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SCIS Boardman Labs User Manual Version5
SCIS Common Use Labs in Boardman Hall USER MANUAL Note: The instructions in this manual assume students walking into the labs are first-time users of the labs and are complete novices in using the machines. Table of Contents Page I. Access to Boardman Hall SCIS Labs for Computer Science and New Media Students A. Services Provided 2 B. Gaining Access to Lab Rooms and Computers 3 II. SCIS Common Use Lab (Room 138 Boardman) A. Services Provided 3 B. Use of iMacs on Tables 4 C. Use of Large Table Monitor for Sharing Among Table Group 4 D. Use of Overhead Projector 5 E. Use of Laser Printer (8 ½ by 11” Prints) 6 F. Use of Large Format Plotter 7 G. Software Available on Computers in Room 138 7 H. Equipment Available for Checkout from Room 138 Lab Monitors 8 III. Combined Focus Ring and Stillwater Labs (Rooms 127 and 129 Boardman) A. Services Provided 8 B. Use of iMacs on Tables 9 C. Use of Cybertron PC for AI and VR D. Use of … E. Software Available on Computers in Rooms 127 and 129 F. Equipment Checkout Procedure G. Equipment Available for Checkout from Rooms 127 and 129 Lab Monitors IV. SCIS Student Lounge and Project Work Room (Room 137 Boardman) A. Services Provided B. Use of Large Screen by Students APPENDICES Appendix A. Laptop Computer Recommendations for Computer Science Students Appendix B. Laptop Computer Recommendations for New Media Students Appendix C. Convenient Web Resources for Development of Computer Code Note: On SCIS web site all of the above topics will link to anchors at the same topics below. -
Programming Environments
Programming Environments Presenter: Steve Baskauf [email protected] CodeGraf landing page • vanderbi.lt/codegraf What is an environment? vanderbi.lt/codegraf Coding environment • The definition of "environment" is a bit murky • We can consider an environment to include: • the value of defined variables • functions available to be used in our code • knowledge about position in file directory structure and other computer-wide parameters Accessing via the shell • Python example • R example Integrated development environment (IDE) What is an integrated development environment (IDE)? • An IDE is a graphical user interface (GUI) for developing code • An IDE includes: • a code editor • a shell • An IDE might include: • tools for examining the environment • formatting help and syntax checking • mechanisms for debugging code • a package manager Thonny example • Thonny is a simple Python IDE Spyder IDE for Python RStudio IDE for R Literate programming with Jupyter notebooks Literate programming • Programming paradigm for making code understandable to humans • Mix text, images, links with code. • Implementable in a primitive fashion with comments (#) • Implementable in a robust way with Jupyter notebooks and R Markdown Example: Jupyter notebooks • Formerly known as "iPython notebooks" (.ipynb file extension) • Now usable with Python, R, and other programming languages • Runnable in a browser when connected to a server • Viewable in GitHub (but not runnable) Functions Functions argument parameter • A function defines a block of code. • We pass arguments into functions: • functionName(argument1, argument2, ...) • It’s good to name functions by what they do. returned Example: value my_latte = make_latte(beans, milk, water) • Functions can be: • built-in • defined by you in your code • defined by somebody else in a module Image: Nykamp DQ, “Function machine f.” From Math Insight. -
Research Manual
MOBILE FORENSICS APPLICATION Research Manual Student: Connor Scanlan – C00226867 Supervisor: James Egan Cybercrime & IT Security – CW_KCCYB_B Institute of Technology Carlow Table of Contents Abstract .................................................................................................. 3 Introduction ............................................................................................. 3 Research ................................................................................................. 4 The need for better Mobile Forensics tools ......................................................... 4 Use of mobile phones to store and transmit sensitive information ........................... 4 Online transactions .................................................................................. 