Python Dash!

Let’s go to the point: Finally Python has what R used to have since a looong time ago with Shiny. This is nothing less than Python Dash, a Python framework for building  analytical applications (in the author’s own words). The library is based around Flask and Plotly, the installation is pretty easy and it is …

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Jupyter Notebook on Android tablet

All started with this article from Leonardo Uieda’s blog (thanks Leonardo). I had already tried to run Python on Android, using the Pyonic Python 3 interpreter.  Not bad, but… hey, it started to be hard to do anything else than the standard Python libraries. I needed something more. I needed all the standard libraries, numpy, …

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GoogleVis and R – Tutorial

During the first week of the “Developing Data Products” MOOC on Coursera, one of the lessons deals with GoogleVis. This is one of the ways to publish and animate your R charts. In practice GoogleVis provides an interface between R and the Google Charts Tools, allowing you to create interactive web charts from R without …

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Gapminder.org: A fact based world review

I have a new idol. When I discovered this web site, thanks to the referral in the “Getting and Cleaning Data” MOOC on Coursera, little did I know about the gapminder.org web site, about Professor Hans Rosling from Sweden and his work as a Statistician and Global Health expert. But what really is gapminder.org? In …

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