  Bridging cultures that have often been distant, Julia combines expertise from
the diverse fields of computer science and computational science to create a
new approach to numerical computing. Julia is designed to be easy and fast.
Julia questions notions generally held as "laws of nature" by practitioners of
numerical computing:
  1. High-level dynamic programs have to be slow.
  2. One must prototype in one language and then rewrite in another language
for speed or deployment, and
  3. There are parts of a system for the programmer, and other parts best left
untouched as they are built by the experts.
  We introduce the Julia programming language and its design --- a dance
between specialization and abstraction. Specialization allows for custom
treatment. Multiple dispatch, a technique from computer science, picks the
right algorithm for the right circumstance. Abstraction, what good computation
is really about, recognizes what remains the same after differences are
stripped away. Abstractions in mathematics are captured as code through another
technique from computer science, generic programming.
  Julia shows that one can have machine performance without sacrificing human
convenience.
