Lucy Zhang and Richard Fateman, Univ. of Calif , Berkeley 12/2001
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Using Mathematica As a Teaching Tool in the Undergraduate Economics Curriculum
USING MATHEMATICA AS A TEACHING TOOL IN THE UNDERGRADUATE ECONOMICS CURRICULUM Gary Hodgin* Abstract In recent years, the quantitative skills required of economics students have increased significantly. Students often experience difficulty in making the transition from their mathematics courses to the use of mathematics in their economics courses. Symbolic computation programs are mathematical tools that can potentially smooth this transition. This paper illustrates a few ways in which one symbolic computation program, Mathematica, has been used in the undergraduate economics curriculum. I. Introduction The undergraduate curriculum in economics has become increasingly quantitative. An economics major typically includes college algebra, statistics, and some form of calculus in its degree requirements.1 In addition, mathematical economics and econometrics are now standard courses in many undergraduate programs. Moreover, this quantitative emphasis generally extends to other courses across the economics curriculum, particularly the intermediate theory and managerial economics courses. For example, approximately 90 percent of the intermediate microeconomics instructors included in von Allmen and Brower's survey (1998, 279) use calculus in their courses. Although one might question whether too much emphasis is placed on quantitative skills, there appears to be consensus among economics professors that mathematics is an important ingredient in undergraduate economic education. Over the past three years, I have used a symbolic computation program entitled Mathematica in two of my intermediate microeconomics and three of my managerial economics courses. My observations in these courses suggests that some students experience difficulty in making the transition from their courses in mathematics to their use of mathematics in economics. By smoothing this transition, symbolic computation programs can assist students in learning economics. -
Bringing GNU Emacs to Native Code
Bringing GNU Emacs to Native Code Andrea Corallo Luca Nassi Nicola Manca [email protected] [email protected] [email protected] CNR-SPIN Genoa, Italy ABSTRACT such a long-standing project. Although this makes it didactic, some Emacs Lisp (Elisp) is the Lisp dialect used by the Emacs text editor limitations prevent the current implementation of Emacs Lisp to family. GNU Emacs can currently execute Elisp code either inter- be appealing for broader use. In this context, performance issues preted or byte-interpreted after it has been compiled to byte-code. represent the main bottleneck, which can be broken down in three In this work we discuss the implementation of an optimizing com- main sub-problems: piler approach for Elisp targeting native code. The native compiler • lack of true multi-threading support, employs the byte-compiler’s internal representation as input and • garbage collection speed, exploits libgccjit to achieve code generation using the GNU Com- • code execution speed. piler Collection (GCC) infrastructure. Generated executables are From now on we will focus on the last of these issues, which con- stored as binary files and can be loaded and unloaded dynamically. stitutes the topic of this work. Most of the functionality of the compiler is written in Elisp itself, The current implementation traditionally approaches the prob- including several optimization passes, paired with a C back-end lem of code execution speed in two ways: to interface with the GNU Emacs core and libgccjit. Though still a work in progress, our implementation is able to bootstrap a func- • Implementing a large number of performance-sensitive prim- tional Emacs and compile all lexically scoped Elisp files, including itive functions (also known as subr) in C. -
GNU Emacs Manual
GNU Emacs Manual GNU Emacs Manual Sixteenth Edition, Updated for Emacs Version 22.1. Richard Stallman This is the Sixteenth edition of the GNU Emacs Manual, updated for Emacs version 22.1. Copyright c 1985, 1986, 1987, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007 Free Software Foundation, Inc. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with the Invariant Sections being \The GNU Manifesto," \Distribution" and \GNU GENERAL PUBLIC LICENSE," with the Front-Cover texts being \A GNU Manual," and with the Back-Cover Texts as in (a) below. A copy of the license is included in the section entitled \GNU Free Documentation License." (a) The FSF's Back-Cover Text is: \You have freedom to copy and modify this GNU Manual, like GNU software. Copies published by the Free Software Foundation raise funds for GNU development." Published by the Free Software Foundation 51 Franklin Street, Fifth Floor Boston, MA 02110-1301 USA ISBN 1-882114-86-8 Cover art by Etienne Suvasa. i Short Contents Preface ::::::::::::::::::::::::::::::::::::::::::::::::: 1 Distribution ::::::::::::::::::::::::::::::::::::::::::::: 2 Introduction ::::::::::::::::::::::::::::::::::::::::::::: 5 1 The Organization of the Screen :::::::::::::::::::::::::: 6 2 Characters, Keys and Commands ::::::::::::::::::::::: 11 3 Entering and Exiting Emacs ::::::::::::::::::::::::::: 15 4 Basic Editing -
