juliastats.github.io

JuliaStats.org

Made easy in Julia. Easy to use tools for statistics and machine learning. Extensible and reusable models and algorithms. Efficient and scalable implementation. Community driven, and open source. We bring together a number of great packages. Basic functionalities for statistics. Descriptive statistics and moments. Arrays that allow missing data. Data arrays with missing values. Optimized representation of arrays comprised of repetitive values. Computational routines that work with missing values. A varie...

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Made easy in Julia. Easy to use tools for statistics and machine learning. Extensible and reusable models and algorithms. Efficient and scalable implementation. Community driven, and open source. We bring together a number of great packages. Basic functionalities for statistics. Descriptive statistics and moments. Arrays that allow missing data. Data arrays with missing values. Optimized representation of arrays comprised of repetitive values. Computational routines that work with missing values. A varie...

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10 autocorrelation and cross correlation

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JuliaStats.org | juliastats.github.io Reviews

https://juliastats.github.io

Made easy in Julia. Easy to use tools for statistics and machine learning. Extensible and reusable models and algorithms. Efficient and scalable implementation. Community driven, and open source. We bring together a number of great packages. Basic functionalities for statistics. Descriptive statistics and moments. Arrays that allow missing data. Data arrays with missing values. Optimized representation of arrays comprised of repetitive values. Computational routines that work with missing values. A varie...

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londonjulia.org

London Julia Users Group

http://londonjulia.org/index.php

London Julia Users Group. Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments, providing a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library. If you wish to speak at one of our meetups please get in contact. We are grateful to Skills Matter. For providing the facilities to hold the group's meetups. Originally see...

thoughts.chkwon.net

줄리아 언어를 소개합니다 (The Julia Language) - 잡생각 전문 블로그

http://thoughts.chkwon.net/the-julia-language

줄리아 언어를 소개합니다 (The Julia Language). Middot; February 17, 2015. 계산과학을 하시는 분들을 위한 컴퓨터 언어 이야기입니다. 줄리아 언어(The Julia Language). 라는 것이 있습니다. MIT에서 개발한 신생 언어입니다. 2012년에 처음 발표되었으니 굉장히 새로운 언어입니다. 한 번 써보니 너무 마음에 들어서 소개합니다. 저는 그리 복잡한 프로그래밍을 하지 않습니다. 그저 데이터 파일 읽어서, 수치해석(Numerical Analysis) 좀 하고, 최적화(Optimization) 문제의 해를 구하는 수치 알고리듬(Numerical Algorithm) 구현 좀 하고, 때로는 외부 라이브러리(특히 CPLEX)를 호출합니다. 그리고 그림 좀 그립니다. 이 목적으로 주로 MATLAB을 썼습니다. For-loop이 느립니다. 많이 개선되긴 했지만, for-loop이 굉장히 느려서, vectorization. 을 특별히 신경써가며 해야 합니다.

juliacon.org

JuliaCon 2015: Boston, MA.

http://juliacon.org/2015

JuliaCon 2015 was a huge success with a packed schedule. Special hotel pricing available - learn more. Conference will take place June 24th-27th, 2015. Wednesday-Saturday) at the Massachusetts Institute of Technology in Cambridge, Massachusetts. Expect cutting-edge technical talks, hands-on workshops, a chance to rub shoulders with Julia's creators, and a weekend in a city known for its historical significance and colonial architecture. Purchase tickets here. The Wednesday Hackathon is free. Workshop: In...

astrobiased.com

I ♥ Julia

http://www.astrobiased.com/2014/12/04/i-heart-julia

Dec 4, 2014. For the past half year I’ve been exploring Julia. In piecemeal fashion. It’s a language that does not conform to the traditional notions of programming. Julia is a high-level, dynamic language (like Python) and is on par with C and Fortran in performance. Julia to the rescue. In Julia’s eyes, the above is redundant. After the prototyping you should be done. Here’s a short list of features that I’m liking. Write with and without types. Call C functions with no wrappers or APIs. All Julia pack...

seaandsailor.com

A really brief introduction to audio signal processing in Julia | seaandsailor

http://www.seaandsailor.com/audiosp_julia.html

A really brief introduction to audio signal processing in Julia. Nov 03, 2014. If you are into scientific computing, you probably have already heard about Julia. The magical language that aims to be (almost) as fast as C and as easy as MATLAB and Python to write. I have been playing with Julia for more than a year now, and I really like it and recommend checking it out. Disclaimer: I am one of the developers! And give you something to play with. And the following packages:. Where PackageName is the name ...

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JuliaStats.org

Made easy in Julia. Easy to use tools for statistics and machine learning. Extensible and reusable models and algorithms. Efficient and scalable implementation. Community driven, and open source. We bring together a number of great packages. Basic functionalities for statistics. Descriptive statistics and moments. Arrays that allow missing data. Data arrays with missing values. Optimized representation of arrays comprised of repetitive values. Computational routines that work with missing values. A varie...

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