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Future of the programming is faster, smarter, with fewer bugs. Those are the promises coming from the creators of the latest round of languages to capture the attention of programmers. The future of coding requires stability and good practices so our innovations will work. In fact, our projects are often so much bigger now, we need the innovation more than ever.

The newer approaches include more structure and more abstraction, allowing the languages to do what programmers used to have to do themselves. These automated features give the programmer more leverage to concentrate on the big issues.

Here are the top 10 future's most demanding programming languages -

1. JavaScript - JavaScript is a primarily client-side scripting language used for front-end development. JavaScript is compatible across all browsers and is used to create interactive web apps, often through libraries such as jQuery and front-end frameworks such as AngularJS, Ember.js, React, and more. Almost every website incorporates some element of JavaScript to add to the user experience, adding to the demand for JavaScript developers. In recent years JavaScript has also gained use as the foundation of Node.js, a server technology that among other things enables real-time communication.

2. R - R is a programming language and software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing.  It's more of a standard bearer for the world's current obsession with using statistics to unlock patterns in large blocks of data. R was designed by statisticians and scientists to make their work easier. It comes with most standard functions used in data analysis and many of the most useful statistical algorithms are already implemented as freely distributed libraries. It's got most of what data scientists need to do data-driven science.

3. Python - Python is a general purpose programming language that was named after the Monty Python. Python is simple and incredibly readable since closely resembles the English language. Python is another highly recommended language for beginners, and is the most popular introductory language at Top U.S. Universities. Developers have used Python to build desktop apps and web apps alike, and it has great tools for data mining. In addition, Python is particularly popular with the academic community for scientific computing, data analysis, and bioinformatics.

4. Java - Java is a general-purpose computer programming language that is concurrent, class-based, object-oriented, and specifically designed to have as few implementation dependencies as possible. Java isn't a new language. It's often everyone's first language. There are billions of JAR files floating around running the world.

5. SQL - SQL or Structured Query Language, is a query language used to communicate with databases. It can be found far and wide in various flavors. Database technologies such as MySQL, PostgreSQL and Microsoft SQL Server power big businesses, small businesses, hospitals, banks, universities. Indeed, just about every computer and person with access to technology eventually touches something SQL. For instance, all Android phones and iPhones have access to a SQL database called SQLite and many mobile apps developed Google, Skype and DropBox use it directly.

6. Go - Go is a free and open source programming language created at Google in 2007. It is a compiled, statically typed language in the tradition of Algol and C, with garbage collection, limited structural typing, memory safety features and CSP-style concurrent programming features added. When Google set out to build a new language to power its server farms, it decided to build something simple by throwing out many of the more clever ideas often found in other languages. There are no complex abstractions or clever meta programming in Go just basic features specified in a straightforward syntax.

7. PHP - PHP is a server-side scripting language and is usually considered beginner-friendly because it’s easier to conceptualize what the PHP code will do. Created by Danish-Canadian programmer Rasmus Lerdorf in 1994, PHP was never actually intended to be a new programming language. Instead, it was created to be a set of tools to help Rasmus maintain his Personal Home Page. Most websites have been built with PHP because the language is heavily specialized for the web.

8. Swift - In 2014, Apple decided to invent their own programming language. So they introduced Swift and strongly implied that it would replace Objective C for writing for the Mac or the iPhone. They recognized that creating header files and juggling pointers was antiquated. Swift hides this information, making it much more like writing in a modern language like Java or Python. Companies including American Airlines, LinkedIn, and Duolingo have been quick to adopt Swift, and we’ll see this language on the rise in the coming years.

9. TypeScript - TypeScript is a free and open source programming language. It is a strict superset of JavaScript, and adds optional static typing and class-based object-oriented programming to the language. TypeScript originated from the perceived shortcomings of JavaScript for the development of large-scale applications both at Microsoft and among their external customers. The TypeScript compiler, named tsc, is written in TypeScript that can be compiled into regular JavaScript that can be executed in any JavaScript engine in any host, such as a browser. The compiler package comes bundled with a script host that can execute the compiler. It is also available as a Node.js package that uses Node.js as a host.

10. C++ - C++ is a powerful language based on C. It is designed for programming systems software, but has also been used to build games/game engines, desktop apps, mobile apps, and web apps. C++ is powerful and fast to keeps an extensive list of applications written in C++. The list includes Adobe and Microsoft applications, MongoDB databases, large portions of Mac OS/X and is the best language to learn for performance-critical applications such as “twitch” game development or audio/video processing.