Emacspeak User's Guide
Emacspeak User's Guide Jennifer Jobst Revision History Revision 1.3 July 24,2002 Revised by: SDS Updated the maintainer of this document to Sharon Snider, corrected links, and converted to HTML Revision 1.2 December 3, 2001 Revised by: JEJ Changed license to GFDL Revision 1.1 November 12, 2001 Revised by: JEJ Revision 1.0 DRAFT October 19, 2001 Revised by: JEJ This document helps Emacspeak users become familiar with Emacs as an audio desktop and provides tutorials on many common tasks and the Emacs applications available to perform those tasks. Emacspeak User's Guide Table of Contents 1. Legal Notice.....................................................................................................................................................1 2. Introduction.....................................................................................................................................................2 2.1. What is Emacspeak?.........................................................................................................................2 2.2. About this tutorial.............................................................................................................................2 3. Before you begin..............................................................................................................................................3 3.1. Getting started with Emacs and Emacspeak.....................................................................................3 3.2. Emacs Command Conventions.........................................................................................................3 -
Emacs Speaks Statistics (ESS): a Multi-Platform, Multi-Package Intelligent Environment for Statistical Analysis
Emacs Speaks Statistics (ESS): A multi-platform, multi-package intelligent environment for statistical analysis A.J. Rossini Richard M. Heiberger Rodney A. Sparapani Martin Machler¨ Kurt Hornik ∗ Date: 2003/10/22 17:34:04 Revision: 1.255 Abstract Computer programming is an important component of statistics research and data analysis. This skill is necessary for using sophisticated statistical packages as well as for writing custom software for data analysis. Emacs Speaks Statistics (ESS) provides an intelligent and consistent interface between the user and software. ESS interfaces with SAS, S-PLUS, R, and other statistics packages under the Unix, Microsoft Windows, and Apple Mac operating systems. ESS extends the Emacs text editor and uses its many features to streamline the creation and use of statistical software. ESS understands the syntax for each data analysis language it works with and provides consistent display and editing features across packages. ESS assists in the interactive or batch execution by the statistics packages of statements written in their languages. Some statistics packages can be run as a subprocess of Emacs, allowing the user to work directly from the editor and thereby retain a consistent and constant look- and-feel. We discuss how ESS works and how it increases statistical programming efficiency. Keywords: Data Analysis, Programming, S, SAS, S-PLUS, R, XLISPSTAT,STATA, BUGS, Open Source Software, Cross-platform User Interface. ∗A.J. Rossini is Research Assistant Professor in the Department of Biostatistics, University of Washington and Joint Assis- tant Member at the Fred Hutchinson Cancer Research Center, Seattle, WA, USA mailto:[email protected]; Richard M. -
Sage Tutorial (Pdf)
Sage Tutorial Release 9.4 The Sage Development Team Aug 24, 2021 CONTENTS 1 Introduction 3 1.1 Installation................................................4 1.2 Ways to Use Sage.............................................4 1.3 Longterm Goals for Sage.........................................5 2 A Guided Tour 7 2.1 Assignment, Equality, and Arithmetic..................................7 2.2 Getting Help...............................................9 2.3 Functions, Indentation, and Counting.................................. 10 2.4 Basic Algebra and Calculus....................................... 14 2.5 Plotting.................................................. 20 2.6 Some Common Issues with Functions.................................. 23 2.7 Basic Rings................................................ 26 2.8 Linear Algebra.............................................. 28 2.9 Polynomials............................................... 32 2.10 Parents, Conversion and Coercion.................................... 36 2.11 Finite Groups, Abelian Groups...................................... 42 2.12 Number Theory............................................. 43 2.13 Some More Advanced Mathematics................................... 46 3 The Interactive Shell 55 3.1 Your Sage Session............................................ 55 3.2 Logging Input and Output........................................ 57 3.3 Paste Ignores Prompts.......................................... 58 3.4 Timing Commands............................................ 58 3.5 Other IPython -
