Quote of the Day. CS Functional Programming. Introductory Notes on Lisp/Clojure. Another Quote. What is Clojure? 1-4

Size: px
Start display at page:

Download "Quote of the Day. CS Functional Programming. Introductory Notes on Lisp/Clojure. Another Quote. What is Clojure? 1-4"

Transcription

1 Quote of the Day CS Functional Programming Introductory Notes on Lisp/Clojure Dr. Stephen P. Carl By relieving the brain of all unnecessary work, a good notation sets it free to concentrate on more advanced problems, and, in effect, increases the mental power of the race. - Alfred North Whitehead Another Quote What is Clojure? In 1960, John McCarthy...showed how, given a handful of simple operators and a notation for functions, you can build a whole programming language. He called this language Lisp, for "List Processing". - Paul Graham Clojure is a programming language derived from Lisp, extended for concurrent/distributed computation and simplified web programming. Our job today is to learn the notation of Clojure by comparing it with Arithmetic and Algebra 1-4

2 Arithmetic is Computing Fixed, pre-defined rules for primitive operators: = = 8 cos(0) = 1 Note: the = sign is ambiguous, as we ll see. Let s replace it with the symbol read "evaluates to" Arithmetic is Computing Fixed, pre-defined rules for primitive operators: cos(0) 1 Rules for combining other rules: Evaluate sub-expressions first 4 (2 + 3) Precedence determines subexpressions: Algebra as Computation Algebra as Computation Definition: f(x) = cos(x) + 2 Expression (Function Call): f(0) A function call is an expression, which can then be evaluated. Evaluation: f(0) cos(0) The first step of evaluation is the substitution rule for functions 5-12

3 Notation Our algebraic notation is somewhat ambiguious, so we must answer the following questions: What are the precedence rules? Which parentheses are redundant? How do we know which arguments go with which operators? Why do some primitive operators (like ) go in the middle while others (like cos) go at the front? When does = mean definition and when does it mean a computation step? Simplified Expression Notation All operators come first (prefix notation) Start every operation with an open parenthesis Put a close parenthesis after the last argument Never add extra parentheses Old New (+ 1 2) (+ 4 (* 2 3)) cos(0) + 1 (+ (cos 0) 1) Clojure Syntax Clojure Syntax (operator parameter1 parameter2...) This is called an expression. For example: > ( ) 12.7 > ( ) 75 With very few exceptions, expressions always return a value. Expressions can be nested: > (+ (Math/cos 0) 2) 3 > (* ( ) ( )) > (Math/pow (* 2 (Math/sin 10)) (- x 32)) Compare to calling Java methods as arguments to other methods: Math.pow(2 * Math.sin(10), x - 32); 13-16

4 Clojure Syntax There is in principle no limit to the depth of such nesting and to the overall complexity of the expressions. For example: Simplified Definition Notation Use the keyword defn instead of = Put defn at the front, and group with parentheses Move open parenthesis from after function name to before (+ (* 3 (+ 2 4) (+ 3 5)) (+ (- 10 7) 6)) 57 Old New We use indentation to clarify gnarly expressions: (+ (* 3 (+ 2 4) (+ 3 5)) (+ (- 10 7) 6)) A good editor will enforce this f(x) = cos(x) + 2 (defn f [x] (+ (Math/cos x) 2)) Move open parenthesis in function calls Old New f(0) (f 0) f(2+3) (f (+ 2 3)) Evaluation is the Same as Before Only Values Have Types (defn f [x] (+ (Math/cos x) 2)) But Clojure and Erlang are dynamically typed. This means that values, not variables, have types. Variables take on the type of the value they hold. (f 0) (+ (Math/cos 0) 2) (+ 1 2) 3 In Clojure there are no variable declarations. To use a symbol as a variable, just define it with def: (def george 17) In Clojure (unlike Erlang), variables can be redefined on the fly. However we ll see that a related notion, immutability, is important for concurrent programming

5 Only Values Have Types Built-in Data Types Once a variable is defined, it can refer to any Clojure object. In both languages, variables have bindings rather than assignments. (def george 17) george 17 (def george "not a number!") george "not a number!" Note that rebinding a variable to a new value is not mutation in the sense of a Java assignment. The original value 17 still exists in some memory location. Clojure provides the following basic data types. Conceptually, all Clojure variables are pointers (references) to data in the same way Java object references are, but optimizations are possible. Numbers Java nums + arbitrary-length numbers + rationals Booleans true and false Characters \a, \A, \u00ff, \newline, \space Strings "treated just like in java.lang.string" Built-in Data Types Relational Operators These new types are also built-into Clojure: nil A single object, equivalent to null in Java Symbols Identifiers, evaluate to themselves Keywords Like symbols, used as accessors in collections Regex regular expressions Regular expressions are used in general purpose pattern matching in code, documents, etc. For example, the regex (p h)ail matches the words pail or hail and the regex (\d+)-(\d+) matches any numeric range, such as or The usual relational operators produce boolean values: (< 1 2) true (= 2 3) false (>= 2 2) true == works for numbers, = works for all objects 22-25

