Language Skills, Not Math, Are Key to Learning to Code

A University of Washington study challenges conventional wisdom about learning to program. Researchers found that the speed and proficiency of learning Python are more strongly correlated with language aptitude and problem-solving skills than with mathematical ability. Using behavioral tests and EEG data, the study demonstrated that language skills significantly impact learning speed, surpassing the influence of math skills. This has crucial implications for programming education and talent recruitment, challenging the traditional view of programming as a purely math-intensive field and suggesting that women may be underestimated in the field.
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