R beats Python! R beats Julia! Anyone else wanna challenge R? | Mad (Data) Scientist

« Before I left for China a few weeks ago, I said my next post would be on our Rth parallel R package. It’s not quite ready yet, so today I’ll post one of the topics I spoke on last night at the Berkeley R Language Beginners Study Group. Thanks to the group for inviting me, and thanks to Allan Miller for suggesting I address this topic. »

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5 New R Packages for Data Scientists

« One great beauty of the R ecosystem, and perhaps the primary reason for R’s phenomenal growth, is the system for contributing new packages. This, coupled to the rock solid stability of CRAN, R’s primary package repository, gives R a great advantage. However, anyone with enough technical knowhow to formulate a proper submission can contribute a package to CRAN. « 

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5 New R Packages for Data Scientists

« One great beauty of the R ecosystem, and perhaps the primary reason for R’s phenomenal growth, is the system for contributing new packages. This, coupled to the rock solid stability of CRAN, R’s primary package repository, gives R a great advantage. However, anyone with enough technical knowhow to formulate a proper submission can contribute a package to CRAN. « 

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Open Source Data Science at SXSW

« I have pitched a panel for next years SXSW in Austin, Texas, along with Karthik Ram from rOpenSci. The panel is called “Open Source Data Science”.

SXSW has a panel picker process where you submit ideas and then other people can vote for them. The popular ones get selected. So I need your help to make this one popular!

Panel description:
“We need more data scientists. According to a McKinsey Report higlighting the Impending Data Scientist Shortage 23 July 2013, ‘…by 2018 the United States will experience a shortage of 190,000 skilled data scientists, and 1.5 million managers and analysts capable of reaping actionable insights from the big data deluge.’ This panel will dive into how you can get started as a data scientist using open source tools and open data sources. This panel aims to inspire by giving concrete examples, cases and tool tips to would-be data scientists and geeks already working in the field.” »

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Open Source Data Science at SXSW

« I have pitched a panel for next years SXSW in Austin, Texas, along with Karthik Ram from rOpenSci. The panel is called “Open Source Data Science”.

SXSW has a panel picker process where you submit ideas and then other people can vote for them. The popular ones get selected. So I need your help to make this one popular!

Panel description:
“We need more data scientists. According to a McKinsey Report higlighting the Impending Data Scientist Shortage 23 July 2013, ‘…by 2018 the United States will experience a shortage of 190,000 skilled data scientists, and 1.5 million managers and analysts capable of reaping actionable insights from the big data deluge.’ This panel will dive into how you can get started as a data scientist using open source tools and open data sources. This panel aims to inspire by giving concrete examples, cases and tool tips to would-be data scientists and geeks already working in the field.” »

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