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Python Programming
Python Programming Wikibooks.org June 22, 2012 On the 28th of April 2012 the contents of the English as well as German Wikibooks and Wikipedia projects were licensed under Creative Commons Attribution-ShareAlike 3.0 Unported license. An URI to this license is given in the list of figures on page 149. If this document is a derived work from the contents of one of these projects and the content was still licensed by the project under this license at the time of derivation this document has to be licensed under the same, a similar or a compatible license, as stated in section 4b of the license. The list of contributors is included in chapter Contributors on page 143. The licenses GPL, LGPL and GFDL are included in chapter Licenses on page 153, since this book and/or parts of it may or may not be licensed under one or more of these licenses, and thus require inclusion of these licenses. The licenses of the figures are given in the list of figures on page 149. This PDF was generated by the LATEX typesetting software. The LATEX source code is included as an attachment (source.7z.txt) in this PDF file. To extract the source from the PDF file, we recommend the use of http://www.pdflabs.com/tools/pdftk-the-pdf-toolkit/ utility or clicking the paper clip attachment symbol on the lower left of your PDF Viewer, selecting Save Attachment. After extracting it from the PDF file you have to rename it to source.7z. To uncompress the resulting archive we recommend the use of http://www.7-zip.org/. -
Exploring the Role of Language in Two Systems for Categorization Kayleigh Ryherd University of Connecticut - Storrs, [email protected]
University of Connecticut OpenCommons@UConn Doctoral Dissertations University of Connecticut Graduate School 4-26-2019 Exploring the Role of Language in Two Systems for Categorization Kayleigh Ryherd University of Connecticut - Storrs, [email protected] Follow this and additional works at: https://opencommons.uconn.edu/dissertations Recommended Citation Ryherd, Kayleigh, "Exploring the Role of Language in Two Systems for Categorization" (2019). Doctoral Dissertations. 2163. https://opencommons.uconn.edu/dissertations/2163 Exploring the Role of Language in Two Systems for Categorization Kayleigh Ryherd, PhD University of Connecticut, 2019 Multiple theories of category learning converge on the idea that there are two systems for categorization, each designed to process different types of category structures. The associative system learns categories that have probabilistic boundaries and multiple overlapping features through iterative association of features and feedback. The hypothesis-testing system learns rule-based categories through explicit testing of hy- potheses about category boundaries. Prior research suggests that language resources are necessary for the hypothesis-testing system but not for the associative system. However, other research emphasizes the role of verbal labels in learning the probabilistic similarity-based categories best learned by the associative system. This suggests that language may be relevant for the associative system in a different way than it is relevant for the hypothesis-testing system. Thus, this study investigated the ways in which language plays a role in the two systems for category learning. In the first experiment, I tested whether language is related to an individual’s ability to switch between the associative and hypothesis-testing systems. I found that participants showed remarkable ability to switch between systems regardless of their language ability. -
Predictive Decoding of Neural Data Yaroslav O
