Geographic Visualizations in Python with Cartopy

Cartopy is a cartographic Python library that was developed for applications in geographic data manipulation and visualization. It is the successor to the the Basemap Toolkit, which was the previous Python library used for geographic visualizations. Cartopy can be used to plot satellite data atop realistic maps, visualize city and country boundaries, track and predict movement based on geographic targeting, and a range of other applications relating to geographic-encoded data systems. In this tutorial, Anaconda 3 will be used to install Cartopy and related geographic libraries. As an introduction to the library and geographic visualizations, some simple tests will be conducted to ensure that the Cartopy library was successfully installed and is working properly. In subsequent tutorials: shapefiles will be used as boundaries, realistic city streets will be mapped, and satellite data will be analyzed.

Arduino Breathing LED Functions

In this tutorial - an Arduino board will be used in conjunction with an RGB LED to investigate several ways of replicating the breathing LED effect. Using the equation for a triangular wave, circular wave, and Gaussian wave, a breathing LED will be constructed. The amount of code needed for the simplest breathing LED is as little as two lines of code, while the more complex breathing functions grow in difficulty from there.