Most of us know, if you want a lucrative career and you are interested in coding – then data science is the way to go. Out of all the programming languages, Python stands out in the field of data science.
In a survey conducted by Business broadway, 93% of the respondents said that python is the most popular programming language in data science.
But why is python important in the data science world? Don’t worry we got it covered for you. In this blog we will see why python is a preferred programming language along with what major corporations that use python have to say about python.
Simplicity:
“Journyx technology, from the source code of our software to the code that maintains our Web site and ASP sites, is entirely based on Python. It increases our speed of development and keeps us several steps ahead of competitors while remaining easy to read and use. It’s as high level of a language as you can have without running into functionality problems. I estimate that Python makes our coders 10 times more productive than Java programmers, and 100 times more than C programmers.” — Curt Finch, CEO, Journyx
One of the main reasons why python is widely used is due to its simplicity. The syntax is very easy to read. Print(“i’m awesome”) , will directly print “i’m awesome”, as simple as that – No need for lines of code. Though it is simple, it is also a high level programming language and it is open source. There is no limit to its functionality and so you get your job done with minimal coding, compared to its counterparts. This simplicity helps in one more thing – Learning! Python is easy to learn even for beginners or for professionals with limited time to upskill. Python has a very easy learning path.
Opportunities:
“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.
There are many career opportunities in the field of data science for python programmers. Not only that, salaries are very competitive for those who are skilled with python programming.
Average per annum salary of a Data scientist and machine learning engineer is around 7 LPA. For a python programmer and python web developer the entry level salary is around 5 LPA.
Flexibility:
“Python enabled us to create EVE Online, a massive multiplayer game, in record time. The EVE Online server cluster runs over 50,000 simultaneous players in a shared space simulation, most of which is created in Python. The flexibility of Python have enabled us to quickly improve the game experience based on player feedback” – Hilmar Veigar Petursson of CCP Games.
Software development, web development, data analytics, mobile app development, game development and even data visualisation everything can be done with python. It is such a versatile programming language. And this flexibility allows developers to work across platforms and enrich the user experience. Now python is stepping its feet in the area of cloud services as well. If you want to innovate, then with its limitless possibilities python is the way to go. If you are developing a program or app you develop in one platform, with a minimal change in code, it is ready for another platform.
Scalability:
“Python makes us extremely productive, and makes maintaining a large and rapidly evolving codebase relatively simple,” – Mark Shuttleworth,Thawte Consulting
Very lucrative selling feature of python is that it excels in scalability. Python has more and more possibilities in solving a problem, meeting the requirements of different industries. This makes it highly scalable than its counterparts such as R or even matlab. Any problems that occurred can be fixed easily with the updates.
Libraries:
“I have the students learn Python in our undergraduate and graduate Semantic Web courses. Why? Because basically there’s nothing else with the flexibility and as many web libraries,” – Prof. James A. Hendler, University of Maryland
The key advantage of using python for data science is its libraries and framework. Python has lots of data analysis and data science libraries.Some of these libraries are pandas, NumPy, SciPy, StatsModels, and scikit-learn. It is a great addition in your development process and saves a lot of time and human effort while providing the solution.
Support:
Python is very well known for its support and community. Python data scientists extend their support and create more and more libraries. Unlike the other communities, the python community has lots of support and that is why data scientists love it. Every query you have, you are just one search away from finding the answer. It is open source, but has a robust community that even helps in learning as well.
Python helpful links:
Tutorial: http://docs.python.org/tutorial/
Language Reference: http://docs.python.org/reference/
News and updates:
Pythonware Daily: http://www.pythonware.com/daily/
Planet Python: http://planet.python.org/
Facts: http://www.ibiblio.org/swaroopch/byteofpython/read/
Communities
Irc Node: http://www.python.org/community/irc/
StackOverflow: http://stackoverflow.com/questions/tagged/python?sort=newest
Speed:
“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.
One of the best aspects of python is the prebuilt libraries it has. With the above discussed features like simple to code, prebuilt libraries and huge communities make it easier for developers to code and thus saving time.
The Verdict:
“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,” said Philip Peterson, Principal Engineer, Research & Development, Industrial Light & Magic.
Testimonials are from: https://www.python.org/about/quotes/
The bottom line is python is a very powerful programming language. The job market is very much competitive, but data science is here to stay and so is python. Not only data science, python has opportunities in other areas such as web development, report automations, finance and business and even in simulation.
Learning python can be a very much value added skill in your resume. If you have taken the wise decision of Upskill yourself with Python programming – contact us, our world-class trainers at www.peakin.in will help you every step of the way to achieve your goal. What more, we give you projects so you gain enough confidence to step into the world of data science!