Speaker
Helena Brandao Malbouisson
(Universidade do Estado do Rio de Janeiro (BR))
Description
This presentation will highlight the socio-economic elements of Python. Considering the social differences in big cities like Rio de Janeiro, learning Python offers new opportunities for underprivileged groups. We will show how we use the combination of Python and the CMS Open data to encourage high-school students to follow their curiosity in STEM and how we foster this attraction through undergraduate projects at a later stage of their academic path.