Exploratory Data Science Using a Literate Programming Tool Mary Beth Kery1 Marissa Radensky2 Mahima Arya1 Bonnie E
The Story in the Notebook: Exploratory Data Science using a Literate Programming Tool Mary Beth Kery1 Marissa Radensky2 Mahima Arya1 Bonnie E. John3 Brad A. Myers1 1Human-Computer Interaction Institute 2Amherst College 3Bloomberg L. P. Carnegie Mellon University Amherst, MA New York City, NY Pittsburgh, PA [email protected] [email protected] mkery, mahimaa, bam @cs.cmu.edu ABSTRACT engineers, many of whom never receive formal training in Literate programming tools are used by millions of software engineering [30]. programmers today, and are intended to facilitate presenting data analyses in the form of a narrative. We interviewed 21 As even more technical novices engage with code and data data scientists to study coding behaviors in a literate manipulations, it is key to have end-user programming programming environment and how data scientists kept track tools that address barriers to doing effective data science. For of variants they explored. For participants who tried to keep instance, programming with data often requires heavy a detailed history of their experimentation, both informal and exploration with different ways to manipulate the data formal versioning attempts led to problems, such as reduced [14,23]. Currently even experts struggle to keep track of the notebook readability. During iteration, participants actively experimentation they do, leading to lost work, confusion curated their notebooks into narratives, although primarily over how a result was achieved, and difficulties effectively through cell structure rather than markdown explanations. ideating [11]. Literate programming has recently arisen as a Next, we surveyed 45 data scientists and asked them to promising direction to address some of these problems [17]. -
Free As in Freedom (2.0): Richard Stallman and the Free Software Revolution
Free as in Freedom (2.0): Richard Stallman and the Free Software Revolution Sam Williams Second edition revisions by Richard M. Stallman i This is Free as in Freedom 2.0: Richard Stallman and the Free Soft- ware Revolution, a revision of Free as in Freedom: Richard Stallman's Crusade for Free Software. Copyright c 2002, 2010 Sam Williams Copyright c 2010 Richard M. Stallman Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the section entitled \GNU Free Documentation License." Published by the Free Software Foundation 51 Franklin St., Fifth Floor Boston, MA 02110-1335 USA ISBN: 9780983159216 The cover photograph of Richard Stallman is by Peter Hinely. The PDP-10 photograph in Chapter 7 is by Rodney Brooks. The photo- graph of St. IGNUcius in Chapter 8 is by Stian Eikeland. Contents Foreword by Richard M. Stallmanv Preface by Sam Williams vii 1 For Want of a Printer1 2 2001: A Hacker's Odyssey 13 3 A Portrait of the Hacker as a Young Man 25 4 Impeach God 37 5 Puddle of Freedom 59 6 The Emacs Commune 77 7 A Stark Moral Choice 89 8 St. Ignucius 109 9 The GNU General Public License 123 10 GNU/Linux 145 iii iv CONTENTS 11 Open Source 159 12 A Brief Journey through Hacker Hell 175 13 Continuing the Fight 181 Epilogue from Sam Williams: Crushing Loneliness 193 Appendix A { Hack, Hackers, and Hacking 209 Appendix B { GNU Free Documentation License 217 Foreword by Richard M. -
Your Notebook Is Not Crumby Enough, Replace It
Your notebook is not crumby enough, REPLace it Michael BrachmannB , William SpothB , Oliver KennedyB , Boris GlavicI , Heiko MuellerN, Sonia CasteloN, Carlos BautistaN, Juliana FreireN B: University at Buffalo I: Illinois Institute of Technology N: New York University {mrb24,wmspoth,okennedy}@buffalo.edu [email protected] {heiko.mueller, s.castelo, carlos.bautista, juliana.freire}@nyu.edu Figure 1: Overview of our system Vizier. The New York City Leading Causes of Death dataset was used. Vizier has four main views: (A) The Vizier Notebook View, (B) The Vizier Caveat View, (C) The Vizier Spreadsheet View and (D) The Vizier History View. ABSTRACT refine data pipelines. Vizier combines the flexibility of note- Notebook and spreadsheet systems are currently the de- books with the easy-to-use data manipulation interface of facto standard for data collection, preparation, and analysis. spreadsheets. Combined with advanced provenance track- However, these systems have been criticized for their lack of ing for both data and computational steps this enables re- reproducibility, versioning, and support for sharing. These producibility, versioning, and streamlined data exploration. shortcomings are particularly detrimental for data curation Unique to Vizier is that it exposes potential issues with data, where data scientists iteratively build workflows to clean up no matter whether they already exist in the input or are in- and integrate data as a prerequisite for analysis. We present troduced by the operations of a notebook. We refer to such Vizier, an open-source tool that helps analysts to build and potential errors as data caveats. Caveats are propagated alongside data using principled techniques from uncertain data management. -
