Chemistry English is an essential component of the teaching in chemistry and chemical engineering majors at colleges and universities. To quickly acquire key professional vocabulary, a self-developed Python program was used to conduct word frequency analysis in Chemistry English. The analysis was based on comprehensive reviews from two different chemical fields and the titles of papers published in two high-impact international chemical journals in recent years. The results were then graphically displayed. The high-frequency vocabulary obtained can help teachers prepare lessons, assist students learn important professional words as well as aid the in targeted paper submissions. This study demonstrated the potential application of computer programming-assisted word frequency statistics in the teaching practice and research of Chemistry English.