Will Python have Scope in the Next 20 Years?

As the third version of Python continues to be adopted by the enterprises, more and more students are coming forward to enroll into top industry courses for Python training. PST Analytics, a leading trainer in Data Analytics & Big Data tools, revealed that Python will continue to grow as a language for many years to come. Regarding the future scope of Python, many experts across the globe claim that it holds a good scope for the next two decades. Why? We have attributed the following reasons for Python’s accelerating popularity!

It has been noticed since time immemorial that any tool, device, or an idea which is relatively easier to learn, train and apply are much more favored for than by their counterparts. Python is no different. It is the ‘easier’ option available from a plethora of coding languages that is easy to learn, easy to apply and easy to scale even by the novice coders. Think of Python as being the ‘Automatic Transmission’ in a car compared to the ‘Manual’ transmission of the similar car model. Moreover, the fact that it is easier to learn and apply must not make you underestimate Python’s versatility. This programming language has built up some of the most dazzling commercial applications we use today.

The world is all hot for ‘Data’ as of now. And, it is likely to remain that way for many decades to come. Why? Because data gives businesses, authorities, and people the power to ‘know.’ Through advanced statistical operations and sophisticated analytics techniques, one can reveal invaluable insights that would otherwise have gone unnoticed. Since Big Data and Analytics are becoming integral aspects of our everyday lives, tools associated deeply with them are here to stay for a long term by default. Python is one such Big Data and Analytics tool!

Any program or any cause which is supported by a large global active community stays for a long time. This is what can be truly called as ‘technological impact,’ and Python has managed to create that impact. While many open-source programming languages face debugging and development issues due to the lack of community support, Python, on the other hand, fares better than them. Python’s community actively picks out the bugs, supports developers from across the world, create and publish free training material and manuals, and provide feedback for the release of newer versions of Python. This fact alone is a signal that Python holds a good scope for the next 15-20 years.

If one talks about disruptive technologies like Artificial Intelligence and Machine Learning, Python cannot be left out. In fact, Python dominates all the other programming languages like Java, Scala, C++, etc. when it comes to building AI applications. Python sports various libraries, frameworks and tools that enable developers to build AI applications with least possible effort and maximum precision. Python offers the following for AI and ML development just to give you a perspective;

• Artificial Intelligence: *pyDatalog, AIMA, EasyAI, SimpleAI, etc.
• *Machine Learning: PyML, pyBrain, Scikit-Learn, Graphlab Create, MIPy, etc.
• NLP & TP: *Quepy, Gensim, NLTK, etc.
• *Neural Networks: PyAnn, pyrenn, neurolab, etc.

While AI and ML are yet to take charge of our society’s progress, Python will aid the cause for the next 10-20 years.

The point of using a language that is easy is not mere comfort of the developers but also the significant reduction in lead development time and cost. Python developers use this language because of the same reason due to its excellent cross-platform compatibility. Once an application is coded in Python, it can run seamlessly on different operating systems like Windows, Linux, Mac OS, Ubuntu, etc. Developers don’t need to deploy ‘OS-Specific codes’ or make any change in the existing code to meet the application requirements for a different platform.

Even if Python goes out of business in the next 10 years (which is not going to happen!), there will be a surge in demand of skilled Python developers to maintain and operate legacy systems. For example, the following companies currently use this language to run their applications:

• Quora
• EdX
• Yahoo
• Pinterest
• Google
• YouTube
• NASA
• Spotify
• IBM
• Netflix
• Yelp
• Dropbox

While the above applications will only witness a rise in their user base as the new applications begin to make a mark in the market, Python engineers will be needed irrespective of Python’s continuation or Discontinuation!

So, embrace the power of this versatile tool to develop applications of mass benefit. Happy Pythoning!