Hands-On Sessions' Software Installation Manual
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Opensource Software in Mac OS X V. Zhhuta
Foss Lviv 2013 191 - Linux VM з Wordpress на Azure під’єднано до SQL-бази в приватному центрі обробки даних. Як бачимо, бізнес Microsoft вже дуже сильно зав'язаний на Open Source! Далі в доповіді будуть розглянуті подробиці інтероперабельності платформ з Linux Server, Apache Hadoop, Java, PHP, Node.JS, MongoDb, і наостанок дізнаємося про цікаві Open Source-розробки Microsoft Research. OpenSource Software in Mac OS X V. Zhhuta UK2 LImIted t/a VPS.NET, [email protected] Max OS X stem from Unix: bSD. It contains a lot of things that are common for Unix systems. Kernel, filesystem and base unix utilities as well as it's own package managers. It's not a secret that Mac OS X has a bSD kernel Darwin. The raw Mac OS X won't provide you with all power of Unix but this could be easily fixed: install package manager. There are 3 package manager: MacPorts, Fink and Homebrew. To dive in OpenSource world of mac os x we would try to install lates version of bash, bash-completion and few other utilities. Where we should start? First of all you need to install on you system dev-tools: Xcode – native development tools that contain GCC and libraries. Next step: bring a GIU – X11 into your system. Starting from Mac OS 10.8 X11 is not included in base-installation and it's need to install Xquartz(http://xquartz.macosforge.org). Now it's time to look closely to package managers MacPorts Site: www.macports.org Latest MacPorts release: 2.1.3 Number of ports: 16740 MacPorts born inside Apple in 2002. -
Xcode Package from App Store
KH Computational Physics- 2016 Introduction Setting up your computing environment Installation • MAC or Linux are the preferred operating system in this course on scientific computing. • Windows can be used, but the most important programs must be installed – python : There is a nice package ”Enthought Python Distribution” http://www.enthought.com/products/edudownload.php – C++ and Fortran compiler – BLAS&LAPACK for linear algebra – plotting program such as gnuplot Kristjan Haule, 2016 –1– KH Computational Physics- 2016 Introduction Software for this course: Essentials: • Python, and its packages in particular numpy, scipy, matplotlib • C++ compiler such as gcc • Text editor for coding (for example Emacs, Aquamacs, Enthought’s IDLE) • make to execute makefiles Highly Recommended: • Fortran compiler, such as gfortran or intel fortran • BLAS& LAPACK library for linear algebra (most likely provided by vendor) • open mp enabled fortran and C++ compiler Useful: • gnuplot for fast plotting. • gsl (Gnu scientific library) for implementation of various scientific algorithms. Kristjan Haule, 2016 –2– KH Computational Physics- 2016 Introduction Installation on MAC • Install Xcode package from App Store. • Install ‘‘Command Line Tools’’ from Apple’s software site. For Mavericks and lafter, open Xcode program, and choose from the menu Xcode -> Open Developer Tool -> More Developer Tools... You will be linked to the Apple page that allows you to access downloads for Xcode. You wil have to register as a developer (free). Search for the Xcode Command Line Tools in the search box in the upper left. Download and install the correct version of the Command Line Tools, for example for OS ”El Capitan” and Xcode 7.2, Kristjan Haule, 2016 –3– KH Computational Physics- 2016 Introduction you need Command Line Tools OS X 10.11 for Xcode 7.2 Apple’s Xcode contains many libraries and compilers for Mac systems. -
Institutionen För Datavetenskap Department of Computer and Information Science
Institutionen för datavetenskap Department of Computer and Information Science Final thesis Implementing extended functionality for an HTML5 client for remote desktops by Samuel Mannehed LIU-IDA/LITH-EX-A—14/015--SE 6/28/14 Linköpings universitet Linköpings universitet SE-581 83 Linköping, Sweden 581 83 Linköping Final thesis Implementing extended functionality for an HTML5 client for remote desktops by Samuel Mannehed LIU-IDA/LITH-EX-A--14/015--SE June 28, 2014 Supervisors: Peter Åstrand (Cendio AB), Maria Vasilevskaya (IDA) Examiner: Prof. Simin Nadjm-Tehrani På svenska Detta dokument hålls tillgängligt på Internet – eller dess framtida ersättare – under en längre tid från publiceringsdatum under förutsättning att inga extra-ordinära omständigheter