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The book may be called the "green dragon book" to distinguish it from its successor, Aho, Sethi & Ullman's Compilers: Principles, Techniques, and Tools, which is the "red dragon book". [1] The second edition of Compilers: Principles, Techniques, and Tools added a fourth author, Monica S. Lam , and the dragon became purple; hence becoming the ...
In January 1962, when he was a graduate student in the mathematics department at Caltech, Knuth was approached by Addison-Wesley to write a book about compiler design, and he proposed a larger scope. He came up with a list of twelve chapter titles the same day.
Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. [33] Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional ...
First published in 1986, it is widely regarded as the classic definitive compiler technology text. [2] It is known as the Dragon Book to generations of computer scientists [3] [4] as its cover depicts a knight and a dragon in battle, a metaphor for conquering complexity. This name can also refer to Aho and Ullman's older Principles of Compiler ...
Software Design for Flexibility, by Chris Hanson and Gerald Jay Sussman; How to Design Programs (HtDP), which intends to be a more accessible book for introductory Computer Science, and to address perceived incongruities in SICP; Essentials of Programming Languages (EoPL), a book for Programming Languages courses
When code generation occurs at runtime, as in just-in-time compilation (JIT), it is important that the entire process be efficient with respect to space and time. For example, when regular expressions are interpreted and used to generate code at runtime, a non-deterministic finite-state machine is often generated instead of a deterministic one, because usually the former can be created more ...
Bootstrapping a compiler has the following advantages: [6] It is a non-trivial test of the language being compiled, and as such is a form of dogfooding. Compiler developers and bug reporters only need to know the language being compiled. Compiler development can be performed in the higher-level language being compiled.
The decorator pattern is a design pattern used in statically-typed object-oriented programming languages to allow functionality to be added to objects at run time; Python decorators add functionality to functions and methods at definition time, and thus are a higher-level construct than decorator-pattern classes.