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A review of ‘R for Data Science’ book @hadleywickham #rstats #openscience

<b>Data science</b>Data science is a critical component of many domains of research including the domain I primarily function – ecology. However, in …

Working with databases in R

(This article was first published on <b> DataScience+</b>, and kindly contributed to R-bloggers)The dplyr package, which is one of my favorite R packages, …

Pandashells: Data Science with Python on the Command Line

I often find myself using a variety of unix commands, perl / sed / awk one-liners, and snippets of Python code to combine, clean, analyze, and …

Pipelining R and Python in Notebooks

(This article was first published on <b> Revolutions</b>, and kindly contributed to R-bloggers)by Micheleen Harris<br>Microsoft Data ScientistAs a Data …

Python data visualization: Comparing 7 tools

The Python scientific stack is fairly mature, and there are libraries for a variety of use cases, including machine learning, and data analysis. Data …

PyDataset

Provides instant access to many datasets right from Python (in pandas DataFrame structure).<p>What?<p>The idea is simple. There are various datasets …

Literate SQL using the WITH clause

<i>Literate programming</i> is an approach to programming introduced by Donald Knuth that, among other ideas, aims to arrange source code in order of human …

Google Launches Cloud Datalab, An Interactive Tool For Exploring And Visualizing Data

Google today launched Cloud Datalab, a new interactive developer tool for exploring, analyzing and visualizing data with just a few clicks. As Google tells us, the service is meant to help developers “get insights from raw data and explore, share and publish reports in a fast, simple and …