many ways, it's a dull language, borrowing solid old concepts from many other languages &
styles: boring syntax, unsurprising semantics, few automatic coercions, etc. But that's one of the
things I like about Python.”
~ Tim Peters, Software Engineer, America
"Python is fast enough for our site and allows us to produce maintainable features in record
times, with a minimum of developers,"
~ Cuong Do, Software Architect, YouTube.com
"Now, it's my belief that Python is a lot easier than to teach to students programming and teach
them C or C++ or Java at the same time because all the details of the languages are so much
harder. Other scripting languages really don't work very well there either."
“The canonical, "Python is a great first language", elicited, "Python is a great last language!"”
~ Noah Spurrier, Linux software engineer, San Francisco, California, United States
“Python is the "most powerful language you can still read".”
~ Paul Dubois, Lead Developer for Numerical Python and Pyfort
"Python is everywhere at ILM. It's used to extend the capabilities of our applications, as well as
providing the glue between them. Every CG image we create has involved Python somewhere in
the process,"
~ Philip Peterson, Principal Engineer, Research & Development, Industrial Light & Magic

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“The joy of coding Python should be in seeing short, concise, readable classes that express a lot
of action in a small amount of clear code -- not in reams of trivial code that bores the reader to
death.”
3. REVIEW OF LITERATURE
Python is a popular and rapidly expanding programming language. It's a high-level, general-
purpose, object-oriented scripting language which is interpreted by default.
Python is a programming language that is simple to learn. Python is simple to read and
understand since its syntax is similar to English. Python is an easy-to-read and grasp language for
programmers who have never written code before. Because of its simple layout, one can easily
figure out what each line of code does. Python’s easy and simple syntax attracts newcomers who
desire to learn this scripting language. From some angles, it may appear logical and
predetermined that Python will become the lingua franca of coding language, rendering all of its
competitors obsolete. Its code is simple to understand, distribute, and update. There is no overuse
of words, and the language is simple to pick up which makes it a simple and easy-to-learn, easy-
to-read, easy-to-maintain programming language. Python is said to be simple to use by
programmers. Python makes it easier to create server-side apps, automate build processes, and
collect test data. Python is versatile.
Python is a free and open-source programming language. Python is an open-source language that
is free to use and distribute, including for commercial reasons, thanks to an OSI-approved open-
source licence. It will lower your maintenance costs. The developers, on the other hand, can
share, copy, and modify it.
Python is highly compatible with a variety of hardware platforms and has the same user interface
across all the platforms. It's one of the most typical problems that developers have while working
with different languages. It is a platform-independent language. Python code written on one
platform can also be run on another. Its programmes run on any modern computer operating
system. Python scripts are interpreted because of the high-level nature of the language; therefore,
they may be written for further interpretation on Linux, Windows, Mac OS, and UNIX without
requiring any changes. Python also allow implementing portable GUIs. Python's portability is one
of the reasons for its popularity.
One of Python's major advantages is the large number of libraries and frameworks available. A
Python developer's efficiency is boosted by having a large library with memory management and
blank designs.
The Python Library, which includes everything from NumPy to TensorFlow, is used for Data
Visualisation, Machine Learning, Data Science, Natural Language Processing, and Complicated
Data Analysis. As a result, developers are able to handle databases, documentation, and web
browsers, as well as do unit testing and other tasks. NumPy, Pandas, Selenium, SciPy, PyTorch,
Bokeh, and other Python tools and frameworks like Pyramid, Django, Palcon, Flask cater to
certain fields. These libraries and frameworks make coding much easier for developers because
they eliminate the need to code manually. These can assist a developer in simplifying and
speeding up the process. Python can be used to create a variety of jobs, including web and
desktop programmes, complicated computation systems, life support management systems, the
Internet of Things (IoT), and games and many more.

