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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

Chapter 1

  1. It is much easier to generate C code than to generate machine code, but the resulting code may be larger or slower than native code, and a transpiler depends on an underlying compiler that may be a bit of a moving target.
  2. Lexical, syntax, and semantic analysis, followed by intermediate and final code generation.
  3. Classic pain points include input/output being overly difficult, especially on new kinds of hardware; concurrency; and making a program run across many different operating systems and CPUs. One feature that languages have used to simplify input/output has been to reduce the problem of communicating with new hardware via a set of strings in human-readable formats, for example, to play music or read touch input. Concurrency has been simplified in languages with built-in threads and monitors. Portability has been simplified in languages that provide their own high-level virtual machine implementation.
  4. This depends on your application domain of interest...

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