6 Collections Acknowledgements Clojure provides its own built-in collection types, plus access to the Java Collections Framework. Pairs/Lists '(a. b) or '(a b c d e) Vectors ['a 'b 12.5] Maps {:name "Stan" :age 25} Sets #{1 2 3} JFC (java.util.arraylist.100) These notes include work adapted from the following sources: Paul Graham - Hackers and Painters Rich Hicky - Matthew Flatt - notes for CS 2010, University of Utah Mark Johnstone - notes for CS 381K, University of Texas 26-27

Summer 2017 Discussion 10: July 25, Introduction. 2 Primitives and Define

Summer 2017 Discussion 10: July 25, Introduction. 2 Primitives and Define CS 6A Scheme Summer 207 Discussion 0: July 25, 207 Introduction In the next part of the course, we will be working with the Scheme programming language. In addition to learning how to write Scheme programs,

More information

SCHEME 8. 1 Introduction. 2 Primitives COMPUTER SCIENCE 61A. March 23, 2017

SCHEME 8. 1 Introduction. 2 Primitives COMPUTER SCIENCE 61A. March 23, 2017 SCHEME 8 COMPUTER SCIENCE 61A March 2, 2017 1 Introduction In the next part of the course, we will be working with the Scheme programming language. In addition to learning how to write Scheme programs,

More information

11/6/17. Functional programming. FP Foundations, Scheme (2) LISP Data Types. LISP Data Types. LISP Data Types. Scheme. LISP: John McCarthy 1958 MIT

11/6/17. Functional programming. FP Foundations, Scheme (2) LISP Data Types. LISP Data Types. LISP Data Types. Scheme. LISP: John McCarthy 1958 MIT Functional programming FP Foundations, Scheme (2 In Text: Chapter 15 LISP: John McCarthy 1958 MIT List Processing => Symbolic Manipulation First functional programming language Every version after the

More information

CPL 2016, week 10. Clojure functional core. Oleg Batrashev. April 11, Institute of Computer Science, Tartu, Estonia

CPL 2016, week 10. Clojure functional core. Oleg Batrashev. April 11, Institute of Computer Science, Tartu, Estonia CPL 2016, week 10 Clojure functional core Oleg Batrashev Institute of Computer Science, Tartu, Estonia April 11, 2016 Overview Today Clojure language core Next weeks Immutable data structures Clojure simple

More information

Fall 2018 Discussion 8: October 24, 2018 Solutions. 1 Introduction. 2 Primitives

Fall 2018 Discussion 8: October 24, 2018 Solutions. 1 Introduction. 2 Primitives CS 6A Scheme Fall 208 Discussion 8: October 24, 208 Solutions Introduction In the next part of the course, we will be working with the Scheme programming language. In addition to learning how to write

More information

STATS 507 Data Analysis in Python. Lecture 2: Functions, Conditionals, Recursion and Iteration

STATS 507 Data Analysis in Python. Lecture 2: Functions, Conditionals, Recursion and Iteration STATS 507 Data Analysis in Python Lecture 2: Functions, Conditionals, Recursion and Iteration Functions in Python We ve already seen examples of functions: e.g., type()and print() Function calls take the

More information

Scheme Tutorial. Introduction. The Structure of Scheme Programs. Syntax

Scheme Tutorial. Introduction. The Structure of Scheme Programs. Syntax Scheme Tutorial Introduction Scheme is an imperative language with a functional core. The functional core is based on the lambda calculus. In this chapter only the functional core and some simple I/O is

More information

Spring 2018 Discussion 7: March 21, Introduction. 2 Primitives

Spring 2018 Discussion 7: March 21, Introduction. 2 Primitives CS 61A Scheme Spring 2018 Discussion 7: March 21, 2018 1 Introduction In the next part of the course, we will be working with the Scheme programming language. In addition to learning how to write Scheme

More information

Fall 2017 Discussion 7: October 25, 2017 Solutions. 1 Introduction. 2 Primitives

Fall 2017 Discussion 7: October 25, 2017 Solutions. 1 Introduction. 2 Primitives CS 6A Scheme Fall 207 Discussion 7: October 25, 207 Solutions Introduction In the next part of the course, we will be working with the Scheme programming language. In addition to learning how to write

More information

Project 2: Scheme Interpreter

Project 2: Scheme Interpreter Project 2: Scheme Interpreter CSC 4101, Fall 2017 Due: 12 November 2017 For this project, you will implement a simple Scheme interpreter in C++ or Java. Your interpreter should be able to handle the same

More information

Welcome to CS 135 (Winter 2018)

Welcome to CS 135 (Winter 2018) Welcome to CS 135 (Winter 2018) Instructors: Sandy Graham, Paul Nijjar Other course personnel: see website for details ISAs (Instructional Support Assistants) IAs (Instructional Apprentices) ISC (Instructional

