lindahua/Devectorize.jl
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A Julia framework for delayed expression evaluation
10 mentions on Hacker News by 8 people: 1 story, 9 comments · first 2013-02-12 · latest 2016-03-12
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Found this to be pretty handy at times: [Devec]( https://github.com/lindahua/Devectorize.jl ).
comment by elcritch · 2016-03-12 · in Julia: A Fast Language for Numerical Computing -
…and its vectorized operations are comparable to Numpy/R, although some cases can be optimized using https://github.com/lindahua/Devectorize.jl (see the benchmarks table)
comment by ced · 2015-10-14 · in Comparison – R vs. Python: head to head data analysis -
…this dual language annoyance, and enjoy the succinctness of pithy vectorized expressions using https://github.com/lindahua/Devectorize.jl
comment by srean · 2015-08-25 · in Python, Machine Learning, and Language Wars. A Highly Subjective Point of View -
…of words of vectorized expressions a whole lot, this is the reason why I am so excited about https://github.com/lindahua/Devectorize.jl
comment by srean · 2014-11-09 · in Julia: A fresh approach to numerical computing -
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Devectorize – A Julia Framework for De-vectorized Evaluationstory by rcthompson · 2014-07-01 · 0 comments
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I had to look up Devectorize.jl: https://github.com/lindahua/Devectorize.jl The point, I think, is not that vectorizing is slow. It's that you don't want to be myopic when you do it. Your point about time spent filling and copying vectors…
comment by scott_s · 2014-07-01 · in My Experience at JuliaCon -
You might be interested in: https://github.com/lindahua/Devectorize.jl (not 100% general yet AFAIK, but already very useful. The code is a great read too)
comment by ihnorton · 2014-04-04 · in How The Rise Of The "R" Computer Language Is Bringing Open Source To Science -
…write out loops by hand. Fortunately it seems some people are working on trying to solve that here: https://github.com/lindahua/Devectorize.jl
comment by dagw · 2013-11-26 · in Julia for Numerical Computation in MIT Courses -
…b + c .* d + a ... will devectorize the expression. It's not perfect, but it's definitely useful. https://github.com/lindahua/Devectorize.jl
comment by pygy_ · 2013-04-02 · in Comparison of Matlab, R, and Julia for data analysis (2012) -
…in the same language . See this recent contribution for a great example of what is possible: https://github.com/lindahua/Devectorize.jl This combination of meta-programming expressiveness with speed in one language is really quite…
comment by ihnorton · 2013-02-12 · in Julia, I love you (2012)