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Python is based on simple structures that are later translated into a low-level language, which is
the actual code that runs on the central processor unit of a computer (CPU). A programmer will
utilise a high-level language, and the produced code will be interpreted into a low-level language.
Python, like C++ or Java, must be processed before it can run. Python's portability is enabled by
this: it can operate on a variety of systems with minimal changes.
Python enables object-oriented programming. This programming paradigm provides a general
framework for scripting and code organisation. The challenges in terms of classes and objects are
possible with this object-oriented approach. The objects are then put together to form
complicated computer programmes. Python also enables procedural programming in addition to
object-oriented programming. You can make Python programming more advanced by using an
object-oriented programming method, which is just one of the alternatives. Developers can reuse
code patterns, reducing the amount of redundancy in development initiatives.
At runtime, an interpreter examines the lines of code one by one and executes the commands.
Python, like Perl and PHP, does not require to compile the programme before running it. As a
result, there is no such need to use a compiler. One can just run a.py file instead of the compiler
that aids in the conversion of source files to compiled class files. Python's byte code compilation
is completely automated.
Python has a huge community. In terms of the Python community, it allows junior specialists to
contribute their skills. As a result, the Python user community is constantly expanding and
increasing. Python has a constantly rising user base and is an excellent example of a vibrant
community. Python's formidable toolkit has hundreds of contributors — Pythonists. Users have
already contributed around 2,00,000 custom-built software programmes to an online repository.
All of this means that the large supportive community is both the cause and the result of the
language's popularity.
Python's built-in list and dictionary data structures can be used to create quick data structures at
runtime. Furthermore, Python's dynamic high-level data type option reduces the length of support
code required. All major commercial databases provide Python interfaces.
Python's object-oriented design allows for more precise process control. Python has powerful
integration and text processing features, which let it run faster and more efficiently. This Python
functionality is thought to be a feasible choice for creating multi-protocol network applications.
Python is a dynamic scripting language, which means it's not designed for developing
applications from the ground up, but rather for connecting components. The interfaces between
components and scripts are well-defined, and components are designed to be reusable. It all helps
to speed up software development by making Python a highly concise and productive language.
Python features an interactive mode that enables interactive testing and debugging of code
snippets. Low-level modules can be introduced to the Python interpreter, allowing programmers
to improve their tools by adding to or customising them. For large programmes, Python has a
better structure and support than shell scripting. Python is capable of automating its tasks.
Writing and executing code of Python takes less time. It has dynamic coding and does not need to
be compiled. This saves both time and energy.
Python still maintains flexibility, despite emphasising code simplicity and readability over
flexibility. Python can be used in a variety of projects. It lets programmers select between
procedural and object- oriented programming paradigms. Python is also versatile when it comes
to data types. Number- three built-in numeric data types: integers, floating-point numbers, and
complex numbers; String- arrays of bytes representing Unicode characters; List- a ordered
collection of data; Tuple- ordered collection of Python objects; and Dictionary- unordered

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collection of data values - are the five root types, and each sub-data type corresponds to one of
them. As a result of Python's versatility, conducting exploratory data analysis becomes easier.
Python programmes are text files that include interpreter instructions and are written in a text
editor or integrated development environment (IDE). Text editors do not generally include IDE
functions, but they can be altered. IDEs are full-featured and include in-built tools such as syntax
checks, debuggers, and code browsers. Python also comes with a large number of third-party
packages, libraries, and frameworks to help with development. Python is therefore ideal for large-
scale applications due to its optimization capabilities.
Python has a bright future ahead of it. It is now used in practically every industry. Everyone can
find a job that they enjoy. Python developers will have no trouble finding work because there is
such a high demand for them. Python is an excellent language to learn. Python's wage component
is one of the reasons for its popularity. Python programmers benefit from a lucrative package.
Python programmers are the highest-paid workers in the IT industry. Although the amount varies
depending on their abilities, education, and experience.
The Python programming language has a wide range of applications. Scientists, Engineers, and
Mathematicians use it extensively for a variety of purposes. Python may also be used to prototype
a variety of experiments. It's employed in a variety of ground-breaking industries, including
Movie Animation, Desktop GUI Development, Scientific and Computational Applications,
Machine Learning, Image Processing, and Graphic Design applications. Games, Web
Frameworks and Web Apps, Enterprise and Corporate Applications, Operating Systems,
Language Development, and Prototyping are all examples of Python applications.
The TIOBE (The Importance of Being Earnest) Programming Community index is an indicator
of the popularity of programming languages. The index is updated once a month. The ratings are
based on the number of skilled engineers world-wide, courses and third-party vendors. Popular
search engines such as Google, Bing, Yahoo!, Wikipedia, Amazon, YouTube and Baidu are used
to calculate the ratings. The index can be used to check whether one’s programming skills are
still up to date or to make a strategic decision about what programming language should be
adopted when starting to build a new software system.

