Pyglet Documentation Release 1.2.4
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Open Babel Documentation Release 2.3.1
Open Babel Documentation Release 2.3.1 Geoffrey R Hutchison Chris Morley Craig James Chris Swain Hans De Winter Tim Vandermeersch Noel M O’Boyle (Ed.) December 05, 2011 Contents 1 Introduction 3 1.1 Goals of the Open Babel project ..................................... 3 1.2 Frequently Asked Questions ....................................... 4 1.3 Thanks .................................................. 7 2 Install Open Babel 9 2.1 Install a binary package ......................................... 9 2.2 Compiling Open Babel .......................................... 9 3 obabel and babel - Convert, Filter and Manipulate Chemical Data 17 3.1 Synopsis ................................................. 17 3.2 Options .................................................. 17 3.3 Examples ................................................. 19 3.4 Differences between babel and obabel .................................. 21 3.5 Format Options .............................................. 22 3.6 Append property values to the title .................................... 22 3.7 Filtering molecules from a multimolecule file .............................. 22 3.8 Substructure and similarity searching .................................. 25 3.9 Sorting molecules ............................................ 25 3.10 Remove duplicate molecules ....................................... 25 3.11 Aliases for chemical groups ....................................... 26 4 The Open Babel GUI 29 4.1 Basic operation .............................................. 29 4.2 Options ................................................. -
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/. -
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/. -
Psychology Software for Python Release 3.0.2
PsychoPy - Psychology software for Python Release 3.0.2 Jonathan Peirce Jan 29, 2019 Contents 1 About PsychoPy 1 2 General issues 3 3 Installation 29 4 Manual install 31 5 Getting Started 35 6 Builder 43 7 Coder 75 8 Running studies online 95 9 Reference Manual (API) 103 10 Troubleshooting 325 11 Recipes (“How-to”s) 329 12 Frequently Asked Questions (FAQs) 341 13 Resources (e.g. for teaching) 343 14 For Developers 345 15 PsychoPy Experiment file format (.psyexp) 359 Python Module Index 363 i ii CHAPTER 1 About PsychoPy 1.1 Citing PsychoPy If you use this software, please cite one of the publications that describe it. • Peirce, J. W., & MacAskill, M. R. (2018). Building Experiments in PsychoPy. London: Sage. • Peirce J. W. (2009). Generating stimuli for neuroscience using PsychoPy. Frontiers in Neuroinformatics, 2 (10), 1-8. doi:10.3389/neuro.11.010.2008 • Peirce, J. W. (2007). PsychoPy - Psychophysics software in Python. Journal of Neuroscience Methods, 162 (1-2):8-13 doi:10.1016/j.jneumeth.2006.11.017 Citing these papers gives the reviewer/reader of your study information about how the system works and it attributes some credit for its original creation. Academic assessment (whether for promotion or even getting appointed to a job in the first place) prioritises publications over making useful tools for others. Citations provide a way for the developers to justify their continued involvement in the development of the package. 1 PsychoPy - Psychology software for Python, Release 3.0.2 2 Chapter 1. About PsychoPy CHAPTER 2 General issues These are issues that users should be aware of, whether they are using Builder or Coder views. -
Python Pillow Tutorial
Python Pillow i Python Pillow About the tutorial This tutorial is about “Pillow” package, one of the important libraries of python for image manipulation. Pillow is a free and open source library for the Python programming language that allows you to easily create & manipulate digital images. In this tutorial, you will see the hands-on approach to learn different functionalities of pillow, much more than, read & save an image, creating thumbnail & merge to images, blur, crop, flip & rotate images, resizing & adding watermark, adding filters & working with colors to an image and use of pillow & numpy in machine learning. Audience This tutorial is basically designed to work as a guide for developers who wants to learn python capabilities, automate image editing. It is also for the beginners who wish to know the image processing capabilities of python using pillow package and for the web developers who wants to update and use images with logos & watermark on their websites. Prerequisites It would be helpful if you have prior knowledge on any of the below mentioned technologies such as access to computer & python is installed in it (else we need to install it), basic understanding of python data types and functions and ability to install Python dependencies, i.e. “pip install ‘package_name’”. Copyright & Disclaimer Copyright 2020 by Tutorials Point (I) Pvt. Ltd. All the content and graphics published in this e-book are the property of Tutorials Point (I) Pvt. Ltd. The user of this e-book is prohibited to reuse, retain, copy, distribute or republish any contents or a part of contents of this e-book in any manner without written consent of the publisher. -
