Important Julia Packages for Data-Science and Machine-Learning

Julia is able to run very well on you Ipython notebook Environment. After all, All you have to do is Data-Science and Machine-Learning. 🙂 2. DataFrames: Whenever you have to read lot of files in… Read more

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Scanning the sky with Julia on 8000 cores

Celeste, a statistical analysis model designed to enhance one of modern astronomy’s most time-tested tools—sky surveys—has gotten a major upgrade that dramatically scales up the process of cataloging astronomical objects.

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Compiling Julia to the GPU

After 2 years of slow but steady development, we would like to announce the first preview release of native GPU programming capabilities for Julia. You can now write your CUDA kernels in Julia, albeit with some restrictions, making it possible to use Juli... (more…)

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