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This article mainly explains "what is the analytical formula of Python to XML". The content of the explanation in the article is simple and clear, and it is easy to learn and understand. Please follow the editor's train of thought to study and learn how the analytical formula of Python to XML is.

What is XML?

XML refers to Extensible markup language (eXtensible Markup Language), a subset of the standard general markup language. It is a markup language for marking up electronic documents to make them structural. You can learn XML tutorials through this site.

XML is designed to transfer and store data.

XML is a set of rules that define semantic tags that divide a document into many parts and identify them.

It is also a meta-markup language, that is, a syntactic language that defines other domain-specific, semantic, structured markup languages.

Analysis of XML by Python

Common XML programming interfaces are DOM and SAX, which deal with XML files in different ways, and of course they are used in different situations.

There are three ways for Python to parse XML,SAX,DOM and ElementTree:

1.SAX (simple API for XML)

The Python standard library contains SAX parsers. SAX uses an event-driven model to process XML files by triggering individual events and calling user-defined callback functions during parsing XML.

2.DOM (Document Object Model)

Parse the XML data into a tree in memory, and manipulate the XML through the operation of the tree.

The XML instance file movies.xml used in this section is as follows:

War, Thriller DVD 2003 PG 10 Talk about a US-Japan war Anime, Science Fiction DVD 1989 R 8 A schientific fiction Anime, Action DVD 4 PG 10 Vash the Stampede! Comedy VHS PG 2 Viewable boredom thank you for your reading, the above is the content of "what is the analysis of Python to XML". After the study of this article, I believe you have a deeper understanding of the problem of Python's analysis of XML, and the specific use needs to be verified in practice. Here is, the editor will push for you more related knowledge points of the article, welcome to follow!

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