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{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"Slow table parsing for huge tables","articleBody":"`from docx.table import _Cell, Table\nfrom docx.oxml.table import CT_Tbl            \n\n\nelif isinstance(child, CT_Tbl):\n      # table -\u003e JSON\n      # DEBUG\n      table_obj = Table(child, parent)\n      list_table = [[k.text for k in j.cells] for j in table_obj.rows]\n      str_table = self.list_to_md_table(list_table)\n      yield str_table`\n\nThis is my current code reads Word tables and converts them to JSON, but performance degrades significantly when handling large tables — for example, a 9000-row × 10-column table takes too long to parse.\n\nIs there a way to optimize or accelerate this process? Any suggestions for improving efficiency would be greatly appreciated! ","author":{"url":"https://github.com/Trace2333","@type":"Person","name":"Trace2333"},"datePublished":"2025-09-08T07:51:19.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":1},"url":"https://github.com/1516/python-docx/issues/1516"}