New Jersey Institute of Technology Digital Commons @ NJIT Dissertations Theses and Dissertations Spring 2009 Predictive decoding of neural data Yaroslav O. Halchenko New Jersey Institute of Technology Follow this and additional works at: https://digitalcommons.njit.edu/dissertations Part of the Computer Sciences Commons Recommended Citation Halchenko, Yaroslav O., "Predictive decoding of neural data" (2009). Dissertations. 901. https://digitalcommons.njit.edu/dissertations/901 This Dissertation is brought to you for free and open access by the Theses and Dissertations at Digital Commons @ NJIT. It has been accepted for inclusion in Dissertations by an authorized administrator of Digital Commons @ NJIT. For more information, please contact [email protected]. Cprht Wrnn & trtn h prht l f th Untd Stt (tl , Untd Stt Cd vrn th n f phtp r thr rprdtn f prhtd trl. Undr rtn ndtn pfd n th l, lbrr nd rhv r thrzd t frnh phtp r thr rprdtn. On f th pfd ndtn tht th phtp r rprdtn nt t b “d fr n prp thr thn prvt td, hlrhp, r rrh. If , r rt fr, r ltr , phtp r rprdtn fr prp n x f “fr tht r b lbl fr prht nfrnnt, h ntttn rrv th rht t rf t pt pn rdr f, n t jdnt, flfllnt f th rdr ld nvlv vltn f prht l. l t: h thr rtn th prht hl th r Inttt f hnl rrv th rht t dtrbt th th r drttn rntn nt: If d nt h t prnt th p, thn lt “ fr: frt p t: lt p n th prnt dl rn h n tn lbrr h rvd f th prnl nfrtn nd ll ntr fr th pprvl p nd brphl th f th nd drttn n rdr t prtt th dntt f I rdt nd flt. -
Pyglet Documentation Release 1.2Alpha1
pyglet Documentation Release 1.2alpha1 Alex Holkner October 13, 2013 CONTENTS 1 Programming Guide: 3 1.1 pyglet Programming Guide.......................................3 2 API Reference: 87 2.1 API Reference.............................................. 87 3 Testing Framework: 117 4 Related Documentation: 119 Python Module Index 121 i ii pyglet Documentation, Release 1.2alpha1 Pyglet is a pure python cross-platform application framework intended for game development. It supports windowing, user interface event handling, OpenGL graphics, loading images and videos and playing sounds and music. It works on Windows, OS X and Linux. CONTENTS 1 pyglet Documentation, Release 1.2alpha1 2 CONTENTS CHAPTER ONE PROGRAMMING GUIDE: 1.1 pyglet Programming Guide breadcrumb Programming Guide The pyglet Programming Guide provides in-depth documentation for writing applications that use pyglet. Many topics described here reference the pyglet API reference, provided separately. If this is your first time reading about pyglet, we suggest you start at Writing a pyglet application. 1.1.1 Installation pyglet does not need to be installed. Because it uses no external libraries or compiled binaries, you can run it in-place. You can distribute the pyglet source code or runtime eggs alongside your application code (see Distribution). You might want to experiment with pyglet and run the example programs before you install it on your development machine. To do this, add either the extracted pyglet source archive directory or the compressed runtime egg to your PYTHONPATH. On Windows you can specify this from a command line: set PYTHONPATH c:\path\to\pyglet-1.1\;%PYTHONPATH% On Mac OS X, Linux or on Windows under cygwin using bash: set PYTHONPATH /path/to/pyglet-1.1/:$PYTHONPATH export PYTHONPATH or, using tcsh or a variant: setenv PYTHONPATH /path/to/pyglet-1.1/:$PYTHONPATH If you have downloaded a runtime egg instead of the source archive, you would specify the filename of the egg in place of pyglet-1.1/. -
Python Language
Python Language #python Table of Contents About 1 Chapter 1: Getting started with Python Language 2 Remarks 2 Versions 3 Python 3.x 3 Python 2.x 3 Examples 4 Getting Started 4 Verify if Python is installed 4 Hello, World in Python using IDLE 5 Hello World Python file 5 Launch an interactive Python shell 6 Other Online Shells 7 Run commands as a string 7 Shells and Beyond 8 Creating variables and assigning values 8 User Input 12 IDLE - Python GUI 13 Troubleshooting 14 Datatypes 15 Built-in Types 15 Booleans 15 Numbers 15 Strings 16 Sequences and collections 16 Built-in constants 17 Testing the type of variables 18 Converting between datatypes 18 Explicit string type at definition of literals 19 Mutable and Immutable Data Types 19 Built in Modules and Functions 20 Block Indentation 24 Spaces vs. Tabs 25 Collection Types 25 Help Utility 30 Creating a module 31 String function - str() and repr() 32 repr() 33 str() 33 Installing external modules using pip 34 Finding / installing a package 34 Upgrading installed packages 34 Upgrading pip 35 Installation of Python 2.7.x and 3.x 35 Chapter 2: *args and **kwargs 38 Remarks 38 h11 38 h12 38 h13 38 Examples 39 Using *args when writing functions 39 Using **kwargs when writing functions 39 Using *args when calling functions 40 Using **kwargs when calling functions 41 Using *args when calling functions 41 Keyword-only and Keyword-required arguments 42 Populating kwarg values with a dictionary 42 **kwargs and default values 42 Chapter 3: 2to3 tool 43 Syntax 43 Parameters 43 Remarks 44 Examples 44 Basic -