5 Law Enforcement and Criminals ................................................................... 5 Mobile Data as Evidence ............................................................................... 6 Definition of Digital Evidence ...................................................................... 6 Principles of Electronic Evidence .................................................................. 6 Framework of Mobile Forensics....................................................................... 8 Mobile Forensics System Structure ................................................................ 8 Mobile Forensics Processes ......................................................................... 9 Mobile Data Collection -
Instalación Wxpython Y Pyo En Thonny
Instalaci´on wxPython y pyo en Thonny Inform´aticaIII ISM - UNL [email protected] updated: 29 ago 2018 ´Indice 1. Introducci´on 2 2. Instalaci´onen Windows 7/8.1/10 (32 y 64 bits) 3 2.1. Reconocer arquitectura del Sistema Operativo . .3 2.2. Instalar paquetes de MS Visual C++ . .3 2.3. Instalar wxPython con Thonny .........................................4 2.4. Instalar pyo en Thonny . .5 2.5. Instalaci´onde wxFormBuilder .........................................6 3. Instalaci´onen Linux (Ubuntu 16.04 64 bits) 8 3.1. Prerrequisitos . .8 3.2. Instalar wxPython en Thonny .........................................8 3.3. Instalar pyo en Thonny . 10 3.4. Instalaci´onde wxFormBuilder ......................................... 12 4. Instalaci´onen MacOSX (Sierra 10.12 - 64 bits) 13 4.1. Instalar wxPython con Thonny ......................................... 13 4.2. Instalar pyo con Thonny ............................................ 14 4.3. Instalaci´onde wxFormBuilder ......................................... 16 1. Introducci´on En este documento se intentar´adar los pasos para la instalaci´onde wxPython y pyo en la interfaz Thonny. wxPython (https://wxpython.org) es un conjunto de librer´ıasgr´aficaspara Python que permite la interacci´on entre el usuario y componentes GUI (Graphical User Interface) de manera tal que se pueda programar ventanas, botones, listas, menu´es,facilitando as´ıla interacci´onentre el usuario y los programas. Por otro lado, pyo (http://ajaxsoundstudio.com/software/pyo) es un m´odulode Python dise~nadopor Olivier Belanger (PhD en Composici´onElectroac´usticadel Ajax Sound Studio, de Montreal, Canad´a)para procesamiento digital de se~nales(o DSP - Digital Signal Processing) que se utilizar´apara sintetizar, filtrar y generar efectos de audio utilizando Python. -
Portable Opengl (ES) Jamie Madill / July 31, 2019
ANGLE Portable OpenGL (ES) Jamie Madill / July 31, 2019 ANGLE is an OpenGL driver that.. ● Translates OpenGL to native commands on multiple major OSes. ● Gives portable OpenGLby working around driver bugs. ANGLE has billions of users! ● Several popular browsers use ANGLE for Code is like a layer cake. Application Entry Points GL Validation GL Context ANGLE Front-End (State Tracking) GL Back-End Vk Back-End D3D Back-End Validation Vulkan LVL Debug Runtime Driver GL Driver Vulkan Driver D3D Driver Slicing the layers angle::Result Buffer::bufferData(Context *context, BufferBinding target, const void *data, Entry Points GLsizeiptr size, BufferUsage usage) { GL Validation GL Context ANGLE_TRY(mImpl->setData(context, target, data, size, usage)); Front-End (State Tracking) mIndexRangeCache.clear(); mState.mUsage = usage; mState.mSize = size; GL Back-End Vk Back-End D3D Back-End onStateChange(angle::SubjectMessage::SubjectChanged); return angle::Result::Continue; } Slicing the layers angle::Result BufferVk::setData(const gl::Context *context, gl::BufferBinding target, Entry Points const void *data, size_t size, gl::BufferUsage usage) GL Validation GL Context { ContextVk *contextVk = vk::GetImpl(context); Front-End (State Tracking) if (size > static_cast<size_t>(mState.getSize())) { // Release and re-create the memory and buffer. GL Back-End Vk Back-End D3D Back-End release(contextVk); VkBufferCreateInfo createInfo = { /* ... */ }; ANGLE_TRY(mBuffer.init(contextVk, createInfo, kMemoryPropertyFlags)); } if (data && size > 0) { ANGLE_TRY(setDataImpl(contextVk, data, size, 0)); } return angle::Result::Continue; } What’s next: Android ○ Vendors must supportlegacy GL drivers. ○ They also must support theVulkan API. Vendor “A” Vendor “B” Vendor “C” Vendor “D” What’s next: Android ○ Focus on high quality Vulkan drivers with GL emulation. -
