A Wordcloud in Python
![Image](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj-wzGA3_7_-U3mlw_wiTQLOJTsN0v0-v0TKPQ4eT5nETuaV2Mo96lBkpjqh12X-RTxOdjcJloxo0qPxn0R-J_KDYn1DCqvIEpPjtEHucpp-vRQXCjtoIrz1i115exlxa0u6x_BYcKLBSc/s400/constitution_.png)
Last week I was at Pycon DE , the German Python conference. After hacking on scikit-learn a lot last week, I decided to to something different on my way back, that I had planned for quite a while: doing a wordl -like word cloud . I know, word clouds are a bit out of style but I kind of like them any way. My motivation to think about word clouds was that I thought these could be combined with topic-models to give somewhat more interesting visualizations. So I looked around to find a nice open-source implementation of word-clouds ... only to find none. (This has been a while, maybe it has changed since). While I was bored in the train last week, I came up with this code . A little today-themed taste: