Research on the Path of Python Course Teaching Reform in the Past Decade
Abstract
Python-based courses in the past decade, this research selects 823 relevant journal articles indexed from 2016 to 2026 in the China National
Knowledge Infrastructure (CNKI) database as research samples. Utilizing the CiteSpace bibliometric tool, we conduct a scientific and systematic visual analysis of the keyword co-occurrence networks, thematic clustering distributions, and temporal evolution characteristics of these
sample documents. This analysis aims to identify and summarize the developmental patterns and evolutionary trends exhibited by existing
research, thereby providing a reference-based research foundation and directional guidance for future teaching reform initiatives for Pythonbased courses in China.
Keywords
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DOI: http://dx.doi.org/10.70711/frim.v4i9.10239
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