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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 solving modern computing problems

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Product type Paperback
Published in Dec 2021
Publisher Packt
ISBN-13 9781800204805
Length 494 pages
Edition 1st 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 (25) Chapters Close

Preface 1. Section 1: Programming Language Frontends
2. Chapter 1: Why Build Another Programming Language? FREE CHAPTER 3. Chapter 2: Programming Language Design 4. Chapter 3: Scanning Source Code 5. Chapter 4: Parsing 6. Chapter 5: Syntax Trees 7. Section 2: Syntax Tree Traversals
8. Chapter 6: Symbol Tables 9. Chapter 7: Checking Base Types 10. Chapter 8: Checking Types on Arrays, Method Calls, and Structure Accesses 11. Chapter 9: Intermediate Code Generation 12. Chapter 10: Syntax Coloring in an IDE 13. Section 3: Code Generation and Runtime Systems
14. Chapter 11: Bytecode Interpreters 15. Chapter 12: Generating Bytecode 16. Chapter 13: Native Code Generation 17. Chapter 14: Implementing Operators and Built-In Functions 18. Chapter 15: Domain Control Structures 19. Chapter 16: Garbage Collection 20. Chapter 17: Final Thoughts 21. Section 4: Appendix
22. Assessments 23. Other Books You May Enjoy 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. The following diagram 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 says what the maximum number of children a node can have is. 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...

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