This MOOC is conceptually one of the most interesting ones that I have taken to date. It is based around the implementation of the concept of “Literate Programming”, introduced by Donald Knuth in his 1992 book, in which basically a system where documentation and “live” source code are presented in the same document. In the …
Ok, this is not Data Science. This is just for fun. I have to admit, I tend to mix up things. Here I am mixing up the German class I am taking with one of the visualizations that I prefer, the wordcloud. Not because it conveys a message about data, in this case is just …
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 …
Dante Alighieri and the wordcloud from his “Divine Comedy” What if you want to scrape a web page in a language other than English and generate the wordcloud from the page as I explained in my previous post. There is something missing, as you will find out. The STOPWORDS used in that example will not …
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 book by Joel Grus will give you an insight into the main topics of the Data Scientist daily work, in 25 chapters and around 300 pages. The book syllabus is available here, and you can explore it. If you buy from O’Reilly you can use the discount code on his web page (too bad …
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 …