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HomeBackend DevelopmentPython TutorialSummary of points to note about parse trees

This article is to introduce to you examples of Python's implementation of parse trees and three types of binary tree traversal, pre-order traversal, in-order traversal, and post-order traversal. It is very detailed. Friends who need it can refer to it. Parse tree After completing the implementation of the tree, let's now look at an example to show you how to use the tree to solve some practical problems. In this chapter, we study parse trees. Parse trees are often used to represent real-world structures, such as sentences or mathematical expressions. Figure 1: Parse tree of a simple sentence Figure 1 shows the hierarchical structure of a simple sentence. Representing a sentence as a tree allows us to handle each independent structure in the sentence by using subtrees. Figure 2: The parse tree of ((7+3)*(5−2)) ​​is shown in Figure 2. We can express a mathematical expression similar to ((7+3)*(5−2)) A parse tree. We've looked at full bracket expressions, so how do we understand this expression? We know that multiplication has higher priority than addition or subtraction. Because of the relationship between parentheses, we need to calculate the addition or subtraction within the parentheses before doing the multiplication operation. The hierarchical structure of the tree helps us understand the order of operations of the entire expression.

1. 10 recommended articles about tree traversal

Summary of points to note about parse trees

##Introduction: This article introduces to you examples of Python's implementation of parse trees and three types of binary tree traversal, pre-order traversal, in-order traversal, and post-order traversal. It is very detailed. Friends who need it can refer to it. . Parse tree After completing the implementation of the tree, let's now look at an example to show you how to use the tree to solve some practical problems. In this chapter, we study parse trees. Parse trees are often used to represent real-world structures, such as sentences or mathematical expressions. Figure 1: Parse tree of a simple sentence Figure 1 shows the hierarchical structure of a simple sentence. Representing a sentence as a tree enables...

2. Use 10 hidden Easter eggs in Python

Summary of points to note about parse trees

Introduction: 1. Use re.DEBUG to view the matching process of regular expressions. Regular expressions are a major feature of Python, but debugging can be painful. It's easy to find a bug. Fortunately, Python can print out the parse tree of regular expressions and display the complete process of re.compile through re.debug. Once you understand the syntax, you can spot your mistakes. Here we can see that [/font] forgot to remove [

3. Detailed graphic explanation of Python parsing tree and tree traversal

Summary of points to note about parse trees

Introduction: This article introduces you to the implementation of parse trees in Python and the three traversals of binary trees, pre-order traversal and in-order traversal. The example of post-order traversal is very detailed. Friends who need it can refer to it.

4. MySQL Architecture


Introduction: Let’s start with the following figure: Take a look at MySQL's Logical Architecture. MySQL will parse the query and create an internal data structure (parse tree)

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