Julia is a high-level, high-performance dynamic programming language for scientific computing that was created in 2009 by Stefan Karpinski, Viral B. Shah, and Alan Edelman. It compiles to efficient code for a number of architectures, making it a popular choice for parallel computing and data science tasks. Julia's developers describe the language as "a fast, dynamically typed, general-purpose programming language which offers strong support for mathematical and scientific computing." Julia has also been praised for its ease of use; while the syntax may appear unusual at first glance to those familiar with more traditional languages such as C or Java, it is designed to be intuitive and accessible.