Experienced electrical engineer Thomas Wettermann earned a bachelor's in engineering from Marquette University and an MBA from the University of North Carolina. Thomas Wettermann is also trained in several coding languages, including Python and R.
R and Python are two programming languages often used in the data science and analytics fields. R is mostly used in research-heavy sectors, such as academia or science, while Python is used across several industries. Deciding which programming language to use depends on several factors, including analyst experience, problem-solving methods, and the intended use of end results.
While R has many of the same capacities as Python, it is somewhat more limited. For this reason, R is mainly used for specific tasks, such as data cleaning, training algorithms, and making data dashboards and visualizations. Python, on the other hand, is far more flexible and integrates with numerous development applications. It is also considered easier to read and learn than R, but gaining mastery in Python is difficult due to its vast applications. R uses more complex language features, but it provides users with a simpler way of transforming data points into visual results, such as graphs and charts.
