: You can parse a file directly using ET.parse('file.xml') or a string using ET.fromstring(xml_data) .
While less common for modern applications, Python also supports alternative parsing models: How to parse xml using python
For most projects, is the best starting point due to its zero-dependency nature. However, if you find yourself needing advanced selection logic or processing multi-gigabyte files, switching to lxml is the logical next step. : You can parse a file directly using ET
: Significantly faster than the built-in ElementTree for large files. : Significantly faster than the built-in ElementTree for
The xml.etree.ElementTree module is the go-to choice for most Python developers because it is part of the standard library and offers a simple, hierarchical API.
For large datasets or tasks requiring complex queries, lxml is the industry standard. It is a third-party library that acts as a Pythonic binding for the C libraries libxml2 and libxslt .
: Unlike the basic path support in ElementTree , lxml supports full XPath 1.0, allowing you to select nodes with sophisticated logic (e.g., //book[price > 30]/title ).