Stronger NYC Communities Organizational Digital Security Guide
Stronger NYC Communities Organizational Digital Security Guide For Trainers and Participants Build Power - not Paranoia! NYC Stronger Communities | Toolkit 1 Creative Commons Attribution-ShareAlike 4.0 International, July 2018 This work supported by Mozilla Foundation, the NYC Mayor’s Office of Immigrant Affairs, NYC Mayor’s Office of the CTO, and Research Action Design. CREDITS Project designed and lead by Sarah Aoun and Bex Hong Hurwitz. Curriculum lead writing by Rory Allen. Workshops, activities, and worksheets were developed by Nasma Ahmed, Rory Allen, Sarah Aoun, Rebecca Chowdhury, Hadassah Damien, Harlo Holmes, Bex Hong Hurwitz, David Huerta, Palika Makam (WITNESS), Kyla Massey, Sonya Reynolds, and Xtian Rodriguez. This Guide was arranged and edited by Hadassah Damien, and designed by Fridah Oyaro, Summer 2018. More at: https://strongercommunities.info NYC Stronger Communities | Toolkit 2 Table of Contents ORGANIZATIONAL DIGITAL SECURITY GUIDE This guide provides tools and ideas to help organizational digital security workshop leaders approach the work including a full facilitator’s guide with agendas and activities; for learners find a participant guide with homework, exercises, and a resource section. 01 03 INTRODUCTION ............................................ 4 PARTICIPANT WORKBOOK ........................................ 110 • Organizational Digital Security Right Now Introduction to the Stronger Communities • Roadmap Workshop series Self-assessment: Digital • Workshop Overview Security Bingo • Series Story • How to coordinate and plan a Stronger Workshop Participant Guides Communities workshop series • Design and facilitation tools 1. Stronger NYC Communities Workshop: • Evaluate and assess Our work is political. • Handout and activity glossary 2. Stronger Communities Workshop: Our work is both individual and collective. 3. Stronger Communities Workshop: Our 02 work is about learning from and taking care of each other. -
Python Intro #1
Python Intro #1 Python is a popular programming language. It was created by Guido van Rossum, and released in 1991. It is used for: • web development (server-side), • software development, • mathematics, • system scripting. What can Python do? • Python can be used on a server to create web applications. • Python can be used alongside software to create workflows. • Python can connect to database systems. It can also read and modify files. • Python can be used to handle big data and perform complex mathematics. • Python can be used for rapid prototyping, or for production-ready software development. Why Python? • Python works on different platforms (Windows, Mac, Linux, Raspberry Pi, etc). • Python has a simple syntax similar to the English language. • Python has syntax that allows developers to write programs with fewer lines than some other programming languages. • Python runs on an interpreter system, meaning that code can be executed as soon as it is written. This means that prototyping can be very quick. • Python can be treated in a procedural way, an object-orientated way or a functional way. Good to know • The most recent major version of Python is Python 3, which we shall be using in this tutorial. However, Python 2, although not being updated with anything other than security updates, is still quite popular. • In this tutorial Python will be written in a text editor. It is possible to write Python in an Integrated Development Environment, such as Thonny, Pycharm, Netbeans or Eclipse which are particularly useful when managing larger collections of Python files. • Python Syntax compared to other programming languages • Python was designed for readability, and has some similarities to the English language with influence from mathematics. -
Getting Started with Opengl ES 3+ Programming
