Volume 3, Issue 2 Pythonpapers.Org Journal Information
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												  Promoting Computer Literacy Through Programming PythonPROMOTING COMPUTER LITERACY THROUGH PROGRAMMING PYTHON by John Alexander Miller A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Education) in The University of Michigan 2004 Doctoral Committee: Professor Frederick Goodman, Chair Emeritus Professor Carl Berger Professor Jay Lemke Professor John Swales Copyright 2004 by John Alexander Miller The Joys of the Craft Why is programming fun? What delights may its practitioner expect as his reward? First is the sheer joy of making things. As the child delights in his mud pie, so the adult enjoys building things, especially things of his own design. I think this delight must be an image of God's delight in making things, a delight shown in the distinctness and newness of each leaf and each snowflake. Second is the pleasure of making things that are useful to other people. Deep within, we want others to use our work and to find it helpful. In this respect the programming system is not essentially different from the child's first clay pencil holder “for Daddy's office.” Third is the fascination of fashioning complex puzzle-like objects of interlocking moving parts and watching them work in subtle cycles, playing out the consequences of principles built in from the beginning. The programmed computer has all the fascination of the pinball machine or the jukebox mechanism, carried to the ultimate. Fourth is the joy of always learning, which springs from the nonrepeating nature of the task. In one way or another the problem is ever new, and its solver learns something: sometimes practical, sometimes theoretical, and sometimes both.
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												  Comparison of Statistical Packages 1 Comparison of Statistical PackagesComparison of statistical packages 1 Comparison of statistical packages The following tables compare general and technical information for a number of statistical analysis packages. General information Basic information about each product (developer, license, user interface etc.). Price note [1] indicates that the price was promotional (so higher prices may apply to current purchases), and note [2] indicates that lower/penetration pricing is offered to academic purchasers (e.g. give-away editions of some products are bundled with some student textbooks on statistics). Product Example(s) Developer Latest version Cost (USD) Open Software Interface Written Scripting source license in languages ADaMSoft Marco Scarno May 5, 2012 Free Yes GNU GPL CLI/GUI Java Analyse-it Analyse-it $185–495 No Proprietary GUI VSN October 2009 >$150 Proprietary CLI ASReml No International Statistical $1095 Proprietary BMDP No Solutions Alan Heckert March 2005 Public CLI/GUI Dataplot Free Yes domain Centers for January 26, Public CLI/GUI Visual Disease 2011 domain Basic Epi Info Free Yes Control and Prevention IHS November student: $40 / acad: Proprietary CLI/GUI EViews No 2011 $425 / comm: $1075 Aptech October 2011 Proprietary CLI/GUI GAUSS No systems VSN July 2011 >$190 Proprietary CLI/GUI GenStat No International GraphPad GraphPad Feb. 2009 $595 Proprietary GUI No Prism Software, Inc. The gretl December 22, GNU GPL CLI/GUI C gretl Team 2011 Free Yes SAS Institute October, 2010 $1895 (commercial) Proprietary GUI/CLI JSL (JMP $29.95/$49.95 Scripting JMP No (student) $495 for Language) H.S. site licence Maplesoft March 28, 2012 $2275 (commercial), Proprietary CLI/GUI Maple No $99 (student) Wolfram 8.0.4, October $2,495 Proprietary CLI/GUI Research 2011 (Professional), $1095 (Education), Mathematica $140 (Student), No $69.95 (Student [3] annual license) [4] $295 (Personal) Comparison of statistical packages 2 The New releases Depends on many Proprietary CLI/GUI Java MATLAB No MathWorks twice per year things.
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												  Introduction À SASLogiciels Statistiques Programmation & Logiciels Statistiques Cours 7 Salim Lardjane - Université de Bretagne-Sud Autres logiciels statistiques Salim Lardjane - Université de Bretagne-Sud Logiciels libres • ADaMSoft : c’est un logiciel libre open source développé en Java et qui peut fonctionner sur toute plateforme où Java est disponible. • Les outils suivants sont disponibles sous ADaMSoft : Réseaux de Neurones Graphiques Algorithmes de Data Mining Salim Lardjane - Université de Bretagne-Sud Logiciels libres Régression linéaire Régression Logistique Méthodes de classification Arbres de décision Analyse discriminante ACP Analyse des correspondances Salim Lardjane - Université de Bretagne-Sud Logiciels libres • ADaMSoft peut accéder à des données de type • Texte • Excel • ODBC • MySQL • Postgressql • Oracle Salim Lardjane - Université de Bretagne-Sud Logiciels libres • ADMB : c’est un logiciel libre open source de modélisation non linéaire développé en C++ • ADMB implémente : Diverses méthodes de Monte-Carlo par Chaînes de Markov, ce qui le rend utile dans le cadre d’analyses bayésiennes Les modèles à effets aléatoires • Il est particulièrement utilisé en statistique environnementale Salim Lardjane - Université de Bretagne-Sud Logiciels libres • BFL (Bayesian Filtering Library) : C’est une bibliothèque C++ open source dédiée à l’estimation recursive bayésienne • BFL implémente : Le filtre de Kalman Les filtres particulaires Les méthodes de Monte-Carlo séquentielles Les filtres de mélange Salim Lardjane - Université de Bretagne-Sud Logiciels