More information

Chapter 2, Part III Arithmetic Operators and Decision Making

Chapter 2, Part III Arithmetic Operators and Decision Making Chapter 2, Part III Arithmetic Operators and Decision Making C How to Program, 8/e, GE 2016 Pearson Education, Ltd. All rights reserved. 1 2016 Pearson Education, Ltd. All rights reserved. 2 2016 Pearson

More information

Week 2: The Clojure Language. Background Basic structure A few of the most useful facilities. A modernized Lisp. An insider's opinion

Week 2: The Clojure Language. Background Basic structure A few of the most useful facilities. A modernized Lisp. An insider's opinion Week 2: The Clojure Language Background Basic structure A few of the most useful facilities A modernized Lisp Review of Lisp's origins and development Why did Lisp need to be modernized? Relationship to

More information

A Simple Syntax-Directed Translator

A Simple Syntax-Directed Translator Chapter 2 A Simple Syntax-Directed Translator 1-1 Introduction The analysis phase of a compiler breaks up a source program into constituent pieces and produces an internal representation for it, called

More information

Clojure. The Revenge of Data. by Vjeran Marcinko Kapsch CarrierCom

Clojure. The Revenge of Data. by Vjeran Marcinko Kapsch CarrierCom Clojure The Revenge of Data by Vjeran Marcinko Kapsch CarrierCom Data Processing is what we do Most programs receive, transform, search, and send data Data is raw, immutable information In its essence,

More information

CS4120/4121/5120/5121 Spring 2016 Xi Language Specification Cornell University Version of May 11, 2016

CS4120/4121/5120/5121 Spring 2016 Xi Language Specification Cornell University Version of May 11, 2016 CS4120/4121/5120/5121 Spring 2016 Xi Language Specification Cornell University Version of May 11, 2016 In this course you will start by building a compiler for a language called Xi. This is an imperative,

More information

SCHEME 7. 1 Introduction. 2 Primitives COMPUTER SCIENCE 61A. October 29, 2015

SCHEME 7. 1 Introduction. 2 Primitives COMPUTER SCIENCE 61A. October 29, 2015 SCHEME 7 COMPUTER SCIENCE 61A October 29, 2015 1 Introduction In the next part of the course, we will be working with the Scheme programming language. In addition to learning how to write Scheme programs,

More information

Assoc. Prof. Dr. Marenglen Biba. (C) 2010 Pearson Education, Inc. All rights reserved.

Assoc. Prof. Dr. Marenglen Biba. (C) 2010 Pearson Education, Inc. All rights reserved. Assoc. Prof. Dr. Marenglen Biba (C) 2010 Pearson Education, Inc. All rights reserved. Java application A computer program that executes when you use the java command to launch the Java Virtual Machine

More information

Lecture 19: Functions, Types and Data Structures in Haskell

Lecture 19: Functions, Types and Data Structures in Haskell The University of North Carolina at Chapel Hill Spring 2002 Lecture 19: Functions, Types and Data Structures in Haskell Feb 25 1 Functions Functions are the most important kind of value in functional programming

More information

Ruby: Introduction, Basics

Ruby: Introduction, Basics Ruby: Introduction, Basics Computer Science and Engineering College of Engineering The Ohio State University Lecture 3 Ruby vs Java: Similarities Imperative and object-oriented Classes and instances (ie

More information

SCHEME The Scheme Interpreter. 2 Primitives COMPUTER SCIENCE 61A. October 29th, 2012

SCHEME The Scheme Interpreter. 2 Primitives COMPUTER SCIENCE 61A. October 29th, 2012 SCHEME COMPUTER SCIENCE 6A October 29th, 202 In the next part of the course, we will be working with the Scheme programming language. In addition to learning how to write Scheme programs, we will eventually

More information

A Small Interpreted Language

A Small Interpreted Language A Small Interpreted Language What would you need to build a small computing language based on mathematical principles? The language should be simple, Turing equivalent (i.e.: it can compute anything that

More information

LECTURE 17. Expressions and Assignment

LECTURE 17. Expressions and Assignment LECTURE 17 Expressions and Assignment EXPRESSION SYNTAX An expression consists of An atomic object, e.g. number or variable. An operator (or function) applied to a collection of operands (or arguments)

More information

Symbolic Programming. Dr. Zoran Duric () Symbolic Programming 1/ 89 August 28, / 89

Symbolic Programming. Dr. Zoran Duric () Symbolic Programming 1/ 89 August 28, / 89 Symbolic Programming Symbols: +, -, 1, 2 etc. Symbolic expressions: (+ 1 2), (+ (* 3 4) 2) Symbolic programs are programs that manipulate symbolic expressions. Symbolic manipulation: you do it all the

More information

Scheme: Data. CS F331 Programming Languages CSCE A331 Programming Language Concepts Lecture Slides Monday, April 3, Glenn G.