Getting Started with OpenGL ES 3+ Programming Learn Modern OpenGL Basics Hans de Ruiter Getting Started with OpenGL ES 3+ Programming Hans de Ruiter Version 1.1 – 5 April 2017 Copyright © 2017 by Kea Sigma Delta Limited, all rights reserved. Distribute the Link, Not the Book It takes a lot of time and effort to produce resources like this, and we think it’s great when people find it useful and want to share. However, please share the following link instead of distributing (illegal) copies. That way they get a legitimate copy and we’re able to continue producing quality content: https://keasigmadelta.com/gles3-sdl2-tutorial We’ve done everything we can to make the contents of this book as accurate as possible. However, due to the complex nature of the topics and possible human error, we cannot guarantee absolute accuracy. Also, continual research and development means that things are ever changing. No liability is assumed for losses or damages due to the information provided. You are responsible for your own choices, actions, and results. 2 Table of Contents Introduction..............................................................................................................................................5 Who is this For?...................................................................................................................................5 Why OpenGL ES 3+ and SDL2?........................................................................................................5 How to Get the Most Out of These Tutorials......................................................................................6 -
Minecraft Pi DEVELOPED by D-LEARN & CCSDE Minecraft Pi Is a Version of Minecraft, with Minimal Features, Developed for Raspberry Pi
Reviving hands-on educational play for learning skills of tomorrow MODULE 1 PROJECT N° 2019-1-UK01-KA201-061466 Minecraft Pi DEVELOPED BY D-LEARN & CCSDE Minecraft Pi is a version of Minecraft, with minimal features, developed for Raspberry Pi. Pi edition is intended as an educational tool for novice programmers, allowing users to enjoy the game and learn programming at the same time. This resource presents the most important and practical guidelines for Minecraft Pi, such as how to control the player, manually build with blocks and use the Python interface to manipulate the world around you. It is meant for educational purposes and is considered a quick but all-inclusive manual for introducing a new player to Minecraft Pi. Once you follow this module you will be able to: • Access Minecraft Pi and create a new world • Navigate around Minecraft Pi • Know how to place and destroy a block, and navigate through different types of blocks in the in-game inventory • Connect Python to Minecraft Pi • Use the Python programming interface • Manipulate blocks using Python scripts • Make Minecraft interact with the physical world through the Raspberry Pi GPIO • Introduction to Minecraft Pi basic functions • Minecraft Pi elements and gameplay • Controlling Minecraft Pi with Python • Interaction of Minecraft Pi with the physical world through the Raspberry Pi’s GPIO: Connecting LEDs, buttons and switches Create electronic kits to interact with Minecraft Pi Once you have followed this topic you will be able to: • Know the basics before running Minecraft Pi • Run Minecraft Pi on your Play2Learn computer • Navigate around Minecraft Pi • Use the controls on your mouse and keyboard Playing Minecraft Pi for the first time: Your Play2Learn computer contains everything that you need to run Minecraft Pi in terms of software. -
Effective Opengl 5 September 2016, Christophe Riccio
Effective OpenGL 5 September 2016, Christophe Riccio Table of Contents 0. Cross platform support 3 1. Internal texture formats 4 2. Configurable texture swizzling 5 3. BGRA texture swizzling using texture formats 6 4. Texture alpha swizzling 7 5. Half type constants 8 6. Color read format queries 9 7. sRGB texture 10 8. sRGB framebuffer object 11 9. sRGB default framebuffer 12 10. sRGB framebuffer blending precision 13 11. Compressed texture internal format support 14 12. Sized texture internal format support 15 13. Surviving without gl_DrawID 16 14. Cross architecture control of framebuffer restore and resolve to save bandwidth 17 15 Building platform specific code paths 18 16 Max texture sizes 19 17 Hardware compression format support 20 18 Draw buffers differences between APIs 21 19 iOS OpenGL ES extensions 22 20 Asynchronous pixel transfers 23 Change log 24 0. Cross platform support Initially released on January 1992, OpenGL has a long history which led to many versions; market specific variations such as OpenGL ES in July 2003 and WebGL in 2011; a backward compatibility break with OpenGL core profile in August 2009; and many vendor specifics, multi vendors (EXT), standard (ARB, OES), and cross API extensions (KHR). OpenGL is massively cross platform but it doesn’t mean it comes automagically. Just like C and C++ languages, it allows cross platform support but we have to work hard for it. The amount of work depends on the range of the application- targeted market. Across vendors? Eg: AMD, ARM, Intel, NVIDIA, PowerVR and Qualcomm GPUs. Across hardware generations? Eg: Tesla, Fermi, Kepler, Maxwell and Pascal architectures. -
