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Objective To meaningfully organize scientific computing based on evidence gathered through user feedback, build a statistical package based on the findings and provide a replication packet to run similar studies on people with different backgrounds. Method A randomized controlled trial using a weighted, ranked choice survey (n = 118) with between-subjects design having two independent variables: Language Group (Matlab, Python and R) and Method Name options. Our dependent variable was a normalized preference rating. Findings There was a very small interaction between Language Group and Method Name. Language Group did not have a statistically significant effect, but Method Name did (F(4, 27037) = 2211.23, p < .001)(𝜂2 𝑝 = .247). Finally, many names in Matlab, Python and R were ranked so poorly that they were not statistically significantly different from a random word in 63.0%, 62.2% and 30.4% of concepts respectively. Implications We found organized and structured names were ranked by a large margin, suggesting statistical programming today likely needs considerable improvement. Finally, we outline a statistical package built using these principles, provide comparison scripts and describe some of the challenges from going from simple surveys to in-practice libraries. 

Despite the interest in equity, little research has considered students with disabilities in PreK-12 computer science education. The 2022 Computer Science Teachers Association and Kapor Center facilitated Landscape Survey of PreK-12 CS Teachers, which had over 2200 responses, gives us new insight. There were few significant differences between the experiences and perceptions of teachers with disabilities and those without. Accessibility was the least taught computing concept. Furthermore, teachers reported on a variety of barriers that students with disabilities encounter related to structural barriers, students choosing note to take CS, and teachers' perceptions of student ability. The findings point to the need for interventions related to resources, outreach, and policy.