Application Development: Groovy, JavaScript, Ruby Among Fastest Growing Programming Languages

Groovy

The Groovy language saw an increase of 166 percent in terms of jobs since November 2009. Groovy is a dynamic language for the Java platform.

C#

C# jobs listings increased 107 percent since November 2009. C# is Microsofts answer to Java.

COBOL

According to Simply Hired, COBOL jobs listings increased 101 percent since November 2009. Although COBOL is not very popular for new applications—its number 47 in the TIOBE Index—the increase in job opportunities suggests a growing number of application modernization projects for legacy systems.

JavaScript

JavaScript jobs increased 91 percent since November 2009. JavaScript is the language of the Web—for building Web applications.

Ruby

Ruby jobs increased 70 percent. This dynamic language has become a popular target for developing cloud apps.

PHP

PHP jobs increased 67 percent. PHP, a scripting language, is one of the most widely used languages for Web development and other uses.

Java

Java jobs increased a solid 54 percent since November 2009. Java remains by far the most popular programming language in the world and is No. 1 on the TIOBE Index.

Python

Python jobs increased 50 percent since November 2009. This dynamic language is catching on with Web developers and cloud players.

F#

F# jobs increased 46 percent. F# is a functional language that came out of Microsoft Research. The language cracked the TIOBE top 20 for the first time in August, when it took the 19th spot.

Perl

Perl programming jobs increased 26 percent since November 2009. Perl is a feature-rich dynamic programming language with more than 23 years of development.

C++

C++ programming jobs increased 22 percent. C++ is a popular general-purpose programming language used for systems software, applications software and a lot more.

Fortran

Fortran programming jobs decreased 6 percent since November 2009. Fortran is a general-purpose, procedural, imperative programming language that is especially suited to numeric computation and scientific computing.