Android Versions in Order
Android Versions In Order Mohamed remains filmiest after Husein idolatrized whereby or urbanising any indulgences. Barret mums his hammals curves saprophytically or bellicosely after Ware debilitates and overweights henceforward, fuzzier and Elohistic. Satyrical Brinkley plumb inquietly. Link ringcomapp will automatically begin downloading the correct version for. Cupcake was the obvious major overhaul of the Android OS. Incompatible with beta versions of OSes. Which phones will get Android 10 update? It also makes your Realm file slightly larger, to lest the index. Adjustandroidsdk This type the Android SDK of GitHub. When our, native code should render appropriate public Java API methods. Remember our switch if your live stream key in production. This tells GSON to dental this database during serialization. These cookies do not quarrel any personal information. Cordova's CLI tools require cold environment variables to be set in police to. Privacy is a tall piece for Google given especially the company makes money and. Similar note the displays the Galaxy S20 is myself being used as a clip for Samsung's improved camera tech. Major version in order will be careful not go on to combine multiple user switches to black and audio option depending on their devices will use. Set in android versions for managing telephone videos, with multiple cameras and restore for a layer window, and voicemails across mobile app is used apps. This grass had very helpful to keep through the dependency versions together, as previously required. Android and choose to drop using dessert names to century to the version of its mobile operating systems. We use in order to insert your version in which you when the versions of. -
2018Dec Buffalo Python Meetup
Tim Poulsen Software Engineer R&D Team ACV Labs RASPBERRY PI Overview & Examples Board components Basic setup Python dev Libraries Resources https://github.com/skypanther/PiLit https://www.timpoulsen.com/2018/pi-birdcam.html Camera controller board PyImageSearch blog www.pyimagesearch.com/2015/05/25/basic-motion-detection-and- tracking-with-python-and-opencv/ PI 3B+ Micro SD slot (back side) Power in (micro-USB) HDMI GPIO, I2C, serial CSI camera Stereo audio out Broadcom BCM2837B0, Cortex-A53 (ARMv8) 64-bit SoC @ 1.4GHz 1GB LPDDR2 SDRAM 2.4GHz and 5GHz IEEE Gigabit 802.11.b/g/n/ac 4 x USB 2.0 Ethernet Bluetooth 4.2, BLE OS OPTIONS • Raspbian (customized Debian distro) • NOOBs - an installer, not an OS • Third-party provided Ubuntu, Windows 10 IoT Core, RISC OS, etc. OS SETUP • Download OS “image” .img file • Copy to SD card • Insert in Pi and boot Etcher app - https://www.balena.io/etcher/ DEV ENVIRONMENT • Python 2.x / 3.x • Ruby • C • Wolfram language • C++ • SonicPi • Java • Git • Scratch IDEs Pre-installed: Installable: • Thonny (Python) • VS Code - https:// • Geany (multiple) code.headmelted.com/ • BlueJ (Java) • Spyder • Greenfoot (Java) • Ninja-IDE • Mathematica • • Node-RED Lazarus • Scratch • lots more… PYTHON LIBRARIES Pre-installed: Installable: • Any Python-only library • RPi.GPIO • Or, any that will compile for • GPIO Zero ARM • www.piwheels.org - • PiCamera precompiled packages • e.g. OpenCV, Tensorflow, WiringPi, etc. GPIO BASICS from gpiozero import LED from time import sleep red = LED(17) while True: red.on() sleep(1) red.off() sleep(1) GPIO / I2C / SERIAL https://pinout.xyz/ SERIAL OVER USB import serial # open serial port ser = serial.Serial('/dev/ttyUSB0') # write a string ser.write(b'hello') # close port ser.close() PICAMERA from picamera import PiCamera from time import sleep camera = PiCamera() camera.resolution = (1024, 768) camera.start_preview() # Camera warm-up time sleep(2) camera.capture('foo.jpg') THANKS! • timpoulsen.com • github.com/skypanther • @skypanther • www.linkedin.com/in/timpoulsen.