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Build Your Own Programming Language

You're reading from   Build Your Own Programming Language A programmer's guide to designing compilers, interpreters, and DSLs for modern computing problems

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Product type Paperback
Published in Jan 2024
Publisher Packt
ISBN-13 9781804618028
Length 556 pages
Edition 2nd Edition
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Author (1):
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Clinton  L. Jeffery Clinton L. Jeffery
Author Profile Icon Clinton L. Jeffery
Clinton L. Jeffery
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Table of Contents (27) Chapters Close

Preface 1. Section I: Programming Language Frontends
2. Why Build Another Programming Language? FREE CHAPTER 3. Programming Language Design 4. Scanning Source Code 5. Parsing 6. Syntax Trees 7. Section II: Syntax Tree Traversals
8. Symbol Tables 9. Checking Base Types 10. Checking Types on Arrays, Method Calls, and Structure Accesses 11. Intermediate Code Generation 12. Syntax Coloring in an IDE 13. Section III: Code Generation and Runtime Systems
14. Preprocessors and Transpilers 15. Bytecode Interpreters 16. Generating Bytecode 17. Native Code Generation 18. Implementing Operators and Built-In Functions 19. Domain Control Structures 20. Garbage Collection 21. Final Thoughts 22. Section IV: Appendix
23. Answers
24. Other Books You May Enjoy
25. Index
Appendix: Unicon Essentials

Learning about trees

Mathematically, a tree is a kind of graph structure; it consists of nodes and edges that connect those nodes. All the nodes in a tree are connected. A single node at the top is called the root. Tree nodes can have zero or more children, and at most one parent. A tree node with zero children is called a leaf; most trees have a lot of leaves. A tree node that is not a leaf has one or more children and is called an internal node. Figure 5.1 shows an example tree with a root, two additional internal nodes, and five leaves:

Figure 5.1: A tree with a root, internal nodes, and leaves

Trees have a property called arity that specifies the maximum number of children that occur for any node in the tree. An arity of 1 would give you a linked list. Perhaps the most common kinds of trees are binary trees (arity = 2). The kind of trees we need has as many children as there are symbols on the right-hand side of the rules in our grammar; these are so-called n-ary...

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