Comparison of Haskell and Julia List Comprehensions

One of Haskell’s features that I really liked was _list comprehensions_, so I was very pleased to discover how nice Julia’s comprehensions are!… Read more


Julia for Biologists

Increasing emphasis on data and quantitative methods in the biomedical sciences is making biological research more computational. Collecting, curating, processing, and analysing large genomic and imaging data sets poses major computational challenges, as ... (more…)

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GPU-accelerated ODE solving in R with Julia

R is a widely used language for data science, but due to performance most of its underlying library are written in C, C++, or Fortran. Julia is a relative newcomer to the field which has busted out since its 1.0 to become one of the top 20 most used langu... (more…)

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