Macros

Clemens Heitzinger ()
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Clemens Heitzinger: Technische Universität Wien, Center for Artificial Intelligence and Machine Learning (CAIML) and Department of Mathematics and Geoinformation

Chapter Chapter 7 in Algorithms with JULIA, 2022, pp 131-152 from Springer

Abstract: Abstract For several decades, Lisp macros have been the state of the art in metaprogramming. Macros are expanded at the time when a program is read, and thus provide a mechanism for defining new language constructs by rewriting expressions at read time and before compile and evaluation time. In this chapter, the concept of macros is explained via the example of macros in Common Lisp, which is conducive for this purpose due to its uniform syntax. Then Julia macros and their building blocks are presented in detail. Finally, useful built-in Julia macros are discussed.

Date: 2022
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DOI: 10.1007/978-3-031-16560-3_7

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