uppstår. Tillgång till dokumentet innebär tillstånd för var och en att läsa, ladda ner, skriva ut enstaka kopior för enskilt bruk och att använda det oförändrat för ickekommersiell forskning och för undervisning. Överföring av upphovsrätten vid en senare tidpunkt kan inte upphäva detta tillstånd. All annan användning av dokumentet kräver upphovsmannens medgivande. För att garantera äktheten, säkerheten och tillgängligheten finns det lösningar av teknisk och administrativ art. Upphovsmannens ideella rätt innefattar rätt att bli nämnd som upphovsman i den omfattning som god sed kräver vid användning av dokumentet på ovan beskrivna sätt samt skydd mot att dokumentet ändras eller presenteras i sådan form eller i sådant sammanhang som är kränkande för upphovsmannens litterära eller konstnärliga anseende eller egenart. För ytterligare information om Linköping University Electronic Press se förlagets hemsida http://www.ep.liu.se/ In English The publishers will keep this document online on the Internet - or its possible replacement - for a considerable time from the date of publication barring exceptional circumstances. -
How to Access Python for Doing Scientific Computing
How to access Python for doing scientific computing1 Hans Petter Langtangen1,2 1Center for Biomedical Computing, Simula Research Laboratory 2Department of Informatics, University of Oslo Mar 23, 2015 A comprehensive eco system for scientific computing with Python used to be quite a challenge to install on a computer, especially for newcomers. This problem is more or less solved today. There are several options for getting easy access to Python and the most important packages for scientific computations, so the biggest issue for a newcomer is to make a proper choice. An overview of the possibilities together with my own recommendations appears next. Contents 1 Required software2 2 Installing software on your laptop: Mac OS X and Windows3 3 Anaconda and Spyder4 3.1 Spyder on Mac............................4 3.2 Installation of additional packages.................5 3.3 Installing SciTools on Mac......................5 3.4 Installing SciTools on Windows...................5 4 VMWare Fusion virtual machine5 4.1 Installing Ubuntu...........................6 4.2 Installing software on Ubuntu....................7 4.3 File sharing..............................7 5 Dual boot on Windows8 6 Vagrant virtual machine9 1The material in this document is taken from a chapter in the book A Primer on Scientific Programming with Python, 4th edition, by the same author, published by Springer, 2014. 7 How to write and run a Python program9 7.1 The need for a text editor......................9 7.2 Spyder................................. 10 7.3 Text editors.............................. 10 7.4 Terminal windows.......................... 11 7.5 Using a plain text editor and a terminal window......... 12 8 The SageMathCloud and Wakari web services 12 8.1 Basic intro to SageMathCloud................... -
Ginga Documentation Release 2.5.20160420043855
Ginga Documentation Release 2.5.20160420043855 Eric Jeschke May 05, 2016 Contents 1 About Ginga 1 2 Copyright and License 3 3 Requirements and Supported Platforms5 4 Getting the source 7 5 Building and Installation 9 5.1 Detailed Installation Instructions for Ginga...............................9 6 Documentation 15 6.1 What’s New in Ginga?.......................................... 15 6.2 Ginga Quick Reference......................................... 19 6.3 The Ginga FAQ.............................................. 22 6.4 The Ginga Viewer and Toolkit Manual................................. 25 6.5 Reference/API.............................................. 87 7 Bug reports 107 8 Developer Info 109 9 Etymology 111 10 Pronunciation 113 11 Indices and tables 115 Python Module Index 117 i ii CHAPTER 1 About Ginga Ginga is a toolkit designed for building viewers for scientific image data in Python, visualizing 2D pixel data in numpy arrays. It can view astronomical data such as contained in files based on the FITS (Flexible Image Transport System) file format. It is written and is maintained by software engineers at the Subaru Telescope, National Astronomical Observatory of Japan. The Ginga toolkit centers around an image display class which supports zooming and panning, color and intensity mapping, a choice of several automatic cut levels algorithms and canvases for plotting scalable geometric forms. In addition to this widget, a general purpose “reference” FITS viewer is provided, based on a plugin framework. A fairly complete set of “standard” plugins are provided for features that we expect from a modern FITS viewer: panning and zooming windows, star catalog access, cuts, star pick/fwhm, thumbnails, etc. 1 Ginga Documentation, Release 2.5.20160420043855 2 Chapter 1. -
