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Julia is the fastest high performance open source computing language for data, analytics, algorithmic trading, machine learning, artificial intelligence, and other scientific and numeric computing applications. Julia solves the two language problem by combining the ease of use of Python and R with the speed of C++. Julia provides parallel computing capabilities out of the box and unlimited scalability with minimal effort. Julia has been downloaded more than 3.2 million times and is used at more than 1,500 universities.
"Path planning is computationally very expensive and requires high performance computing."
“Julia has the best of both worlds. When we are prototyping, we can rapidly create simple simulations or algorithms to perform general tests, taking advantage of the ease usually available …
"We were initially attracted to Julia because of the innovation we saw going on in the community. The computational efficiency and interactivity of the data visualization packages were exactly what …
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