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Figure 1. TIOBE Index of Python from the year 2002 to the year 2022.
Many additional programming languages have been impacted by Python's design and philosophy:
Indentation, a comparable syntax, and an object model are all used by Boo. Indentation and a
comparable syntax are used by Cobra. CoffeeScript is a Python-inspired programming language
that cross-compiles to JavaScript. Python iterators and generators were borrowed by JavaScript.
The Godot game engine includes GDScript, a scripting language that is extremely similar to
Python. Julia was created with the goal of being "as useful for general programming as Python."
Indentation and related syntax are used by Nim. Swift, an Apple programming language, features
some Python-inspired syntax.

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Figure 2. The TIOBE Indices of different programming languages in comparison with the previous years.
The Python Package Index (PyPI), the official repository for third-party Python software,
contains over 3,29,000 packages with a wide range of functionality, including: Data science;
Scripting; Database programming; Quick prototyping; Web development; Data analysis; Machine
learning; Web parsing, scraping, and crawling; System administration/automation
scripts/DevOps.
Python's user base is continuously expanding since it is employed in a variety of computer
languages. Quick automation, cross-platform shell scripting, simple Web Development, Data
Science, Artificial Intelligence, Machine Learning, Data Analysis, Visualisation, and many other
programming styles are among them.
3.1. Data Science
Data science is all about coping with massive amounts of data (Big Data). Python has thus
become the most promising option to handle it due to its ease of use and a big variety of unique
modules and frameworks that are very useful in the Data Science sector. One of the major
reasons is PyBrain, PyMySQL, and NumPy - A library that makes a variety of mathematical and
statistical operations easier; it is also the basis for many features of the Pandas library. Python’s
easy interface with other programming languages is another step forward, making it more
scalable and future-oriented. Python makes data visualisation and analysis easier. Data processing
is possible because of the extensive and efficient libraries. It aids data scientists in doing difficult
numerical computations. NumPy, Pandas, SciPy, Selenium, OpenCV, Librosa, Madmom,
TensorFlow, Seaborn, Pillow, and other libraries and frameworks are among them.

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3.2. Artificial Intelligence
When it comes to Artificial Intelligence, Python is practically unbeatable! Python creates high-
level abstractions that let you handle everything as an object without having to deal about
memory management or CUDA programming quirks. Python is incredibly valuable these days,
and one of the most important reasons is because it is supported by all existing APIs. From
TensorFlow, Torch, Keras, and other deep learning frameworks to distributed computation
frameworks like Spark, Storm, Flink, and Pub/Sub streaming frameworks like Kafkas. Python is
now supported by every production-ready system available.
3.3. Machine Learning
Python is an interpreted language, which means it may be interpreted by a virtual machine
against any other machine language that the hardware recognises. It can also be utilised in
complex scenarios using variables, objects, complex arithmetic or Boolean expressions, and other
concepts to exponentially expand its demand and usability. Machine learning's growth has been
amazing in recent years, and it is swiftly transforming everything around us. Every day,
algorithms become more complex. Both Google's and Uber's search algorithms are totally
automated. In comparison to Java, machine learning libraries found more information around
Python, as the developer community currently prefers Python to anything else for machine
learning.
3.4. Web Development
Two out of three developers who previously worked with PHP have switched to Python for
backend development. Python's popularity has risen dramatically in the last two years as it has
proven to be a superior choice. It has a lot of useful libraries and frameworks, such as Flask and
Django, that make web development simple. Some of the most well-known product-based
platforms have embraced Python, including YouTube, Instagram, Facebook, Google, Netflix, and
Spotify. In web development, Python provides more robust code that may be used to form
flexible use cases, despite the prevalent view of Python. Python is simpler than languages such as
PHP. Its application in Web development is simple and effective. Python has some libraries and
frameworks Django, Flask, CubixWeb, TurboGears, Dash, Hug, Falcon, Bottle, etc that helps
web developers to complete their tasks quicker and with fewer lines of code.
According to BuildWith, there are2,46,163 websites that use Python as of February 2021. Among
world-famous companies that use this language are - Instagram, Google, Netflix, Reddit, IBM,
Facebook, Spotify, Quora, and Dropbox.
3.5. Google and YouTube
Python and C++ are used to develop Google's search engine. Python is the backbone of
YouTube. Python is used to power Google's engineering platform, code.google.com. Google has
used Python to create code review and system administration tools, as well as a binary data
pusher. Google has recently made significant investments in Python-based Artificial Intelligence,
Machine Learning, Data Analysis, and Robotics initiatives. Google has a number of open-source
projects based on Python, such as the Google Data Python Client Library, the Google AdWords
API Python Client Library, and the Google APIs Client Library for Python.

