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…

This study aims to evaluate the trend and frequency of coding/programming activities in Information Technology (IT) courses, according to different parameters. The study was conducted through a survey of a private IT (Information Technology) teachers in different levels (like primary, secondary, and high schools), with questions focusing on the…

The software industry spends a tremendous amount of effort and resources on software testing and maintenance to improve the quality of software. However, a large portion of the cost may be saved by training high-quality software developers with better Computer Science education. Skilled software developers can not only produce code of fewer bugs…