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Build Your Own Programming Language

Build Your Own Programming Language

By : Clinton L. Jeffery
4.4 (17)
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Build Your Own Programming Language

Build Your Own Programming Language

4.4 (17)
By: Clinton L. Jeffery

Overview of this book

The need for different types of computer languages is growing rapidly and developers prefer creating domain-specific languages for solving specific application domain problems. Building your own programming language has its advantages. It can be your antidote to the ever-increasing size and complexity of software. In this book, you’ll start with implementing the frontend of a compiler for your language, including a lexical analyzer and parser. The book covers a series of traversals of syntax trees, culminating with code generation for a bytecode virtual machine. Moving ahead, you’ll learn how domain-specific language features are often best represented by operators and functions that are built into the language, rather than library functions. We’ll conclude with how to implement garbage collection, including reference counting and mark-and-sweep garbage collection. Throughout the book, Dr. Jeffery weaves in his experience of building the Unicon programming language to give better context to the concepts where relevant examples are provided in both Unicon and Java so that you can follow the code of your choice of either a very high-level language with advanced features, or a mainstream language. By the end of this book, you’ll be able to build and deploy your own domain-specific languages, capable of compiling and running programs.
Table of Contents (25 chapters)
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1
Section 1: Programming Language Frontends
7
Section 2: Syntax Tree Traversals
13
Section 3: Code Generation and Runtime Systems
21
Section 4: Appendix

Deciding on what kinds of data to support

There are at least three categories of data types to consider in your language design. The first one is atomic, scalar primitive types, often called first-class data types. The second is composite or container types, which are capable of holding and organizing collections of values. The third (which may be variants of the first or second categories) is application domain-specific types. You should formulate a plan for each of these categories.

Atomic types

Atomic types are generally built-in and immutable. You don't modify existing values; you just use operators to create new values. Pretty much all languages have built-in types for numbers and a few additional types. A Boolean type, null type, and maybe a string type are common atomics, but there are others.

You decide just how complicated to get with atomics: how many different machine representations of integers and real numbers do you need? Some languages might provide a single...

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