Prof. Charles Redmond has produced a series of short courses on the udemy.com platform. The courses follow the principle of being finalized to a specific task, and the tasks, in the first three courses of the series, follow logically from each other. These first three courses are: R, GGPlot and Simple Linear Regression R, GGPlot …
When producing a plot using Python and matplotlib for publishing purposes, or to submit it as part of a report or for any professional use, some questions come to mind that not usually explained in one easy to retrieve place. True, everything is in the matplotlib documentation or can be easily found on stackoverflow. But …
After having become familiar with Ipython and its notebook mode (thanks to the MOOC Python pour les Scientifiques) , which allows to use the python language in an interactive and online way through a web browser, the familiarization with the R language through a more traditional (even if advanced) IDE like RStudio looks honestly like …
This book by Roger D. Peng is a suggested reading for the Coursera’s Johns Hopkins University Data Science Specialization. You can get it in electronic format from the Leanpub web site, for anywhere between free and 30 $. You decide how much you want to pay for it. The book is well written and flows …
July 6 2015 was one of the starting dates for the Data Scientist’s Toolbox course, taught by Prof. Jeff Leek of Johns Hopkins’ University. This course is an introductory overview of the other courses of Johns Hopkins’ Data Science Specialization available on Coursera. There are several interesting aspects in this specialization among which the use …
This article has the objective of scraping a web site with the purpose of generating a wordcloud out of its text. The wordcould visualization of text is something that is becoming more and more popular, and you find it more and more also in common TV shows, where some presenters have had the idea to …
Matplotlib is a powerful library, and it can be combined with a number of other powerful Python features. Here I would like to play with the cartopy geographical library, using Ipython notebook and keeping all the images generated inline. I am going to use two open data sources, one is the MapquestOSM, the other is …
This is the second of the series on the python libraries. I do not know how much I will write but remember, these are only learning notes. The inspiration came this time from the ever-present stackoverflow.com, with an article on making matplotlib graphs look like R by deafult. I am learning here, so for the …
This is the first of a series of articles dedicated to the python’s libraries for scientific use. The first library I would like to introduce is strictly related to my previous post about TF-IDF. In the vast world of python there is a library, gensim, which contains a series of tools to implement a tfidf …
Today I will tell you a bit about my trip to the world of Python for scientific usage, and about two of the libraries that I found more amazing in general: Mathplotlib and Pandas. Matplotlib is an amazing 2D and 3D graphics library for generating matematical plots.It includes: Support for LATEX formatted labels and texts …