Data science programming presents many challenges for programmers entering the field. Roughly, data science programming can be broken up into several activities: data wrangling, analysis, modeling, or visualization. Data wrangling is an important first step that involves cleaning and shaping tabular data--or dataframes--into a form amenable for…

One of the major issues related to teaching an introductory programming course is the excessive amount of time spent on the language's syntax, which leaves little time for developing skills in program design and solution creativity. The wide variation in the students' backgrounds, coupled with the traditional classroom (one size-fits-all) teaching…