Blog Archives

Accessing a Neo4j Graph Database Server from RStudio and Jupyter R Notebooks Using Docker Containers

April 12, 2016
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Accessing a Neo4j Graph Database Server from RStudio and Jupyter R Notebooks Using Docker Containers

In Getting Started With the Neo4j Graph Database – Linking Neo4j and Jupyter SciPy Docker Containers Using Docker Compose I posted a recipe demonstrating how to link a Jupyter notebook container with a neo4j container to provide a quick way to get up an running with neo4j from a Python environment. It struck me that

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Visualising F1 Stint Strategies

April 6, 2016
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Visualising F1 Stint Strategies

With the new F1 season upon us, I’ve started tinkering with bits of code from the Wrangling F1 Data With R book and looking at the data in some new ways. For example, I started wondering whether we might be able to learn something interesting about the race strategies by looking at laptimes on a

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Another Route to Jupyter Notebooks – Azure Machine Learning

March 31, 2016
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Another Route to Jupyter Notebooks – Azure Machine Learning

In much the same way that the IBM DataScientist Workbench seeks to provide some level of integration between analysis tools such as Jupyter notebooks and data access and storage, Azure Machine Learning studio also provides a suite of tools for accessing and working with data in one location. Microsoft’s offering is new to me, but

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New Version of “Wrangling F1 Data With R” Just Released…

February 5, 2016
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New Version of “Wrangling F1 Data With R” Just Released…

So I finally got round to pushing a revised (and typo corrected!) version of Wrangling F1 Data With R: A Data Junkie’s Guide, that also includes a handful of new section and chapters, including descriptions of how to detect undercuts, the new style race history chart that shows the on-track position of each driver for

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Using Jupyter Notebooks to Define Literate APIs

February 2, 2016
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Using Jupyter Notebooks to Define Literate APIs

Part of the vision behind the Jupyter notebook ecosystem seems to be the desire to create a literate computing infrastructure that supports “the weaving of a narrative directly into a live computation, interleaving text with code and results to construct a complete piece that relies equally on the textual explanations and the computational components” (Fernando

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The Rise of Transparent Data Journalism – The BuzzFeed Tennis Match Fixing Data Analysis Notebook

January 18, 2016
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The Rise of Transparent Data Journalism – The BuzzFeed Tennis Match Fixing Data Analysis Notebook

The news today was lead in part by a story broken by the BBC and BuzzFeed News – The Tennis Racket – about match fixing in Grand Slam tennis tournaments. (The BBC contribution seems to have been done under the ever listenable File on Four: Tennis: Game, Set and Fix?) One interesting feature of this

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IBM DataScientistWorkBench = OpenRefine + RStudio + Jupyter Notebooks in the Cloud, Via Your Browser

December 18, 2015
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IBM DataScientistWorkBench = OpenRefine + RStudio + Jupyter Notebooks in the Cloud, Via Your Browser

One of the many things on my “to do” list is to put together a blogged script that wires together RStudio, Jupyter notebook server, Shiny server, OpenRefine, PostgreSQL and MongDB containers, and perhaps data extraction services like Apache Tika or Tabula and a few OpenRefine style reconciliation services, along with a common shared data container,

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RStudio Clone for Python – Rodeo

December 17, 2015
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RStudio Clone for Python – Rodeo

So have you been looking for something like RStudio, but for Python? It’s been out for some time, but a recently updated release of Rodeo gives an increasingly workable RStudio-like environment for Python users. The layout resembles the RStudio layout – file editor top left, interactive console bottom left, variable inspector  and history top right,

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How to Run A Shiny App in the Cloud Using Tutum, Digital Ocean and Docker Containers

December 10, 2015
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How to Run A Shiny App in the Cloud Using Tutum, Digital Ocean and Docker Containers

Via RBloggers, I spotted this post on Deploying Your Very Own Shiny Server. I’ve been toying with the idea of running some of my own Shiny apps, so that post provided a useful prompt, though way too involved for me;-) So here’s what seems to me to be an easier, rather more pointy-clicky, wiring stuff

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Course Management and Collaborative Jupyter Notebooks via SageMathCloud

November 24, 2015
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Course Management and Collaborative Jupyter Notebooks via SageMathCloud

Prompted by a joint coursemodule team to look at options surrounding a “virtual computing lab” to support a couple of new level 1 (first year equivalent) IT and computing courses (they should know better?!;-), I had another scout around and came across SageMathCloud, which looks at first glance to be just magical:-) An open source,

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