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3.6. Netflix
One of the world’s leading entertainment media service providers, Netflix has been using Python
as the main technology from the beginning. They use Python across all of their processes,
combining in-house software libraries with well-known Python packages.
To build and operate, a content delivery network (CDN) delivering Netflix movies and TV shows
to subscribers across the globe; To create in-house tools for capacity operations, regional
failovers, traffic distribution, and fleet efficiency of the Netflix cloud for the Demand
Engineering team; Statistical analytics and alerting; Automation tasks, Visualization, and Data
Exploration and Cleaning; Monitoring, Diagnostics, Alerting, and auto-remediation inside the
Insight Engineering team; Security automation, vulnerability identification, and risk
classification.
In addition to the use cases mentioned above, Netflix relies on Python for Machine Learning. The
algorithms they apply include: Recommendation algorithms to understand exactly what their
users are in the mood for; Artwork personalization algorithms – Since user preferences differ,
Netflix realized it’s better to find the best image for each user by pointing out the aspects of a title
that are directly related to the user’s interests; Marketing algorithms to save time on marketing –
With algorithms, Netflix has automated their paid marketing campaign.
3.7. Spotify
Backend services and data analysis are the two main areas where Python is used at Spotify.
Spotify places a premium on speed. Python fits well into this approach since it allows to achieve
significant development speed gains. Also make extensive use of Python async frameworks are
made to aid IO- bound services. The Python community is one of the things that makes it so
unique. Spotify contributes to the community in a variety of ways.
3.8. Reddit
Python hasn't always been a core component of Reddit. Reddit was originally built in Common
Lisp, but six months later it switched to Python. Reddit CEO Steve Huffman discussed the
company's move to Python at the Python Conference in 2009, for which there were two key
reasons. The first was that Python came with a larger library. The second advantage was the
code's writability, expressiveness, and readability. Reddit is the sixth most visited website in the
United States, with over 330 million monthly active users, over 21 billion monthly screen views,
and over 1,30,000 active communities. Reddit employs Python to handle huge loads and ensure
efficient and speedy performance.
4. LITERATUTRE SURVEY
A standard and scientific procedure, an Empirical Research Methodology is used to conduct the
survey on the chosen topic. Demographically, the total number of respondents were 900 among
which 650 were Male and 250 were Female of all the age groups above 18. The tools used in
performing this survey were: Direct Interaction, Emailing, social media, etc. The respondents
were from various parts of the globe like India, USA, UK, China, Singapore, Australia, New
Zealand, UAE, Germany, Japan, etc. The survey reports are as follows:

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4.1. Question 1
Did you learn Python Programming Language?
Figure 3. Survey of Question 1.
4.2. Question 2
From your study of Python Programming language, do you think it to be an easy and simple
programming language for a new bee to learn?
The survey for the second question, shows that 86.7% of the respondents feel that Python
programming language is an easy and simple programming language for a new bee to learn, in
comparison for 13.3%of the respondents did not feel it.
4.3. Question 3
Do you use the Python Programming Language frequently?

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The survey for the third question shows that 68.6% of the respondents use the Python
Programming Language frequently while 31.4% of the respondents do not.
4.4. Question 4
Do you think that studying Python is important for a person dreaming to become a techie as it can
be used in a wide range of coding scenarios?
The survey for the fourth question, shows that 98% of the respondents agree that studying Python
is important for a person dreaming to become a techie as it can be used in a wide range of coding
scenarios while 2% of the respondents did not agree with this point.
4.5. Question 5
Do you agree that Python is one of the in-demand programming languages for the world’s digital
industry in the present time?