Pipenightdreams Osgcal-Doc Mumudvb Mpg123-Alsa Tbb
pipenightdreams osgcal-doc mumudvb mpg123-alsa tbb-examples libgammu4-dbg gcc-4.1-doc snort-rules-default davical cutmp3 libevolution5.0-cil aspell-am python-gobject-doc openoffice.org-l10n-mn libc6-xen xserver-xorg trophy-data t38modem pioneers-console libnb-platform10-java libgtkglext1-ruby libboost-wave1.39-dev drgenius bfbtester libchromexvmcpro1 isdnutils-xtools ubuntuone-client openoffice.org2-math openoffice.org-l10n-lt lsb-cxx-ia32 kdeartwork-emoticons-kde4 wmpuzzle trafshow python-plplot lx-gdb link-monitor-applet libscm-dev liblog-agent-logger-perl libccrtp-doc libclass-throwable-perl kde-i18n-csb jack-jconv hamradio-menus coinor-libvol-doc msx-emulator bitbake nabi language-pack-gnome-zh libpaperg popularity-contest xracer-tools xfont-nexus opendrim-lmp-baseserver libvorbisfile-ruby liblinebreak-doc libgfcui-2.0-0c2a-dbg libblacs-mpi-dev dict-freedict-spa-eng blender-ogrexml aspell-da x11-apps openoffice.org-l10n-lv openoffice.org-l10n-nl pnmtopng libodbcinstq1 libhsqldb-java-doc libmono-addins-gui0.2-cil sg3-utils linux-backports-modules-alsa-2.6.31-19-generic yorick-yeti-gsl python-pymssql plasma-widget-cpuload mcpp gpsim-lcd cl-csv libhtml-clean-perl asterisk-dbg apt-dater-dbg libgnome-mag1-dev language-pack-gnome-yo python-crypto svn-autoreleasedeb sugar-terminal-activity mii-diag maria-doc libplexus-component-api-java-doc libhugs-hgl-bundled libchipcard-libgwenhywfar47-plugins libghc6-random-dev freefem3d ezmlm cakephp-scripts aspell-ar ara-byte not+sparc openoffice.org-l10n-nn linux-backports-modules-karmic-generic-pae -
Pyglet Programming Guide the Pyglet Programming Guide Provides In-Depth Documentation for Writing Applications That Use Pyglet
Programming Guide Next: Installation pyglet Programming Guide The pyglet Programming Guide provides in-depth documentation for writing applications that use pyglet. Many topics described here reference the pyglet API reference, provided separately. If this is your first time reading about pyglet, we suggest you start at Writing a pyglet application. Sections • Installation • Writing a pyglet application • Creating an OpenGL context • The OpenGL interface • Graphics • Windowing • The application event loop • The pyglet event framework • Working with the keyboard • Working with the mouse • Keeping track of time • Displaying text • Images • Sound and video • Application resources • Debugging tools • Appendix: Migrating to pyglet 1.1 Table of contents • Installation ♦ Installing using setup.py ♦ Installation from the runtime eggs • Writing a pyglet application ♦ Hello, World ♦ Image viewer ♦ Handling mouse and keyboard events ♦ Playing sounds and music ♦ Where to next? • Creating an OpenGL context ♦ Displays, screens, configs and contexts ◊ Contexts and configs ◊ Displays ◊ Screens ♦ OpenGL configuration options ◊ The default configuration ♦ Simple context configuration ♦ Selecting the best configuration ♦ Sharing objects between contexts • The OpenGL interface ♦ Using OpenGL pyglet Programming Guide 1 Programming Guide ♦ Resizing the window ♦ Error checking ♦ Using extension functions ♦ Using multiple windows ♦ AGL, GLX and WGL • Graphics ♦ Drawing primitives ♦ Vertex attributes ♦ Vertex lists ◊ Updating vertex data ◊ Data usage ◊ Indexed -
Travma Sonrası Stres Bozukluğu Tedavisinde Bilişsel Ve Davranışçı Yaklaşımlar 28
