Graph: github.com/ViralBShah/julia-presentations/raw/master/Fifth-Elephant-2013/Fifth-Elephant-2013.pdf
ͪΌΜͱॻ͔ͳ͍ͱ͘ͳΒͳ͍
e.g. ܕ, de-vectorization,…
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Graph: github.com/ViralBShah/julia-presentations/raw/master/Fifth-Elephant-2013/Fifth-Elephant-2013.pdf
ͪΌΜͱॻ͔ͳ͍ͱ͘ͳΒͳ͍
e.g. ܕ, de-vectorization,…
Fast Numeric Computation in Julia
Performance Tips — Julia Language documentation
Julia&in&Produc-on&
A"personal"journey"
Avik&&Sengupta&
JuliaCon&2014&
ˏJuliaCon
ʮࢥͬͯΔΑΓةͳ͘ͳ͍ʯ
(“Not as risky as it sounds”)
github.com/JuliaCon/presentations/tree/master/JuliaInProd
cpplover.blogspot.jp/2012/04/pythonjulia.html
“I believe Julia and Python is
a match made in heaven”
- Dag Sverre Seljebotn (Cython core developer)
Julia, Python and Cython - julia-dev | Google Groups
W H Y P Y T H O N I S T H E L A S T L A N G U A G E Y O U ' L L
H AV E T O L E A R N
Jake Vanderplas
jakevdp.github.io/blog/2012/09/20/why-python-is-the-last/
Julia’s Role in Data Science
John Myles White, 201310݄
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Julia’s Role in Data Science
John Myles White, 201310݄
ՄࢹԽπʔϧͷॆ࣮
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Julia’s Role in Data Science
John Myles White, 201310݄
ՄࢹԽπʔϧͷॆ࣮
PythonͱͷΑΓີͳ࿈ܞ
e.g. ϘτϧωοΫΛCythonͰͳ͘JuliaͰ࣮
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Julia’s Role in Data Science
John Myles White, 201310݄
ՄࢹԽπʔϧͷॆ࣮
PythonͱͷΑΓີͳ࿈ܞ
e.g. ϘτϧωοΫΛCythonͰͳ͘JuliaͰ࣮
σʔλɾΠϯϑϥͱ
ϞσϦϯάɾπʔϧͷվળ
R͔Βͷ౷ܭػೳͷϙʔτ
Scikit-learnͳͲͷPythonϥΠϒϥϦͷΠϯλʔϑΣΠεͷॆ࣮
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juliacon.org/
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2014/06/26~27 @ Chicago
্࢙ॳͷJuliaʹؔ͢Δձٞ
juliacon.org/
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2014/06/26~27 @ Chicago
্࢙ॳͷJuliaʹؔ͢Δձٞ
juliacon.org/
ϓϨθϯࢿྉ on GitHub
Videos: coming soon
‣ Learn X in Y minutes - where X=julia
‣ Forio Julia Tutorial
‣ Julia Tutorials @ MIT IAP
‣ Julia Tutorial @ DataGotham 2013 IJulia notebook
‣ Tutorial from the Cambridge Area Julia Users Network IJulia notebook
‣ Juliaຊ Vol.1
‣ ϓϩάϥϛϯάݴޠ Julia ୳๚ - Moriturus te saluto
!
ν ϡ ʔ τ Ϧ Ξϧ ͳ Ͳ
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‣ Leah Hanson: Julia Helps
‣ Reddit: The Julia Language Subreddit
‣ Stack Overflow: Newest 'julia-lang' Questions
‣ Quora: Julia (programming language)
!
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‣ “Julia: Fast Performance, Distributed Computing & Multiple Dispatch”
Stefan Karpinski @ Code Mesh 2013
‣ “Julia: A fresh approach to technical computing and data science”
Viral B. Shah @ Fifth Elephant 2013 (slide)
‣ “The Design Impact of Multiple Dispatch” iPython notebook
Stefan Karpinski @ Strange Loop 2013
‣ “Julia: A Fast Dynamic Language for Technical Computing”
Jeff Bezanson & Stefan Karpinski @ SciPy 2012
‣ “Julia and Python: a dynamic duo for scientific computing”
Jeff Bezanson & Stefan Karpinski @ SciPy 2013
‣ JuliaCon: Presentation Materials
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