Scheme: Data. CS F331 Programming Languages CSCE A331 Programming Language Concepts Lecture Slides Monday, April 3, Glenn G. Scheme: Data CS F331 Programming Languages CSCE A331 Programming Language Concepts Lecture Slides Monday, April 3, 2017 Glenn G. Chappell Department of Computer Science University of Alaska Fairbanks ggchappell@alaska.edu

More information

Intro. Scheme Basics. scm> 5 5. scm>

Intro. Scheme Basics. scm> 5 5. scm> Intro Let s take some time to talk about LISP. It stands for LISt Processing a way of coding using only lists! It sounds pretty radical, and it is. There are lots of cool things to know about LISP; if

More information

The SPL Programming Language Reference Manual

The SPL Programming Language Reference Manual The SPL Programming Language Reference Manual Leonidas Fegaras University of Texas at Arlington Arlington, TX 76019 fegaras@cse.uta.edu February 27, 2018 1 Introduction The SPL language is a Small Programming

More information

Functional Programming Languages (FPL)

Functional Programming Languages (FPL) Functional Programming Languages (FPL) 1. Definitions... 2 2. Applications... 2 3. Examples... 3 4. FPL Characteristics:... 3 5. Lambda calculus (LC)... 4 6. Functions in FPLs... 7 7. Modern functional

More information

Lambda Calculus. Variables and Functions. cs3723 1

Lambda Calculus. Variables and Functions. cs3723 1 Lambda Calculus Variables and Functions cs3723 1 Lambda Calculus Mathematical system for functions Computation with functions Captures essence of variable binding Function parameters and substitution Can

More information

CS 6110 S14 Lecture 1 Introduction 24 January 2014

CS 6110 S14 Lecture 1 Introduction 24 January 2014 CS 6110 S14 Lecture 1 Introduction 24 January 2014 1 Introduction What is a program? Is it just something that tells the computer what to do? Yes, but there is much more to it than that. The basic expressions

More information

Overview of the Ruby Language. By Ron Haley

Overview of the Ruby Language. By Ron Haley Overview of the Ruby Language By Ron Haley Outline Ruby About Ruby Installation Basics Ruby Conventions Arrays and Hashes Symbols Control Structures Regular Expressions Class vs. Module Blocks, Procs,

More information

Rule 1-3: Use white space to break a function into paragraphs. Rule 1-5: Avoid very long statements. Use multiple shorter statements instead.

Rule 1-3: Use white space to break a function into paragraphs. Rule 1-5: Avoid very long statements. Use multiple shorter statements instead. Chapter 9: Rules Chapter 1:Style and Program Organization Rule 1-1: Organize programs for readability, just as you would expect an author to organize a book. Rule 1-2: Divide each module up into a public

More information

FRAC: Language Reference Manual

FRAC: Language Reference Manual FRAC: Language Reference Manual Justin Chiang jc4127 Kunal Kamath kak2211 Calvin Li ctl2124 Anne Zhang az2350 1. Introduction FRAC is a domain-specific programming language that enables the programmer

More information

INF4820: Algorithms for Artificial Intelligence and Natural Language Processing. Common Lisp Fundamentals

INF4820: Algorithms for Artificial Intelligence and Natural Language Processing. Common Lisp Fundamentals INF4820: Algorithms for Artificial Intelligence and Natural Language Processing Common Lisp Fundamentals Stephan Oepen & Murhaf Fares Language Technology Group (LTG) August 30, 2017 Last Week: What is

More information

2.5 Another Application: Adding Integers

2.5 Another Application: Adding Integers 2.5 Another Application: Adding Integers 47 Lines 9 10 represent only one statement. Java allows large statements to be split over many lines. We indent line 10 to indicate that it s a continuation of

More information

Welcome to CS 135 (Fall 2018) Themes of the course. Lectures. cs135/

Welcome to CS 135 (Fall 2018) Themes of the course. Lectures.   cs135/ Welcome to CS 135 (Fall 2018) Instructors: Byron Weber Becker, Charles Clarke, Gord Cormack, Robert Hackman, Kevin Lanctot, Paul Nijjar, Adrian Reetz Other course personnel: see website for details ISAs

More information

12/22/11. Java How to Program, 9/e. Help you get started with Eclipse and NetBeans integrated development environments.

