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| Paper: |
An Introduction to the Julia Programming Language |
| Volume: |
538, ADASS XXXII |
| Page: |
429 |
| Authors: |
Paul E. Barrett |
| DOI: |
10.26624/FWXU1137 |
| Abstract: |
The Julia programming language can be considered the successor to Scientific Python (SciPy). The language is designed for scientific computing by having
built-in multi-dimensional arrays and parallel processing features. Yet, it can also be
used as a general-purpose programming language like Python. Unlike Python, Julia
solves the two-language problem by using just-in-time (JIT) compilation to generate
machine code from high level expressions. In most cases, Julia is as fast as C, and
in some cases faster. Julia is also a composable language, so independent libraries or
packages usually work well together without any modification. These important features make Julia a very productive language for scientific software development by
reducing the number of lines of code. |
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