Python Programming is the hottest tech asset in the entire Banking and Finance Industry. Do you know the reason? The relative ease of use, high scalability coupled with ready-made libraries and components. Pythons unique modelling capabilities have also caught the attention of banking analyst, researchers, traders. Banks are hungry for high-level tech talents and non-niche programmers in order to surpass the current level of competition in the market. Therefore, Python has become a go-to language, overtaking Java, at investment banks and hedge funds. The application of python in risk management and trade management has raised its popularity among the Fin-techs and Banking services. Python coding classes have also been arranged for banking analyst and traders as part of their education programs. Moreover, during the last two years, the job openings for python coders has almost tripled in the finance-related sectors.
Why Python rule the Fin-tech and Finance projects?
The large standard libraries of tools in Python saves organizations from spending a lot of time to build them from scratch. Python also offers quicker deployment and less required code. This allows to release products rapidly and gives a competitive advantage over others. It also saves the most important company resource that is employee time. Furthermore, python comes in handy with various applications like analytics, data visualizations and powerful machine learning algorithms. This enables predictive analytics which is very valuable to all financial service providers.
Machine learning algorithms, data mining techniques outperform humans and correspondingly dominate the trade sector these days. Traders who deal with the stock market mostly requires predictive analytical insights into market conditions. For this reason, Python is a good choice as it creates solutions to predict future price movements and also allows backtesting.
Python is undoubtedly the fastest growing language in finance. The Wall Street “Big Banks” like J.P. Morgan, Citigroup along with Goldman Sachs is recruiting python engineers. Competition is on the rise. Python programming is a most-in-demand skill to score well in finance or fin-tech sector. This is the right time to learn this cutting edge language, add value to your tech stack and give a push to your career. Get trained in Python in Guwahati from an ISO certified institute with industry relevant courseware and world-class lab facilities. Livewire Guwahati will help you stand out against the current level of competition in the market.
The spectacular growth rate of Python language has ranked it among the top eight most popular programming languages in the TIOBE Index. A good reason for this is Python is an easy to learn, jack of all trades general purpose programming language. It’s the biggest advantage of Python that it has a lot of shortcuts, packages, plug-ins etc which makes it simple to learn new routines for beginners. There are so many tech giants and multi-billion dollar corporations that use Python over other developing language. You don’t believe it? Well Google, Yahoo, IBM, CIA and the NASA all use Python.
The top 5 companies that use this powerful and versatile language in their business are :
Google and Python
The engineering motto of the founders of Google, in the beginning, was: “Python where we can, C++ where we must”. Even at present, Python is Google’s official server-side languages along with Java, C++ and Go. Besides multiple libraries and components, Pythons ease of deployment and maintenance is the prime reason why a company as huge as Google relies on it. In fact, the largest video streaming platform in the world Youtube is all written in Python.
Facebook and Python
Facebook, with over a billion active users, is one of the top-notch companies in tech history. It is so popular that is is almost synonymous with the word social media. Due to its huge. Due to the huge size of the company, it’s tech stack comprises of a number of technologies and libraries. There was a recent official blog post from Facebook revealed that almost 21% of its infrastructure’s codebase is developed under Python. It comes as a surprise for the Python aficionados to learn that it is the third most popular language of the production engineers at Facebook.
Instagram and Python
It is a matter of fact that there would be no Instagram today without Python’s contribution. This multi-billion dollar social media wonder was built on Django, a high-level Python web- framework. The incredible user-friendly language is allowed Instagram to concentrate on user-facing features. Instagram, not only has scaled to become the biggest Python user in the world, But it has recently shifted to Python 3 which provides zero user experience interruption.
NETFLIX and Python
There is no arguing that Netflix is now a leading tech powerhouse having millions of subscribers to its online streaming videos. Two very important qualities of Netflix is its superior recommendations and analytics engine, which not only offers suggestions to its viewers but also predicts the kind of original content he/she should order. This is all possible due to Python, it’s has a rich battery-included standard library, a wealth of third-party libraries that have solutions to any given problems, a clean syntax and a dynamic list of small tools.
Reddit and Python
Reddit is everyone’s favourite source of interesting news, stories, memes and home to about 100k online communities. It was originally coded in LISP, but six months after the launch, it was again re-coded in Python. Reddit favours Python due to a wider range of code libraries, it’s simplicity and it’s open source approach.
At present, there are over 500 programming languages and the list keeps increasing each day. This has made it difficult for a novice to choose the most relevant one to invest their learning time. Nevertheless, Python comes with endless opportunities which have made it the most preferred language among the programmers. Python adoption has reached a new peak and even the world-class and successful software companies use this in their production. Python can actually be translated into real-world applications, as you can already see above.
Henceforth, there are huge real-world opportunities for Python developers in today’s work scenario. It is the right time to learn this multi-paradigm language and climb the stairs of a successful programming life. Livewire Guwahati provides you with the opportunity for a promising career in Python.