The Future Scope of a Python Operators:The world is getting digitized. Data is king! With the ongoing digital transformation, we will slowly move towards an era of exabytes of data, and then to an era of zettabytes and yottabytes, and so on. The future is all about automating processes and utilizing the heaps of data to make intelligent decisions. This puts to the forefront technologies such as artificial intelligence (AI), machine and deep learning, Internet of Things (IoT), etc.
As these technologies lay the foundation for the future, programming languages associated with these emerging technologies are already gaining popularity. Therefore, this makes the position of languages such as R and Python, among others extremely powerful. With this blogpost, we will discuss the future scope of Python as a programming language and a career option for developer.
So, what is the future scope for Python developers? The answer is simple – promising!
Future Technologies are banking on Python:
Artificial Intelligence (AI) overarching technologies like machine learning, deep learning, neural networks and natural language processing (NLP) along with Big Data heavily bank on Python.
Released in 1989, Python is an object-oriented programming language (groups data and code into objects capable of modifying each other), which allows easy execution of tasks, enhanced stability and code readability. The programming language is easy to use, requires writing less codes and is therefore less time-consuming. Unlike earlier, the Anaconda platform has spruced up the speed. Another reason is its compatibility with Hadoop, themost popular open source Big Data platform. Read more on this here and some mistakes that Python developers must avoid while using it for Big Data here (link the previous blogpost).
In fact, Python is slowly yet steadily becoming the most preferred language for the field of Data Science. According to the interactive list of top programming languages by IEEE Spectrum, Python sits on the top of the table. It enjoys the top spot followed by C, Java and C++. A HackerRank survey sings to a similar tune. It reveals how Python is preferred by developers across all ages, citing the Love-Hate index. The report further adds, “Python is also the most popular language that developers want to learn overall, and a significant share already knows it.”
Python community can easily rely on the frameworks and libraries created especially for Artificial Intelligence and handling Big Data abilities.
Let’s take a look at the vast frameworks and libraries available for Python:
Python enthusiasts are continuously adding new libraries and frameworks. As aforesaid, some of these are especially handy at emerging technologies. For instance, in the field of Artificial Intelligence, PyML, PyBrain, scikit-learn, MIPy, etc. are readily available for machine learning; SimpleAI for General AI; neurolab, PyAnn, etc. for neural networks and Quepy for natural language and text processing. Similarly, for Big Data, toolkits and libraries such as NumPy, Pandas, Scikit-Learn, Bokeh are readily available.
Leading companies are already using Python programming language:
Going by the report from Cleveroad, some of the world-class companies are using Python either as a core language or in combination with other languages. We’ve mentioned some of these below:
Instagram:
This popular image sharing site has implemented Python 3 along with the popular Python framework Django, citing reasons like friendly relationship that the language shares with engineers and the speed of development, among others.
Spotify:
Reportedly, 80 percent of Spotify’s back-end services are based on Python, and the remaining on Java and C/C++. It deploys the Python language for back-end services as well as data analysis.
Amazon:
Amazon is believed to be among the companies using the Python programming language. It uses Python machine learning engine to analyzing consumer habits and making accurate product recommendations.