12/22/11. Java How to Program, 9/e. Help you get started with Eclipse and NetBeans integrated development environments. Java How to Program, 9/e Education, Inc. All Rights Reserved. } Java application programming } Use tools from the JDK to compile and run programs. } Videos at www.deitel.com/books/jhtp9/ Help you get started

More information

Functional programming in LISP

Functional programming in LISP Programming Languages Week 4 Functional programming in LISP College of Information Science and Engineering Ritsumeikan University review of part 3 enumeration of dictionaries you receive a sequence of

More information

Introduction to Programming Using Java (98-388)

Introduction to Programming Using Java (98-388) Introduction to Programming Using Java (98-388) Understand Java fundamentals Describe the use of main in a Java application Signature of main, why it is static; how to consume an instance of your own class;

More information

Functional Programming. Big Picture. Design of Programming Languages

Functional Programming. Big Picture. Design of Programming Languages Functional Programming Big Picture What we ve learned so far: Imperative Programming Languages Variables, binding, scoping, reference environment, etc What s next: Functional Programming Languages Semantics

More information

Principles of Programming Languages 2017W, Functional Programming

Principles of Programming Languages 2017W, Functional Programming Principles of Programming Languages 2017W, Functional Programming Assignment 3: Lisp Machine (16 points) Lisp is a language based on the lambda calculus with strict execution semantics and dynamic typing.

More information

Overloading, Type Classes, and Algebraic Datatypes

Overloading, Type Classes, and Algebraic Datatypes Overloading, Type Classes, and Algebraic Datatypes Delivered by Michael Pellauer Arvind Computer Science and Artificial Intelligence Laboratory M.I.T. September 28, 2006 September 28, 2006 http://www.csg.csail.mit.edu/6.827

More information

SCHEME AND CALCULATOR 5b

SCHEME AND CALCULATOR 5b SCHEME AND CALCULATOR 5b COMPUTER SCIENCE 6A July 25, 203 In the next part of the course, we will be working with the Scheme programming language. In addition to learning how to write Scheme programs,

More information

SSEA Computer Science: Track A. Dr. Cynthia Lee Lecturer in Computer Science Stanford

SSEA Computer Science: Track A. Dr. Cynthia Lee Lecturer in Computer Science Stanford SSEA Computer Science: Track A Dr. Cynthia Lee Lecturer in Computer Science Stanford Topics for today Introduce Java programming language Assignment and type casting Expressions Operator precedence Code

More information

FP Foundations, Scheme

FP Foundations, Scheme FP Foundations, Scheme In Text: Chapter 15 1 Functional Programming -- Prelude We have been discussing imperative languages C/C++, Java, Fortran, Pascal etc. are imperative languages Imperative languages

More information

CS 4240: Compilers and Interpreters Project Phase 1: Scanner and Parser Due Date: October 4 th 2015 (11:59 pm) (via T-square)

CS 4240: Compilers and Interpreters Project Phase 1: Scanner and Parser Due Date: October 4 th 2015 (11:59 pm) (via T-square) CS 4240: Compilers and Interpreters Project Phase 1: Scanner and Parser Due Date: October 4 th 2015 (11:59 pm) (via T-square) Introduction This semester, through a project split into 3 phases, we are going

More information

Lexical Considerations

Lexical Considerations Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science 6.035, Fall 2005 Handout 6 Decaf Language Wednesday, September 7 The project for the course is to write a

More information

Relational Algebra. Relational Query Languages

Relational Algebra. Relational Query Languages Relational Algebra π CS 186 Fall 2002, Lecture 7 R & G, Chapter 4 By relieving the brain of all unnecessary work, a good notation sets it free to concentrate on more advanced problems, and, in effect,

More information

CS 320: Concepts of Programming Languages

CS 320: Concepts of Programming Languages CS 320: Concepts of Programming Languages Wayne Snyder Computer Science Department Boston University Lecture 04: Basic Haskell Continued o Polymorphic Types o Type Inference with Polymorphism o Standard

More information

CS61A Notes Week 1A: Basics, order of evaluation, special forms, recursion

CS61A Notes Week 1A: Basics, order of evaluation, special forms, recursion CS61A Notes Week 1A: Basics, order of evaluation, special forms, recursion Assorted Scheme Basics 1. The ( is the most important character in Scheme. If you have coded in other languages such as C or Java,

More information

1 Lexical Considerations

1 Lexical Considerations Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science 6.035, Spring 2013 Handout Decaf Language Thursday, Feb 7 The project for the course is to write a compiler

More information

Intro to Programming. Unit 7. What is Programming? What is Programming? Intro to Programming

Intro to Programming. Unit 7. What is Programming? What is Programming? Intro to Programming Intro to Programming Unit 7 Intro to Programming 1 What is Programming? 1. Programming Languages 2. Markup vs. Programming 1. Introduction 2. Print Statement 3. Strings 4. Types and Values 5. Math Externals

More information

c) Comments do not cause any machine language object code to be generated. d) Lengthy comments can cause poor execution-time performance.

c) Comments do not cause any machine language object code to be generated. d) Lengthy comments can cause poor execution-time performance. 2.1 Introduction (No questions.) 2.2 A Simple Program: Printing a Line of Text 2.1 Which of the following must every C program have? (a) main (b) #include (c) /* (d) 2.2 Every statement in C

