May 1, 2024
Updated May 11, 2025
18 minute read
Lazy evaluation is a fascinating and powerful concept in computer science, particularly prominent in functional programming languages. At its core, lazy evaluation is an evaluation strategy that delays the computation of an expression until its value is actually needed. This approach contrasts sharply with eager evaluation (also known as strict evaluation), where expressions are evaluated as soon as they are bound to a variable. Imagine preparing ingredients for a complex recipe: eager evaluation is like chopping all your vegetables and measuring all your spices before you even turn on the stove, while lazy evaluation is like prepping each ingredient just before it's required in a step. This fundamental difference has profound implications for how programs are written and how they perform.
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Reading list
We've selected three books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Lazy Evaluation.
Provides a comprehensive overview of lazy functional programming, which includes discussions of fundamental concepts and the applications of lazy evaluation.
Provides a formal treatment of lazy data structures, which can be implemented with lazy evaluation.
Only addresses the concept of lazy evaluation in the context of continuation-passing style, although it provides an in-depth examination of lazy evaluation within this context.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/1666va/lazy