Currently, Guilherme is a Master's student in the Forest Resources program at ESALQ/USP;

He holds a degree in Forest Engineering from the Federal Technological University of Paraná, and also dedicated part of his graduation as a professional in complex research by the Technological Research Institute;

Guilherme develops studies in urban perimeter management with the application of the principles of algebra in visual programming for the development of Landscape Modeled Information (LIM), at LABVERDE of the Faculty of Architecture and Urbanism at USP.

“As Cady Heron of Mean Girls once said, math is the same in every country.”

— Guilherme Landim-Santos — Behance

Well, if you accessed this page, it's probably because you're interested in the content produced in the class LCF5900 “Open and Reproducible Scientific Data Processing”. There were required 2 main tasks, and here they are:

1. To develop a Google Colab (Jupyter Notebooks, Python) using Climate Data from Piracicaba
2. With the same data & results from the first task, develop a RMarkdown!

and of course, all the data must be FAIR.

Here is my google colab Synoptic Chart

Here is my markdown vertopal.com_mapa_de_vetores_1_.pdf