More information

15 Unification and Embedded Languages in Lisp

15 Unification and Embedded Languages in Lisp 15 Unification and Embedded Languages in Lisp Chapter Objectives Chapter Contents Pattern matching in Lisp: Database examples Full unification as required for Predicate Calculus problem solving Needed

More information

CS 11 Haskell track: lecture 1

CS 11 Haskell track: lecture 1 CS 11 Haskell track: lecture 1 This week: Introduction/motivation/pep talk Basics of Haskell Prerequisite Knowledge of basic functional programming e.g. Scheme, Ocaml, Erlang CS 1, CS 4 "permission of

More information

Review Chapters 1 to 4. Instructor: Scott Kristjanson CMPT 125/125 SFU Burnaby, Fall 2013

Review Chapters 1 to 4. Instructor: Scott Kristjanson CMPT 125/125 SFU Burnaby, Fall 2013 Review Chapters 1 to 4 Instructor: Scott Kristjanson CMPT 125/125 SFU Burnaby, Fall 2013 Introduction to Java Chapters 1 and 2 The Java Language Section 1.1 Data & Expressions Sections 2.1 2.5 Instructor:

More information

Seminar on Languages for Scientific Computing Aachen, 6 Feb Navid Abbaszadeh.

Seminar on Languages for Scientific Computing Aachen, 6 Feb Navid Abbaszadeh. Scientific Computing Aachen, 6 Feb 2014 navid.abbaszadeh@rwth-aachen.de Overview Trends Introduction Paradigms, Data Structures, Syntax Compilation & Execution Concurrency Model Reference Types Performance

More information

Principles of Programming Languages

Principles of Programming Languages Principles of Programming Languages www.cs.bgu.ac.il/~ppl172 Lesson 6 - Defining a Programming Language Bottom Up Collaboration and Management - Elements of Programming Dana Fisman 1 What we accomplished

More information

Introduction to Bioinformatics

Introduction to Bioinformatics Introduction to Bioinformatics Variables, Data Types, Data Structures, Control Structures Janyl Jumadinova February 3, 2016 Data Type Data types are the basic unit of information storage. Instances of

More information

UNIT 3

UNIT 3 UNIT 3 Presentation Outline Sequence control with expressions Conditional Statements, Loops Exception Handling Subprogram definition and activation Simple and Recursive Subprogram Subprogram Environment

More information

MIDTERM EXAMINATION - CS130 - Spring 2003

MIDTERM EXAMINATION - CS130 - Spring 2003 MIDTERM EXAMINATION - CS130 - Spring 2003 Your full name: Your UCSD ID number: This exam is closed book and closed notes Total number of points in this exam: 120 + 10 extra credit This exam counts for

More information

Introduction to C++ General Rules, Conventions and Styles CS 16: Solving Problems with Computers I Lecture #2

Introduction to C++ General Rules, Conventions and Styles CS 16: Solving Problems with Computers I Lecture #2 Introduction to C++ General Rules, Conventions and Styles CS 16: Solving Problems with Computers I Lecture #2 Ziad Matni Dept. of Computer Science, UCSB Administrative This class is currently FULL and

More information

Course Outline. Introduction to java

Course Outline. Introduction to java Course Outline 1. Introduction to OO programming 2. Language Basics Syntax and Semantics 3. Algorithms, stepwise refinements. 4. Quiz/Assignment ( 5. Repetitions (for loops) 6. Writing simple classes 7.

More information

Documentation for LISP in BASIC

Documentation for LISP in BASIC Documentation for LISP in BASIC The software and the documentation are both Copyright 2008 Arthur Nunes-Harwitt LISP in BASIC is a LISP interpreter for a Scheme-like dialect of LISP, which happens to have

More information

A First Look at ML. Chapter Five Modern Programming Languages, 2nd ed. 1

A First Look at ML. Chapter Five Modern Programming Languages, 2nd ed. 1 A First Look at ML Chapter Five Modern Programming Languages, 2nd ed. 1 ML Meta Language One of the more popular functional languages (which, admittedly, isn t saying much) Edinburgh, 1974, Robin Milner

More information

Stuart

Stuart Clojure Time Stuart Halloway stu@clojure.com @stuarthalloway Copyright 2007-2010 Relevance, Inc. This presentation is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 United

More information

6.001 Notes: Section 15.1

6.001 Notes: Section 15.1 6.001 Notes: Section 15.1 Slide 15.1.1 Our goal over the next few lectures is to build an interpreter, which in a very basic sense is the ultimate in programming, since doing so will allow us to define

More information

Programming Languages Third Edition. Chapter 9 Control I Expressions and Statements

Programming Languages Third Edition. Chapter 9 Control I Expressions and Statements Programming Languages Third Edition Chapter 9 Control I Expressions and Statements Objectives Understand expressions Understand conditional statements and guards Understand loops and variation on WHILE