Hasan Kalyoncu Üniversitesi Psikoloji Bölümü www.hku.edu.tr Havalimanı Yolu Üzeri 8.Km 27410 Şahinbey/GAZİANTEP +90 (342) 211 80 80 - [email protected] EDİTÖR Doç. Dr. Şaziye Senem BAŞGÜL YARDIMCI EDİTÖR Arş. Gör. Saadet YAPAN YAYIN KURULU Prof. Dr. Mehmet Hakan TÜRKÇAPAR Prof. Dr. Mücahit ÖZTÜRK Prof. Dr. Bengi SEMERCİ Prof. Dr. Osman Tolga ARICAK Doç. Dr. Şaziye Senem BAŞGÜL Doç. Dr. Hanna Nita SCHERLER Öğr. Gör. Mehmet DİNÇ Öğr. Gör. Ferhat Jak İÇÖZ Öğr. Gör. Mediha ÖMÜR Arş. Gör. Saadet YAPAN Arş. Gör. Mahmut YAY Arş. Gör. Feyza TOPÇU DANIŞMA KURULU Prof. Dr. Can TUNCER Doç. Dr. Zümra ÖZYEŞİL Yrd. Doç. Dr. Itır TARI CÖMERT Dr. Özge MERGEN Dr. Akif AVCU KAPAK TASARIM Uğur Servet KARALAR GRAFİK UYGULAMA Yakup BAYRAM 0342 211 80 80 psikoloji.hku.edu.tr [email protected] Havalimanı Yolu Üzeri 8. Km 27410 Şahinbey/GAZİANTEP Sonbahar ve ilkbahar sayıları olarak yılda iki kere çıkar. İÇİNDEKİLER Önsöz 4 Editörden 5 Bilimsel Bir Araştırmanın Yol Haritası 6 Psikoterapilere Varoluşçu Bir Bakış 10 Anne, Baba ve Çocuk Tarafından Algılanan Ebeveyn Kabul-Ret ve Kontrolünün Çocuğun Duygu Düzenleme Becerisi İle İlişkisi 13 Fabrika İşçilerinde Stres ve Depresyon Arasındaki İlişki 20 Travma Sonrası Stres Bozukluğu Tedavisinde Bilişsel ve Davranışçı Yaklaşımlar 28 Araştırmalar ve Olgu Değerlendirmelerinde Nöro-Psikolojik Testler ve Bilgisayar Programlarının Bütünleştirilmesi: Bir Gözden Geçirme 32 Tez Özetleri 35 ÖNSÖZ Değerli okurlarımız, Hasan Kalyoncu Üniversitesi Psikoloji Bölümü öğretim üyeleri ve öğ- rencilerinin girişimiyle yayınlanan Psikoloji Araştırmaları dergisinin yeni bir sayısıyla yeniden karşınızdayız. Yolculuğumuz dördüncü sayı- sına ulaştı. Psikoloji Araştırmaları dergisinin bu sayısında, klinik çalışmalar ve göz- den geçirme derleme yazıları yer alıyor. -
Simple Though an Important Programming Language
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 02 | Feb 2019 www.irjet.net p-ISSN: 2395-0072 Python: Simple though an Important Programming language Yogesh Rana UG Scholar, IT Department, Vidyalankar School of Information Technology, Mumbai, Mumbai University, Maharashtra, India ---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract - Python is an interpreted, high-level, general- Worlds one of the most popular coding language purpose programming language. Created by Guido van Rossum and first released in 1991, It is used for both The popularity of Python has risen steadily over the past 15 learning and real-life programming. It is easy to learn as years, finally breaking the top 5 on the Tiobe Index a few most of the commands are similar to normal word used by years ago. This is because Python is a major language in humans (e.g. To print any statement or any value we simply some of most exciting technologies today. Machine learning, write “print (statements)”). Many of the famous application artificial intelligence (AI), Big Data, and Robotics all rely are developed using python (e.g. Instagram, Dropbox.). heavily on Python (Robotics also relies on C for its use in Python might have a great scope in future so it’s a very systems programming). Cyber Security, one of the top important language. In this paper we will see why python is software challenges of our time, is also driven by Python. so important and why we should learn in. It’s surprising how simple Python is to learn. It’s now Key words - Python, Python programming, high level the most popular introductory language taught in programming language, Real world programming. -
Package Pyglet.Gl
Programming Guide Next: Installation pyglet Programming Guide The pyglet Programming Guide provides in-depth documentation for writing applications that use pyglet. Many topics described here reference the pyglet API reference, provided separately. If this is your first time reading about pyglet, we suggest you start at Writing a pyglet application. Sections • Installation • Writing a pyglet application • Creating an OpenGL context • The OpenGL interface • Graphics • Windowing • The application event loop • The pyglet event framework • Working with the keyboard • Working with the mouse • Keeping track of time • Displaying text • Images • Sound and video • Application resources • Debugging tools • Appendix: Migrating to pyglet 1.1 Table of contents • Installation ♦ Installing using setup.py ♦ Installation from the runtime eggs • Writing a pyglet application ♦ Hello, World ♦ Image viewer ♦ Handling mouse and keyboard events ♦ Playing sounds and music ♦ Where to next? • Creating an OpenGL context pyglet Programming Guide 1 Programming Guide ♦ Displays, screens, configs and contexts ◊ Contexts and configs ◊ Displays ◊ Screens ♦ OpenGL configuration options ◊ The default configuration ♦ Simple context configuration ♦ Selecting the best configuration ♦ Sharing objects between contexts • The OpenGL interface ♦ Using OpenGL ♦ Resizing the window ♦ Error checking ♦ Using extension functions ♦ Using multiple windows ♦ AGL, GLX and WGL • Graphics ♦ Drawing primitives ♦ Vertex attributes ♦ Vertex lists ◊ Updating vertex data ◊ Data usage ◊ Indexed -
