Electrochemistry, being a measurement science, requires heavy data analysis and even simulations. For the latter, some excellent tools are readily available, the commercial ones being used in research and the open source options being left as teaching aids in undergraduate and graduate introductory courses. Electrochemical data analysis however, is still mostly done in a manual way by using software such as Origin or even Excel to import data, perform operations and plot the results. Although this is arguably enough for simple experiments, handling data for more complex experiments or with larger quantities of files is cumbersome. This can be automated with the help of programming languages such as Python and Matlab, however, it requires good enough programming skills.