On 13 Feb 2025, at 15:18, Stefan Behnel via lxml - The Python XML Toolkit wrote:
> Are you using the same versions of lxml (and libxml2) in both? > > There shouldn't be a difference in behaviour, except for the obvious language > differences (bytes/unicode). Based on the parsing code we use in Openpyxl, I'd agree with this. NB., we discovered that, for pure parsing, ie. you just want to get at the data, the standard library's etree module is often significantly faster, but YMMV. > Does the memory consumption stay constant over time or does it continuously > grow as it parses? > > Have you run a memory profiler on your code? Or a (statistical) line profiler > to see where the time is spent Excellent suggestions: memory_profiler and pympler are useful tools for this. Charlie -- Charlie Clark Managing Director Clark Consulting & Research German Office Sengelsweg 34 Düsseldorf D- 40489 Tel: +49-203-3925-0390 Mobile: +49-178-782-6226 _______________________________________________ lxml - The Python XML Toolkit mailing list -- lxml@python.org To unsubscribe send an email to lxml-le...@python.org https://mail.python.org/mailman3/lists/lxml.python.org/ Member address: arch...@mail-archive.com