More information

Organization of Programming Languages CS3200/5200N. Lecture 11

Organization of Programming Languages CS3200/5200N. Lecture 11 Organization of Programming Languages CS3200/5200N Razvan C. Bunescu School of Electrical Engineering and Computer Science bunescu@ohio.edu Functional vs. Imperative The design of the imperative languages

More information

Lexical Considerations

Lexical Considerations Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science 6.035, Spring 2010 Handout Decaf Language Tuesday, Feb 2 The project for the course is to write a compiler

More information

Garrett Hall CSC 173 C Programming Weeks 3-4

Garrett Hall CSC 173 C Programming Weeks 3-4 Garrett Hall CSC 173 C Programming Weeks 3-4 1. Overview The program parses code from an input file and evaluates it. The evaluator can handle basic mathematical operations (+, -, *, /, ^) and trigonometric

More information

G Programming Languages - Fall 2012

G Programming Languages - Fall 2012 G22.2110-003 Programming Languages - Fall 2012 Lecture 3 Thomas Wies New York University Review Last week Names and Bindings Lifetimes and Allocation Garbage Collection Scope Outline Control Flow Sequencing

More information

Symbolic Computation and Common Lisp

Symbolic Computation and Common Lisp Symbolic Computation and Common Lisp Dr. Neil T. Dantam CSCI-56, Colorado School of Mines Fall 28 Dantam (Mines CSCI-56) Lisp Fall 28 / 92 Why? Symbolic Computing: Much of this course deals with processing

More information

6.001 Notes: Section 1.1

6.001 Notes: Section 1.1 6.001 Notes: Section 1.1 Slide 1.1.1 This first thing we need to do is discuss the focus of 6.001. What is this course all about? This seems quite obvious -- this is a course about computer science. But

More information

Object oriented programming. Instructor: Masoud Asghari Web page: Ch: 3

Object oriented programming. Instructor: Masoud Asghari Web page:   Ch: 3 Object oriented programming Instructor: Masoud Asghari Web page: http://www.masses.ir/lectures/oops2017sut Ch: 3 1 In this slide We follow: https://docs.oracle.com/javase/tutorial/index.html Trail: Learning

More information

QUark Language Reference Manual

QUark Language Reference Manual QUark Language Reference Manual Daria Jung (djj2115), Jamis Johnson (jmj2180), Jim Fan (lf2422), Parthiban Loganathan (pl2487) Introduction This is the reference manual for QUark, a high level language

More information

CSE 341, Autumn 2015, Ruby Introduction Summary

CSE 341, Autumn 2015, Ruby Introduction Summary CSE 341, Autumn 2015, Ruby Introduction Summary Disclaimer: This lecture summary is not necessarily a complete substitute for atting class, reading the associated code, etc. It is designed to be a useful

More information

CS251 Programming Languages Handout # 47 Prof. Lyn Turbak May 22, 2005 Wellesley College. Scheme

CS251 Programming Languages Handout # 47 Prof. Lyn Turbak May 22, 2005 Wellesley College. Scheme CS251 Programming Languages Handout # 47 Prof. Lyn Turbak May 22, 2005 Wellesley College 1 Scheme Overview Scheme Scheme is a block-structured, lexically-scoped, properly tail-recursive dialect of Lisp

More information

4 Programming Fundamentals. Introduction to Programming 1 1

4 Programming Fundamentals. Introduction to Programming 1 1 4 Programming Fundamentals Introduction to Programming 1 1 Objectives At the end of the lesson, the student should be able to: Identify the basic parts of a Java program Differentiate among Java literals,

More information

The syntax and semantics of Beginning Student

The syntax and semantics of Beginning Student The syntax and semantics of Beginning Student Readings: HtDP, Intermezzo 1 (Section 8). We are covering the ideas of section 8, but not the parts of it dealing with section 6/7 material (which will come

More information

The syntax and semantics of Beginning Student

The syntax and semantics of Beginning Student The syntax and semantics of Beginning Student Readings: HtDP, Intermezzo 1 (Section 8). We are covering the ideas of section 8, but not the parts of it dealing with section 6/7 material (which will come

More information

Primitive Data Types: Intro

Primitive Data Types: Intro Primitive Data Types: Intro Primitive data types represent single values and are built into a language Java primitive numeric data types: 1. Integral types (a) byte (b) int (c) short (d) long 2. Real types

More information

The Environment Model. Nate Foster Spring 2018

The Environment Model. Nate Foster Spring 2018 The Environment Model Nate Foster Spring 2018 Review Previously in 3110: Interpreters: ASTs, evaluation, parsing Formal syntax: BNF Formal semantics: dynamic: small-step substitution model static semantics

More information

Scala, Your Next Programming Language

Scala, Your Next Programming Language Scala, Your Next Programming Language (or if it is good enough for Twitter, it is good enough for me) WORLDCOMP 2011 By Dr. Mark C. Lewis Trinity University Disclaimer I am writing a Scala textbook that

