PPT-CSE341: Programming Languages
Author : sherrill-nordquist | Published Date : 2018-11-16
Lecture 14 Thunks Laziness Streams Memoization Dan Grossman Winter 2013 Delayed evaluation For each language construct the semantics specifies when subexpressions
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CSE341: Programming Languages: Transcript
Lecture 14 Thunks Laziness Streams Memoization Dan Grossman Winter 2013 Delayed evaluation For each language construct the semantics specifies when subexpressions get evaluated In ML Racket Java C. Lecture 11. Closures-. ish. Java & . C. Dan Grossman. Fall 2011. Higher-order programming. Higher-order programming, e.g., with . map. and . filter. , is great. Language support for closures makes it very pleasant. Lecture 9. Function-Closure Idioms. Dan Grossman. Fall 2011. More idioms. We know the rule for lexical scope and function closures. Now what is it good for. A partial but wide-ranging list:. Pass functions with private data to iterators: Done. Lecture 14. Introduction to Racket. Dan Grossman. Fall 2011. Racket. Next 2+ weeks will use the Racket language (not ML) and the . DrRacket. programming environment (not . emacs. ). Installation / basic usage instructions on course website. Chapter One. Modern Programming Languages, 2nd ed. . 1. Outline. What makes programming languages an interesting subject? . The amazing variety. The odd controversies. The intriguing evolution. The connection to programming practice. Introduction To Ruby; Dynamic OOP; "Duck Typing". Alan Borning. Autumn 2012. (slides borrowed from Dan Grossman). The plan. Lecture materials may not recount every little language feature we use. Thomas book . Lecture . 9. Function-Closure Idioms. Zach Tatlock. Winter 2018. More idioms. We know the rule for lexical scope and function closures. Now what is it good for. A partial but wide-ranging list:. Pass functions with private data to iterators: Done. CS 170b. Benjamin Gaska, much help from William Mitchell. What is a programming language. A simple definition:. A system for describing computation.. It is generally agreed that in order for a language to be . Lecture 14. Thunks. , Laziness, Streams, . Memoization. Dan Grossman. Spring . 2017. Delayed evaluation. For each language construct, the semantics specifies when . subexpressions. get evaluated. In ML, Racket, Java, C:. Lecture 17. Implementing Languages Including Closures. Dan Grossman. Autumn . 2018. Typical workflow. Autumn 2018. 2. CSE341: Programming Languages. "(. fn. x => x x) 4". Parsing. Call. Function. Lecture 18. Static vs. Dynamic Typing. Dan Grossman. Autumn . 2018. Key differences. Racket and ML have . much. . . in common. Key differences. Syntax. Pattern-matching vs. . struct. -tests and . accessor. Lecture 17. Implementing Languages Including Closures. Dan Grossman. Spring 2013. Typical workflow. Spring 2013. 2. CSE341: Programming Languages. "(. fn. x => x + x) 4". Parsing. Call. Function. Lecture 7. First-Class Functions. Dan Grossman. Spring 2019. What is functional programming?. “. Functional programming. ” can mean a few different things:. Avoiding mutation in most/all cases (done and ongoing). Lecture . 6. Nested Patterns. Exceptions. Tail Recursion. Dan Grossman. Spring . 2013. Nested patterns. We can nest patterns as deep as we want. Just like we can nest expressions as deep as we want. Often avoids hard-to-read, wordy nested case expressions. Lecture 9. Function-Closure Idioms. Dan Grossman. Fall 2011. More idioms. We know the rule for lexical scope and function closures. Now what is it good for. A partial but wide-ranging list:. Pass functions with private data to iterators: Done.
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