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Building Programming Language Interpreters

Building Programming Language Interpreters

By : Daniel Ruoso
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Building Programming Language Interpreters

Building Programming Language Interpreters

By: Daniel Ruoso

Overview of this book

Designing a custom programming language can be the most effective way to solve certain types of problems—especially when precision, safety, or domain-specific expressiveness matters. This book guides you through the full process of designing and implementing your own programming language and interpreter, from language design to execution, using modern C++. You’ll start by exploring when and why building a domain-specific language is worth it, and how to design one to fit a specific problem domain. Along the way, you’ll examine real-world interpreter architectures and see how their design decisions affect language behavior, capabilities, and runtime trade-offs. The book then walks through the entire process of interpreter implementation: defining syntax, building a lexer and parser, designing an abstract syntax tree, generating executable instructions, and implementing a runtime. All examples are in modern C++, with a focus on clean architecture and real-world usability. By the end, you’ll have a fully working interpreter for a domain-specific language designed to handle network protocols—plus the knowledge and tools to design your own programming language from scratch. *Email sign-up and proof of purchase required
Table of Contents (25 chapters)
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1
Modeling the Programming Language Runtime Environment
7
Modeling the Programming Language Syntax
12
Implementing the Interpreter Runtime
16
Interpreting Source Code
24
Index

Summary

Programming languages have designs that navigate through many different paradigms on how the code has to be specified. Some languages adhere more strictly to one style than another, but it is still useful to consider those broad categories.

The imperative paradigm focuses on describing the operations the computer will have to do in order to solve a particular problem. There is an expected mapping from the code to what the computer will actually do.

The functional paradigm pushes the problem into the space of how values are transformed by functions, rather than how the state is manipulated by specific operations. The runtime is then able to choose different execution strategies without changes being required in the code.

Declarative programming languages tend to focus on specific environments and make it significantly more straightforward to solve problems in that particular space. They allow the runtime to decide how to solve operational problems in order to achieve...

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Tech Concepts
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Programming languages
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Building Programming Language Interpreters
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