PPT-1 CSC 533: Programming Languages

Spring 2017 Language features and issues variables amp bindings data types primitive complexstructured expressions amp assignments control structures subprograms We will focus on C C and Java as example languages. 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. 5.7. . . Jeevan. . Pramman. (e-Certificate) Services. Jeevan. . Pramaan. is a biometric enabled digital service for pensioners for providing. Digital Life Certificate of every Pensioner. It aims to streamline the process of. Spring . 2018. Background. machine .  assembly  high-level languages. software development methodologies. key languages. Syntax. grammars, BNF. derivation trees, parsing. EBNF, syntax graphs. Semantics. 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 . 1. A Type Is A Set. When you declare that a variable has a certain type, you are saying that the values the variable can have are elements of a certain set. A type is a set of values. plus a low-level representation. Classification of programming languages. “There are only two kinds of programming languages: those people always bitch about and those nobody uses.”. --. Bjarne. . Stroustrup. 1. . Generated using wordle.net from the text of this ppt file. 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 . 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. Winter 2013. Delayed evaluation. For each language construct, the semantics specifies when . subexpressions. get evaluated. In ML, Racket, Java, C:. 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 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 22. OOP . vs. Functional Decomposition; Adding Operators & Variants; . Double-Dispatch . Dan Grossman. Autumn . 2018. Breaking things down. In functional (and procedural) programming, break programs down into . Lecture 26. Course Victory Lap. Dan Grossman. Winter 2013. Final Exam. As also indicated in class-list . email:. Next . Thursday. , . 8:30-10:20. Intention is . to focus primarily on material since the midterm.