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jimportneoneo_clienterrorentitynotfoundrelatedtonoeneo_j_sdn neo_j_traversalcyperneo_jclientpy_neo_neo_jneo_jphpgraphesrelsjshelltraverserwritebatchtransactioneventhandlerbatchinsertereverymangraphenedbgraphdatabaseserviceneo_j_communityjconfigurationjserverstartnodenotintransactionexceptionrest_graphdbneographytransactionfailureexceptionrelationshipentityneo_j_ogmsdnwrappingneoserverbootstrappergraphrepositoryneo_j_graphdbnodeentityembeddedgraphdatabaseneo_jtemplate neo_j_spatialcypher_neo_jneo_j_cyphercypher_querynoe_jcypherneo_jrestclientpy_neoallshortestpathscypher_querieslinkuriousneoclipseexecutionresultbatch_importerwebadmingraphdatabasetimetreegraphawarerelatedtoviacypherqueryrecorelationshiptypespringrestgraphdatabaseflockdbneomodelneo_j_rbshortpathpersistable withindistancegraphdbneo_jneo_j_webadminmiddle_ground_betweenanormcypher materialised handaling hinted finds_nothingbulbsbulbflowrexprorexster cayleygremlintitandborient_dbaurelius tinkerpoptitan_cassandratitan_graph_dbtitan_graphorientdbtitan rexter enough_ram arangotinkerpop_gremlinpyorientlinkset arangodb_graphfoxxodocumentarangodborientjssails_orientdborientgraphexectedbaasbox spark_javarddrddsunpersist asigned aql fetchplanoriento bsonobjectpyspark_rddrddmatrixfactorizationmodelresultiterablemlibpushdownlineage transforamtionspark_rddpairrddreducebykeymappartitionstakeorderedrowmatrixpair_rddblockmanagerlinearregressionwithsgddstreamsencouter fieldtypes spark_dataframejavarddgroupbykeyorg_apache_spark_rddlabeledpointdatabricksaggregatebykeyjavasparkcontextsaveastextfilejavapairdstreamcombinebykeysparkcontext_textfilejavadstreammappartitionswithindexupdatestatebykeyreducebykeyandwindowrepartitioning -
A Glance at Psychophysics Software Programs
Basic and Clinical Spring 2011, Volume 2, Number 3 A Glance at Psychophysics Software Programs Ali Yoonessi 1,2, Ahmad Yoonessi 3 1. School of Advanced Medical Technologies, Tehran University of Medical Sciences, Tehran, Iran. 2. Iranian National Center for Addiction Studies, Tehran University of Medical Sciences, Tehran, Iran. 2. McGill Vision Research, McGill University, Canada Article info: A B S T R A C T Received: 23 January 2011 First Revision: 14 February 2011 Accepted: 2 March 2011 Visual stimulation with precise control of stimulus has transformed the field of psychophysics since the introduction of personal computers. Luminance and chromatic features of stimulus, timing, and position of the stimulus are the main features that could be defined using programs written specifically for psychophysical experiments. In this manuscript, software used for the psychophysical experiments have been reviewed and evaluated for ease of use, license, popularity, and expandability. 1. Introduction and Psychopy4. Psychtoolbox is a toolbox written for Matlab, a commercially available software for signal ince the foundation of psychophysics by processing. Psychopy is an open-source platform-inde- Ibn-Haytham in the 4th century (Solar Hi- pendent program written under Python, a very popular jri, S.H.), scientists have been puzzled by programming tool. Visionegg is another open-source the complexity of visual experience1. His software for generating stimuli. Other programs include S method of controlled experiment made him Presentation, e-Prime, and Psykinematix. These pro- the pioneer of scientific methods 2. With development grams are commercial products and the prices vary up of personal computers in 1970s, vision scientists real- to more than 1000$.