1.
THE A - Z GUIDE OF PYTHON

2.
In Upcoming Slides……
 Introduction to Python
 Why learn Python?
 Benefits of Learning Python
 Why should you make a career in Python?
 Python Career Opportunities
 Python Job and Salary Trends in India

3.
INTRODUCTION TO PYTHON
• Python is a simple, general purpose, high level, and object-oriented
programming language.
• Python is an interpreted scripting language also. Guido Van Rossum is
known as the founder of Python programming.
• Python is easy to learn yet powerful and versatile scripting language, which
makes it attractive for Application Development.
• Python's syntax and dynamic typing with its interpreted nature make it an
ideal language for scripting and rapid application development.
• Python supports multiple programming pattern, including object-oriented,
imperative, and functional or procedural programming styles.

4.
Why learn python?
•Easy to use and Learn
•Interpreted Language
•Object-Oriented Language
•Open Source Language
•GUI Programming Support
•Integrated
•Embeddable
•Dynamic Memory Allocation
•Wide Range of Libraries and Frameworks

5.
Benefits Of Learning Python
Python programming is general in nearly every area, including:
•Data science
•Scientific and mathematical computing
•Web development
•Finance and trading
•System automation and administration
•Computer graphics
•Basic game development
•Security and penetration testing

6.
Why should you make a career in python?
Python has several APIs and libraries to support a lot of other things than
development, including data manipulation data analysis, and data visualization,
amongst others.
Python is found to one of the most popular programming frameworks for data
science across the world. It is also one of the best programming languages when it
comes to adaptability.

7.
Python Career Opportunities
Python developer:
This is one of the most direct jobs that you can expect
to land after acquiring this skill. Here are a few key responsibilities of
Python Developer.
1.Build websites
2.Resolve problems related to data analytics
3.Write codes that are both reusable and efficient
4.Optimize data algorithms
5.Implement data protection and security

8.
Product manager:
Product managers have a very important role to play
when it comes to helping businesses to understand the market and why
building one product will be better than building another. They study the
market, research for new features related to a particular product or
category, and advocate the building of certain products with facts.
Data analyst:
It is especially for those who like working with huge
amounts of data and finding meaning in that data. The companies are
looking for people skilled in Python because Pandas, SciPy, and
other Python libraries come in very handy in accomplishing this task.

9.
Machine learning engineer:
A machine learning engineer builds
and trains machines, programs, and other computer-based
systems to apply their learned knowledge for making
predictions. Python’s ability to work with data automation and
algorithms makes it the ideal programming language that can
be used in machine learning.
Many More like :-
 Software Engineer
 Research Analyst
 Data Scientist
 Software Developer

10.
Data Scientist, 811,313
DevOps Engineer, 638,487
Sr. Software Developer,
507,971
Software Developer,
494,214
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Data Scientist
DevOps Engineer
Sr. Software
Developer
Software
Developer
Salary(INR)
Job
Profile
JOB PROFILE AND SALARY
Salary(INR)

11.
THANK YOU
sakshijain@gmail.com +916787456731 www.python.org