More information

Functional programming with Common Lisp

Functional programming with Common Lisp Functional programming with Common Lisp Dr. C. Constantinides Department of Computer Science and Software Engineering Concordia University Montreal, Canada August 11, 2016 1 / 81 Expressions and functions

More information

Weiss Chapter 1 terminology (parenthesized numbers are page numbers)

Weiss Chapter 1 terminology (parenthesized numbers are page numbers) Weiss Chapter 1 terminology (parenthesized numbers are page numbers) assignment operators In Java, used to alter the value of a variable. These operators include =, +=, -=, *=, and /=. (9) autoincrement

More information

Functional Programming. Pure Functional Languages

Functional Programming. Pure Functional Languages Functional Programming Pure functional PLs S-expressions cons, car, cdr Defining functions read-eval-print loop of Lisp interpreter Examples of recursive functions Shallow, deep Equality testing 1 Pure

More information

Scheme: Expressions & Procedures

Scheme: Expressions & Procedures Scheme: Expressions & Procedures CS F331 Programming Languages CSCE A331 Programming Language Concepts Lecture Slides Friday, March 31, 2017 Glenn G. Chappell Department of Computer Science University

More information

;;; Determines if e is a primitive by looking it up in the primitive environment. ;;; Define indentation and output routines for the output for

;;; Determines if e is a primitive by looking it up in the primitive environment. ;;; Define indentation and output routines for the output for Page 1/11 (require (lib "trace")) Allow tracing to be turned on and off (define tracing #f) Define a string to hold the error messages created during syntax checking (define error msg ""); Used for fancy

More information

Getting started with Java

Getting started with Java Getting started with Java Magic Lines public class MagicLines { public static void main(string[] args) { } } Comments Comments are lines in your code that get ignored during execution. Good for leaving

More information

The Calculator CS571. Abstract syntax of correct button push sequences. The Button Layout. Notes 16 Denotational Semantics of a Simple Calculator

The Calculator CS571. Abstract syntax of correct button push sequences. The Button Layout. Notes 16 Denotational Semantics of a Simple Calculator CS571 Notes 16 Denotational Semantics of a Simple Calculator The Calculator Two functions: + and * Unbounded natural numbers (no negatives Conditional: if-then-else Parentheses One memory register 1of

More information

Compilation and Execution Simplifying Fractions. Loops If Statements. Variables Operations Using Functions Errors

Compilation and Execution Simplifying Fractions. Loops If Statements. Variables Operations Using Functions Errors First Program Compilation and Execution Simplifying Fractions Loops If Statements Variables Operations Using Functions Errors C++ programs consist of a series of instructions written in using the C++ syntax

More information

Full file at C How to Program, 6/e Multiple Choice Test Bank

Full file at   C How to Program, 6/e Multiple Choice Test Bank 2.1 Introduction 2.2 A Simple Program: Printing a Line of Text 2.1 Lines beginning with let the computer know that the rest of the line is a comment. (a) /* (b) ** (c) REM (d)

More information

Examples of attributes: values of evaluated subtrees, type information, source file coordinates,

Examples of attributes: values of evaluated subtrees, type information, source file coordinates, 1 2 3 Attributes can be added to the grammar symbols, and program fragments can be added as semantic actions to the grammar, to form a syntax-directed translation scheme. Some attributes may be set by

More information

The PCAT Programming Language Reference Manual

The PCAT Programming Language Reference Manual The PCAT Programming Language Reference Manual Andrew Tolmach and Jingke Li Dept. of Computer Science Portland State University September 27, 1995 (revised October 15, 2002) 1 Introduction The PCAT language

More information

Ruby: Introduction, Basics

Ruby: Introduction, Basics Ruby: Introduction, Basics Computer Science and Engineering College of Engineering The Ohio State University Lecture 4 Ruby vs Java: Similarities Imperative and object-oriented Classes and instances (ie

More information

CS558 Programming Languages. Winter 2013 Lecture 3

CS558 Programming Languages. Winter 2013 Lecture 3 CS558 Programming Languages Winter 2013 Lecture 3 1 NAMES AND BINDING One essential part of being a high-level language is having convenient names for things: variables constants types functions etc. classes

More information

I. Variables and Data Type week 3

I. Variables and Data Type week 3 I. Variables and Data Type week 3 variable: a named memory (i.e. RAM, which is volatile) location used to store/hold data, which can be changed during program execution in algebra: 3x + 5 = 20, x = 5,

More information

IT 374 C# and Applications/ IT695 C# Data Structures

IT 374 C# and Applications/ IT695 C# Data Structures IT 374 C# and Applications/ IT695 C# Data Structures Module 2.1: Introduction to C# App Programming Xianrong (Shawn) Zheng Spring 2017 1 Outline Introduction Creating a Simple App String Interpolation

More information

CS102: Variables and Expressions

CS102: Variables and Expressions CS102: Variables and Expressions The topic of variables is one of the most important in C or any other high-level programming language. We will start with a simple example: int x; printf("the value of

More information