Future of Python Certified Professionals in Data Science and Artificial Intelligence.pptx

1. Contact Presenter
Manu Mohanan Nair
(+91) 9995 723 866
(+91) 8921 882 986
future@mmnair.com

3. The name ‘Python’ for a programming language might felt a bit
awkward!!
The language’s name isn’t about snakes, but about the popular British
comedy troupe Monty Python (from the 1970s).GuidoVan
Rossum(Creator of Python Language) himself is a big fan of Monty
Python’s Flying Circus. Being in a rather irreverent mood, he named
the project ‘Python’.
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4. Python programming language is not young at all. It was first released in 1991 by a Dutch
programmer, Guido van Rossum.
Python is a single man’s work.
Most of the other popular programming languages are developed and published by large
companies employing lots of professionals.
Python can be used for literally everything!
Python is so versatile, it is used in a vast variety of anything and everything including:
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• Web development
• Game development
• Machine Learning
• Image Processing
• Building scripts
• GUI for desktop applications
• Artificial Intelligence
• Ethical Hacking
• Configuring servers
• Performing scientific calculations
• Data Science

5. Machine Learning, Artificial Intelligence, neural networks, natural language processing, Big
Data, and deep learning are the future. And the great thing is everything is depending
on Python to a larger extent.
The Python community is large, and millions of users are a part of it. They are adding new
frameworks and libraries continuously. Some of these libraries and frameworks are
specially created and useful for emerging technologies.
The reason is Python developers’ scope is very promising since many big companies are
already using this programming language. Let us look at who and all using Python in
their daily operations.
Here is a list of few prominent names:
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• Spotify
• Instagram
• Disney
• Youtube
• Amazon
• Facebook

6. Scripting is basically any kind of automation we made to an infrastructure.
Scripting doesn’t needs high logic to perform, its is just a task to execute.
Script language writes a code (a Python code) and is incredibly simple to
understand, even if you are a newcomer.
Python uses less code. Less code makes the process run faster and is more
effective.
All of those devices out there will support python scripts regardless of their
make.
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7. The term hacking goes a long way back. To be exact, it all started at the
Railroad Club of MIT, where both the term ‘hacking’ and ‘hacker’
were first coined. It’s been almost 50 years now, and hacking has
evolved into a discipline in the current day and age.
Hackers generally develop small scripts and python being a scripting
language provides amazing performance for small programs.
Python has a huge community, hence any doubt related programming is
quickly solved by the community.
Learning Python also opens up your doors to several other career
opportunities
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8. Python is similar to the English language we use in everyday life. The simplicity of the syntax
allows you to deal with intricate systems and ensure that all the elements have a clear
relationship with each other. Thanks to this, more newbie coders can learn the language and
join the programming community faster.
Compared to other coding languages, such as Java, Python has a less-limited programming
approach. It has multiple paradigms and can support a multitude of programming styles,
including procedural, object-oriented, and functional ones.
Python is a popular choice for enterprise software applications, largely thanks to its smooth
integration with other languages traditionally used in enterprise development, such as Java,
PHP, and .NET.
Another good thing about Python is that it has many frameworks that simplify the development
process. Depending on what you’re doing, you may need different frameworks.
Let’s take a look at the most well-known Python frameworks:
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• Django
• Pyramid
• TurboGears
• Flask
• CherryPy
• CubicWeb

9. AI projects differ from traditional software projects. The differences lie in the technology
stack, the skills required for an AI-based project, and the necessity of deep research.
Python offers concise and readable code. While complex algorithms and versatile
workflows stand behind machine learning and AI, Python’s simplicity allows developers
to write reliable systems.
One key to Python’s popularity is that it’s a platform independent language. Python is
supported by many platforms including Linux, Windows, and macOS.
Implementing AI and ML algorithms can be tricky and requires a lot of time. It’s vital to
have a well-structured and well-tested environment to enable developers to come up
with the best coding solutions. Python has its own libraries to make these
implementations faster. To list a few AI/ ML libraries are:
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• Keras
• TensorFlow
• Seaborn
• OpenCV
• NLTK
• spaCy

10. One of the main reasons why Python is widely used in the scientific and
research communities is because of its ease of use and simple syntax
which makes it easy to adapt for people who do not have an engineering
background. It is also more suited for quick prototyping.
According to engineers, deep learning frameworks available with Python
APIs, in addition to the scientific packages have made Python incredibly
productive and versatile. There has been a lot of evolution in deep
learning Python frameworks and it’s rapidly upgrading.
Python Frameworks for Data Science:
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• NumPy
• Pandas
• Matplotlib
• Scipy
• Scikit Learn

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The most demanding programming language/ technology on 2021 – 22:

12. • As far as Python’s scope is concerned, it is and it will be increasing like never before. As per Stack
Overflow’s latest survey in 2021, Python overtook Javascript as the most popular language with
most questions in a month.This trend in increasing number of questions proves that Python is in
demand and the demand is increasing exponentially since 2012.
• Python is definitely the best language for data science &AI.These are already becoming big now,
so for the next 5 - 10 years, Python will be used by many professionals and corporations.
• Python programming language is dominating other programming languages such asC, C++ or
Java. Python is an Object-Oriented, High-Level multi-paradigm programming language with
dynamic features. It has undergone more than 25 years of the successful span and it is one of the
fastest growing programming languages.
• The main reason for such rise in popularity of Python language is because many doors have been
opened in the fields like image processing, data analytics, machine learning, artificial intelligence,
data science and many more.These fields where only theoretically possible over two decades ago.
But as languages like Python and R emerged, it is possible to make more and more explorations of
these fields using computers.
• In short, Python’s demand or in your words scope will not be degrading in near future.
Python will keep on increasing like never before!!!
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13. 2022@mmnair 13
Role/ Company TCS Accenture Amzn IBM Infy Wipro
Python Certified Ethical Hacker 7.50 Lakhs 8 Lakhs 14 Lakhs 14 Lakhs 8.78 Lakhs 8.5 Lakhs
Python Certified Data science
Engineer
8.25 Lakhs 8.50 Lakhs 15 Lakhs 15 Lakhs 8.88 Lakhs 8 Lakhs
Python Certified AI/ ML Professional 10.50
Lakhs
10.10 Lakhs 17 Lakhs 18 Lakhs 15.78 Lakhs 16 Lakhs
Python Certified DevOps Professional 15.50
Lakhs
16.15 Lakhs 18 Lakhs 18 Lakhs 15.78 Lakhs 16 Lakhs
Python Certified Web Developer 6.75 Lakhs 7 Lakhs 12 Lakhs 13 Lakhs 8.48 Lakhs 7.5 Lakhs
Python Web Developer (Non-
Certified)
5.50 Lakhs 5.50 Lakhs 9.50 Lakhs 8.75 Lakhs 6.28 Lakhs 6.7 Lakhs
Python Professional (Non-Certified) 4.50 Lakhs 4.6 Lakhs 6 Lakhs 6.25 Lakhs 4.78 Lakhs 4.6 Lakhs
On an average of Rs.6.88 Lakhs to Rs.22 Lakhs in India and $95k to $3.20 Lakhs in the US.
All the listed roles are for Fresher Professionals to IT.

14. • Certified Entry-Level Python Programmer (PCEP)
• Certified Associate in Python Programmer (PCAP)
• Certified Professional in Python Programming 1 (PCPP 1)
• Certified Professional in Python Programming 2 (PCPP 2)
• Certified Expert in Python Programming (CEPP)
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Certificates not only demonstrate that you have a good grasp of the subject but also
help organizations verify and build confidence in your ability to carry out the job and make
you more likely to be hired than someone without recognized certifications.
Here we are going to discuss the top Python certifications that you can go ahead with to
improve your probability to land a higher paying job. Top 5 Python Certification Exams For
2022:

15. Once you are a python developer, there is no looking a python professional,
let me tell you, python developer has space in every industry.
You can choose from a long list, But I suggest choosing what you love most,
to stay motivated most of the time.
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• Machine Learning and AI
• DataAnalyst or Data
Scientist.
• DevOps Professional
• Ethical Hacker
• Penetration tester/
SecurityTester
• Back-EndWeb Developer
• Bio Medical Professional.
• Scripts and Open-Source software
professional
• Software Engineer/Developer
I can assist you with career counseling, online training module along with
placement support. The most significant feature of the training course is the
live project and instructor-led training classes.

16. According to a recent survey, in the UK in 2015, Python
overtook French to be the most popular language taught in
primary schools. Out of 10, 6 parents preferred their children to
learn Python over French.
This is one of my favorite facts about Python programming.
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17. 2021 © mmnair
Contact Presenter
Manu Mohanan Nair
(+91) 9995 723 866
(+91) 8921 882 986
future@mmnair.com