Learning GNU Emacs Other Resources from O’Reilly
Learning GNU Emacs Other Resources from O’Reilly Related titles Unix in a Nutshell sed and awk Learning the vi Editor Essential CVS GNU Emacs Pocket Reference Version Control with Subversion oreilly.com oreilly.com is more than a complete catalog of O’Reilly books. You’ll also find links to news, events, articles, weblogs, sample chapters, and code examples. oreillynet.com is the essential portal for developers interested in open and emerging technologies, including new platforms, pro- gramming languages, and operating systems. Conferences O’Reilly brings diverse innovators together to nurture the ideas that spark revolutionary industries. We specialize in document- ing the latest tools and systems, translating the innovator’s knowledge into useful skills for those in the trenches. Visit con- ferences.oreilly.com for our upcoming events. Safari Bookshelf (safari.oreilly.com) is the premier online refer- ence library for programmers and IT professionals. Conduct searches across more than 1,000 books. Subscribers can zero in on answers to time-critical questions in a matter of seconds. Read the books on your Bookshelf from cover to cover or sim- ply flip to the page you need. Try it today with a free trial. THIRD EDITION Learning GNU Emacs Debra Cameron, James Elliott, Marc Loy, Eric Raymond, and Bill Rosenblatt Beijing • Cambridge • Farnham • Köln • Paris • Sebastopol • Taipei • Tokyo Learning GNU Emacs, Third Edition by Debra Cameron, James Elliott, Marc Loy, Eric Raymond, and Bill Rosenblatt Copyright © 2005 O’Reilly Media, Inc. All rights reserved. Printed in the United States of America. Published by O’Reilly Media, Inc., 1005 Gravenstein Highway North, Sebastopol, CA 95472. -
Using and Porting the GNU Compiler Collection
Using and Porting the GNU Compiler Collection Richard M. Stallman Last updated 14 June 2001 for gcc-3.0 Copyright c 1988, 1989, 1992, 1993, 1994, 1995, 1996, 1998, 1999, 2000, 2001 Free Software Foundation, Inc. For GCC Version 3.0 Published by the Free Software Foundation 59 Temple Place - Suite 330 Boston, MA 02111-1307, USA Last printed April, 1998. Printed copies are available for $50 each. ISBN 1-882114-37-X Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.1 or any later version published by the Free Software Foundation; with the Invariant Sections being “GNU General Public License”, the Front-Cover texts being (a) (see below), and with the Back-Cover Texts being (b) (see below). A copy of the license is included in the section entitled “GNU Free Documentation License”. (a) The FSF’s Front-Cover Text is: A GNU Manual (b) The FSF’s Back-Cover Text is: You have freedom to copy and modify this GNU Manual, like GNU software. Copies published by the Free Software Foundation raise funds for GNU development. Short Contents Introduction......................................... 1 1 Compile C, C++, Objective C, Fortran, Java ............... 3 2 Language Standards Supported by GCC .................. 5 3 GCC Command Options ............................. 7 4 Installing GNU CC ............................... 111 5 Extensions to the C Language Family .................. 121 6 Extensions to the C++ Language ...................... 165 7 GNU Objective-C runtime features .................... 175 8 gcov: a Test Coverage Program ...................... 181 9 Known Causes of Trouble with GCC ................... 187 10 Reporting Bugs................................. -
SDSU Sage Tutorial Documentation Release 1.2
SDSU Sage Tutorial Documentation Release 1.2 Michael O’Sullivan, David Monarres, Matteo Polimeno Jan 25, 2019 CONTENTS 1 About this tutorial 3 1.1 Introduction...............................................3 1.2 Getting Started..............................................3 1.3 Contributing to the tutorial........................................ 11 2 SageMath as a Calculator 13 2.1 Arithmetic and Functions........................................ 13 2.2 Solving Equations and Inequalities................................... 19 2.3 Calculus................................................. 21 2.4 Statistics................................................. 26 2.5 Plotting.................................................. 27 3 Programming in SageMath 39 3.1 SageMath Objects............................................ 39 3.2 Programming Tools........................................... 54 3.3 Packages within SageMath........................................ 61 3.4 Interactive Demonstrations in the Notebook............................... 66 4 Mathematical Structures 73 4.1 Integers and Modular Arithmetic.................................... 73 4.2 Groups.................................................. 78 4.3 Linear Algebra.............................................. 88 4.4 Rings................................................... 98 4.5 Fields................................................... 109 4.6 Coding Theory.............................................. 114 Bibliography 123 Index 125 i ii SDSU Sage Tutorial Documentation, Release 1.2 Contents: