Everyone in the field of software development and data science has already heard about the Python
programming language. Founded many years ago and named after Monty Python, it is one of the most
versatile and helpful languages for developers today. This programming language is used for high-ended
programming as well as general purpose coding. Big companies use python for coding nowadays and
that is the reason why it has a huge community all across the world. Learning python can give one
access to a large number of opportunities where one can find their right kind of career.
Why is python so popular?
There are various programming languages, but python remains one of the most favorite ones among
programmers and there are various reasons why. Some of the reasons are:
 Extensive libraries: there are many standard libraries that one can find while using python and
each of them has various modules which cover almost every subject that was ever coded about.
This reduces the time that is used to write lengthy codes.
 Low-level management: understanding and using python is not that difficult as the code is
written in simple near to English language syntax. This provides a better level of readability to
the codes and thus anybody with some basic knowledge can understand it.
 Third party modules: these third-party modules help the programmer in running these codes on
any system regardless of its operating platform. It can interact and improve itself according to
the platform without much trouble taken by the programmer.
 More productivity: python works on simultaneous code and test cycle, meaning one can test
their code continuously. This feature makes sure that bugs and incoherency are checked out
continuously and, therefore, does not cause any type of unnecessary segmentation fault.

Why learning python is effective?
As discussed above, it is quite clear that python is effective and, therefore, learning it will be worthwhile
for one’s career. Some of the reasons why one should have a python certification are:
 Adding Python to one's list of skills will increase one’s value in the job and so one can expect a
higher salary.

Learning python will be helpful in making one’s resume more effective and impressionable,
therefore, one can get better opportunities and job offers.
 One can find better jobs in various industries as python is used in varied sectors these days. The
most sought-after sector is data science, and if one is interested in big data, then learning
python is a must.
What are the different types of career opportunities?
There are various types of jobs when it comes to python programming language. Some of the common
ones are:
Software engineer: they write code and test them according to the user requirements. They
check already existing programs and develop them if needed.
 Senior software engineer: they perform a higher level of software engineer job, they develop
programming structure, debug the codes, verify and validate the programs.
 Data scientist: they obtain data from various sources and then analyze them using predictive
models and algorithms using a various programming language like python.

Resource box
Learning python will open many doors to various career opportunities and it will help in giving one’s
professional future a huge boost. It is also very important to make sure that one chooses the best
python course in Bangalore so that one can get the real value from their certification.

https://www.excelr.com/python-training-in-bangalore/

Author's Bio: 

Senior Data Scientist and Alumnus of IIM- C (Indian Institute of Management - Kolkata) with over 25 years of professional experience
Specialized in Data Science, Artificial Intelligence, and Machine Learning.
PMP Certified
ITIL Expert certified
APMG, PEOPLECERT and EXIN Accredited Trainer for all modules of ITIL till Expert
Trained over 3000+ professionals across the globe
Currently authoring a book on ITIL "ITIL MADE EASY"
Conducted myriad Project management and ITIL Process consulting engagements in various organizations. Performed maturity assessment, gap analysis and Project management process definition and end to end implementation of Project management best practices