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The survey for the fifth question, concludes that 99.8% of the respondents feel that the Python
programming language is one of the in-demand programming languages for the digital industry in
the present time, while 0.2% of the respondents did not feel that.
5. CONCLUSION
The goal of programming languages is to help one create well-coded computer code that will
make their business operations run more smoothly. Python could be a good language for writing
computer programmes in that regard. Python has all of the features that make for a wonderful
computer language
- a real language that’s appreciated and accepted across the globe.
One of the most widely used programming languages is Python. It is an open-source language
that is very user-friendly. Python's popularity is growing, and its applications are expanding in
practically every industry. It is abundant in every way. It has a wide range of capabilities. Python
is a popular programming language. It is also developing a strong market in the IT sector. Python
is in high demand across the board.
Everyone is all aware of the advantages of studying Python in today's work environment.
Learning Python can help one advance their career. Python has all of the attributes that make it
universally recognised and appreciated as a powerful programming language with easy code line
usage. It can also be readily maintained and debugged. One of the main reasons why Google
made Python an official programming language is because of this.
With each passing second, one can see that Artificial Intelligence, Machine Learning, Big Data,
Cloud Computing, Data Science are shining brightly in the eyes of every developer. As a result,
everyone, beginner or expert, is driving "popularity traffic" to Python. Python demand has
increased as a result of this. Also, world-famous companies such as Amazon, Google, Apple,
Deloitte, Microsoft, Netflix, and Accenture are among those companies with the most Python
developer job postings.
Python is a widely used computer language that was created almost 25 years ago. Python is
useful in a variety of fields, including Web Development, Desktop App Development, Machine
Learning, Big Data, Data Analysis, and Robotics. Clean syntax, extremely clear code, a wide
range of uses, packages that assist implement features, and a cool community that helps grow this

14
excellent language are just a few of the reasons why people like and prefer this language and why
it's well suited for different tasks. The Python programming language has a bright future.
Hence, it can be concluded that PYTHON-AN APPETITE FOR THE SOFTWARE INDUSTRY!
6. CONTRIBUTION
The contributions for this paper are done entirely by the author herself.
REFERENCES
[1] Al Sweigart, (2015) Automate the Boring Stuff with Python, 2nd Edition.
[2] Paul Barry, (2018) Head First Python ,2nd Edition.
[3] Allen Downey, Jeff Elkner & Chris Meyers, (2002) Learning with Python.
[4] Adnan Aziz, Tsung-hsien Lee & Amit Prakash, (2012) Elements of Programming Interviews in
Python: The Insiders' Guide.
[5] Luciano Ramalho, (2015) Fluent Python.
[6] Mike Mc Grath, (2017) Python in easy steps: Makes Programming Fun, Kindle Edition.
[7] Mark Lutz, (2013) Learning Python, O’Reilly Media Inc., 5th Edition.
[8] Mark Summerfield, (2008) Programming in Python.
[9] Addison– Wesley, (2009) A Complete Introduction to the Python, 2nd Edition.
[10] Reema Thareja, (2017) Python Programming, Oxford Press.
[11] https://anandology.com/python-practice-book/object_oriented_programming.html
[12] http://python-textbok.readthedocs.io/en/1.0/Object_Oriented_Programming.html
[13] http://www.tutorialspoint.com/python/python_classes_objects.html
[14] https://docs.python.org/3/
[15] https://www.futurelearn.com/info/blog/what-is-python-used-for
[16] https://www.siliconrepublic.com/careers/python-most-in-demand-coding-language-2022
[17] https://towardsai.net/p/l/8-interesting-facts-about-python-programming-language
[18] https://www.tiobe.com/tiobe-index/python/
AUTHOR
Saphalya Peta was born and raised in the city of Hyderabad, in the state of Telangana,
India. She is pursuing her third year of Bachelor of Engineering degree specialised in
Computer Science in Chaitanya Bharathi Institute of Technology. Her father’s name is
Suresh Kumar Peta and mother’s name is Saritha Devi Peta. Her hobbies are playing
badminton; writing and working on research papers, articles; serving as a social worker and
volunteer; coding. Her places of interests to work are Python, Web Development, Artificial
Intelligence, Data Science.

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