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 -
User-Space SPI TFT Python Library - ILI9341 Created by Tony Dicola
User-space SPI TFT Python Library - ILI9341 Created by Tony DiCola Last updated on 2019-10-24 11:34:49 PM UTC Overview This code is discontinued - Check out our newer tutorial at - https://learn.adafruit.com/adafruit-2-dot-8-color- tft-touchscreen-breakout-v2/python-wiring-and-setup Does your Raspberry Pi or BeagleBone Black project need a display that's a little more capable than as mall graphic LCD (https://adafru.it/dLP) or OLED (https://adafru.it/dLQ)? Perhaps you want to display full color images and text, but don't need a full blown 'shield' like the PiTFT (http://adafru.it/1601). With the ILI9341 Python library (https://adafru.it/dLR) and a 2.8" TFT display breakout (http://adafru.it/1770) you can add a large, colorful graphic display to your Raspberry Pi or BeagleBone Black project! Update 9/2014: This library should work with the 2.2" TFT (http://adafru.it/1480) too! Check out Matthew's blog post (https://adafru.it/e15) if you are curious to see more details. This guide will show you how to wire up, install, and use a Python library to control ILI9341-based displays like the 2.8" breakout in userspace SPI - that means you don't need a kernel! This library uses an SPI connection and a couple GPIO pins to control the display, leaving many other pins free for your project's needs. Because this library is implemented in Python there's no need to use a modified kernel or kernel module to use the display. -
The Graphics Cookbook SC/15.2 —Abstract Ii
SC/15.2 Starlink Project STARLINK Cookbook 15.2 A. Allan, D. Terrett 22nd August 2000 The Graphics Cookbook SC/15.2 —Abstract ii Abstract This cookbook is a collection of introductory material covering a wide range of topics dealing with data display, format conversion and presentation. Along with this material are pointers to more advanced documents dealing with the various packages, and hints and tips about how to deal with commonly occurring graphics problems. iii SC/15.2—Contents Contents 1 Introduction 3 2 Call for contributions 3 3 Subroutine Libraries 3 3.1 The PGPLOT library . 3 3.1.1 Encapsulated Postscript and PGPLOT . 5 3.1.2 PGPLOT Environment Variables . 5 3.1.3 PGPLOT Postscript Environment Variables . 5 3.1.4 Special characters inside PGPLOT text strings . 7 3.2 The BUTTON library . 7 3.3 The pgperl package . 11 3.3.1 Argument mapping – simple numbers and arrays . 12 3.3.2 Argument mapping – images and 2D arrays . 13 3.3.3 Argument mapping – function names . 14 3.3.4 Argument mapping – general handling of binary data . 14 3.4 Python PGPLOT . 14 3.5 GLISH PGPLOT . 15 3.6 ptcl Tk/Tcl and PGPLOT . 15 3.7 Starlink/Native PGPLOT . 15 3.8 Graphical Kernel System (GKS) . 16 3.8.1 Enquiring about the display . 16 3.8.2 Compiling and Linking GKS programs . 17 3.9 Simple Graphics System (SGS) . 17 3.10 PLplot Library . 17 3.10.1 PLplot and 3D Surface Plots . 18 3.11 The libjpeg Library . 19 3.12 The giflib Library . -
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 -
Image Processing with Python (PDF)
Image Processing with Python Desert Py Meetup 26 February 2014 Sarah E. Braden Overview ● Pillow ○ Pillow is a fork of PIL, the Python Imaging Library ○ http://python-imaging.github.io/ ● OpenCV ○ http://opencv.org/ ● Files for this presentation ○ https://github.com/desertpy/presentations Why Pillow? The Python Imaging Library, (PIL) is the library for image manipulation, however... Why Pillow? … PIL’s last release was in 2009 Why Pillow? ● easier to install ● supports Python 3 ● active development ● actually works* * Non-Pillow PIL really is frustrating http://python-imaging.github.io/ What can Pillow do for me? ● Automatically generate thumbnails Modules: ● Apply image filters (auto-enhance) ● Apply watermarks (alpha layers) ● ImageOps ● Extract images from animated gifs ● ImageMath ● Extract image metadata ● ImageFilter ● Draw text for annotations (and shapes) ● ImageEnhance ● Basically script things that you might do ● ImageStat in Photoshop or GIMP for large numbers of images, in Python Pillow Setup Pillow’s prerequisites: https://pypi.python.org/pypi/Pillow/2.1.0#platform-specific-instructions Warning! Since some (most?) of Pillow's features require external libraries, prerequisites can be a little tricky After installing prereqs: $ pip install Pillow Documentation Pillow documentation: http://pillow.readthedocs.org/en/latest/about.html Image Basics: http://pillow.readthedocs.org/en/latest/handbook/concepts. html List of Modules: http://pillow.readthedocs.org/en/latest/reference/index. html Read in an image! from PIL import Image im = Image.open(infile) im.show() print(infile, im.format, "%dx%d" % im.size, im.mode) Important note: Opening an image file is a fast operation, independent of file size and compression. Pillow will read the file header and doesn’t decode or load raster data unless it has to. -
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.