The world of programming languages is one that is full of diversity and the main problem especially for mathematicians, data scientists and researchers is being able to settle on a single programming language that will be able to take care of any task that is on hand. In order to avoid such difficulties, the co-founders of Julia Computing have developed a general-purpose language which can be used by programmers as a means of training themselves. The language is said to be faster and easier to use as compared to other languages in existence and comes with benefits such as unlimited scalability. The language was created in 2009 as an open source project by the founders who include Karpinski, Viral Shah, Alan Edelman, Jeff Bezanson. It has sparked a huge response and led to the establishment of Julia Computing in 2015. The foundation provides paid training, support, and consultation to its clients although the language itself is free to use. Julia is quite revolutionary and it even empowers data scientists, physicists, financial traders and robot designers to come up with solutions to problems and not having to be necessarily programmers or hire programmers to translate their daily functions into computer code.
The Best of Both Worlds
Programming languages are typically split into two, static ones such as C, C++, and Fortran, which are fast in execution but slow in development; and dynamic languages such as Python, R and Matlab, which are often slow in their execution but provide for rapid development of solutions. This is something that the founders claim to have solved by allowing for the merging of functionality together with the speed which then allows for prototypes and complete products in the same language. This enables programmers to create solutions that are fast and responsive especially with tight deadlines and a strict working environment in which all the requirements that have been laid down by the customer have to be met in the final version of the product. Adoption is fast growing and has even exceeded forecasts and major companies are hiring programmers who are good at Julia to develop their solutions. The python challenges are definitely many and very tough especially for programmers who work under strict instructions. Whenever a company needs to scale up or make improvements to their workflow, such a programming shift can mean the difference between properly working applications and bogus products which are often slow and creaky.
How it all started
In 2009, Karpinski, together with Shah, at the University of California was seeking for a solution to simplifying the coding process and being in diverse locations, they had to work over email for most of the time. The first version to be made public was released in 2012 and was in a bid to democratize programming as well as meeting market demands for commercial products. The biggest challenge was keeping up with demand as each and every component had to be incrementally improved to allow for changes and the inclusion of new features that are requested by users and customers. Programming is quite an interesting field which has attracted the attention of almost all the fields and industry sectors world-over and with this comes solutions that are making life much easier and even more efficient for people who seek to create programs which will be able to handle massive datasets and move all this information securely.
Relevance for India
Since the core Julia language is a free and open source, it has got huge relevance for India and is said to be the best option for artificial intelligence, machine learning, deep learning as well as parallel computing whereas all these fields have a huge presence and amazing growth in India. Its also used for research at NASA and even MIT has a lab dedicated to the development of the language as well as for massive python challenges such as computing decision points in a logic table for identifying failures. Even with languages such as Java and C still being strong in their fields, Julia is definitely a good option for developers looking to prototype solutions in the most seamless of ways possible. As a developer who is passionate about programming and making solutions to common problems especially for the world heavily reliant on software applications, Julia is one of those timely reliefs that will surely see to it that all ideas and solutions for tough problems are prototyped more efficiently.