Forecasting of Programming Languages

This article sheds light on future of programming languages. Forecasting is the process of making predictions of the future as well as of the upcoming events based on past and present data and by analysis of trends. As the time changes at the rate of speed, same happens with the technologies. Some researchers even believe that technologies are changing faster than speed of light.

Programming is one of the primary skills in a data scientist's toolkit. Anticipating technology's future is nearly impossible as tools which are emerging today may or may not get a huge importance in the near future. Here, I have gathered a list of predictions for programming's future based on today's landscape in the market.

Big Database will dominate

Big data is a term used for data sets that are complex and traditional data processing application software are inadequate to deal with them. The term Big Data often refers to the use of predictive analytics, user behavior analytics as well as other advanced data analytics techniques that extract value from data. As organizations are looking towards Big Data to deliver valuable business insights, it made the traditional relational database management systems (RDBMS) obsolete that have been the standard for the past 30 years. There are a lot of advantages it provides such as cost efficiency, flexibility, performance, high availability and scalability.


JavaScript will dominate

JavaScript is a dynamic programming language that, when applied to an HTML document, can provide dynamic interactivity on websites. It is applied in environments which are not web based such as PDF documents, site-specific browsers and desktop widgets. This language is used by Android manufacturers to write code as Objective-C is used by I-phone manufactures. Developers have written a variety of tools on the JavaScript language and unlocked a vast amount of extra functionality with minimum effort. JavaScript is bringing functional program to the mainstreams. It is primarily a client-side scripting language used for front end development. It will remain a very popular language for years to come.

Android on every device

Android, world's heavily used mobile operating system, is going through a step change. Camera designers, threatened by mobile phones with good lenses and they have started making cameras by putting Android operating system in it. Nikon a camera manufacturing company comes with an android camera, where you can run Instagram while clicking photos. Android is gaining market in number of devices such as there are Android refrigerators, car stereos, watches, televisions, even headphones are available in the market. Some PC manufacturers are trying to run android on the Windows. Once they will get successful in this, we can run android apps on our desktop and laptop computers.

Internet of Things (IoT)

The Internet of Things is a system of interrelated computing devices and digital machines that are provided with unique identifiers and the ability to transfer data over a network without requiring human to human and human to computer interaction. It has evolved from the confluence of wireless technologies, micro services, micro-electromechanical system and the internet. The Internet of Things extended internet connectivity beyond traditional devices like desktop and laptop computers, tablets and smart-phones to a diverse range of devices. According to Gartner, consumer applications will drive the number of connected things and enterprise will account for most of the revenue.


GPU will replace CPU

The persons who love to play games know the power of their graphics cards. A graphics processing unit (GPU) is a computer chip that performs mathematical calculations, for the purpose of providing images. In the early days these calculations are performed by CPU (Central Processing Unit) which is now replaced by GPU. The GPU came into the way to offload the work of CPU by freeing up its processing power. The main purpose of GPU is to provide 3D graphics which comprises polygons. GPU has a parallel architecture consisting of thousands of smaller, more efficient cores which are designed for handling multiple tasks simultaneously.

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