Free Open Source Vnc
Free open source vnc click here to download TightVNC - VNC-Compatible Remote Control / Remote Desktop Software. free for both personal and commercial usage, with full source code available. TightVNC - VNC-Compatible Remote Control / Remote Desktop Software. It's completely free but it does not allow integration with closed-source products. UltraVNC: Remote desktop support software - Remote PC access - remote desktop connection software - VNC Compatibility - FileTransfer - Encryption plugins - Text chat - MS authentication. This leading-edge, cloud-based program offers Remote Monitoring & Management, Remote Access &. Popular open source Alternatives to VNC Connect for Linux, Windows, Mac, Self- Hosted, BSD and Free Open Source Mac Windows Linux Android iPhone. Download the original open source version of VNC® remote access technology. Undeniably, TeamViewer is the best VNC in the market. Without further ado, here are 8 free and some are open source VNC client/server. VNC remote access software, support server and viewer software for on demand remote computer support. Remote desktop support software for remote PC control. Free. All VNCs Start from the one piece of source (See History of VNC), and. TigerVNC is a high- performance, platform-neutral implementation of VNC (Virtual Network Computing), Besides the source code we also provide self-contained binaries for bit and bit Linux, installers for Current list of open bounties. VNC (Virtual Network Computing) software makes it possible to view and fully- interact with one computer from any other computer or mobile. Find other free open source alternatives for VNC. Open source is free to download and remember that open source is also a shareware and freeware alternative. -
About Basictex-2021
About BasicTeX-2021 Richard Koch January 2, 2021 1 Introduction Most TeX distributions for Mac OS X are based on TeX Live, the reference edition of TeX produced by TeX User Groups across the world. Among these is MacTeX, which installs the full TeX Live as well as front ends, Ghostscript, and other utilities | everything needed to use TeX on the Mac. To obtain it, go to http://tug.org/mactex. 2 Basic TeX BasicTeX (92 MB) is an installation package for Mac OS X based on TeX Live 2021. Unlike MacTeX, this package is deliberately small. Yet it contains all of the standard tools needed to write TeX documents, including TeX, LaTeX, pdfTeX, MetaFont, dvips, MetaPost, and XeTeX. It would be dangerous to construct a new distribution by going directly to CTAN or the Web and collecting useful style files, fonts and so forth. Such a distribution would run into support issues as the creators move on to other projects. Luckily, the TeX Live install script has its own notion of \installation packages" and collections of such packages to make \installation schemes." BasicTeX is constructed by running the TeX Live install script and choosing the \small" scheme. Thus it is a subset of the full TeX Live with exactly the TeX Live directory structure and configuration scripts. Moreover, BasicTeX contains tlmgr, the TeX Live Manager software introduced in TeX Live 2008, which can install additional packages over the network. So it will be easy for users to add missing packages if needed. Since it is important that the install package come directly from the standard TeX Live distribution, I'm going to explain exactly how I installed TeX to produce the install package. -
Unpermitted Resources
Process Check and Unpermitted Resources Common and Important Virtual Machines Parallels VMware VirtualBox CVMCompiler Windows Virtual PC Other Python Citrix Screen/File Sharing/Saving .exe File Name VNC, VPN, RFS, P2P and SSH Virtual Drives ● Dropbox.exe ● Dropbox ● OneDrive.exe ● OneDrive ● <name>.exe ● Google Drive ● etc. ● iCloud ● etc. Evernote / One Note ● Evernote_---.exe ● onenote.exe Go To Meeting ● gotomeeting launcher.exe / gotomeeting.exe TeamViewer ● TeamViewer.exe Chrome Remote ● remoting_host.exe www.ProctorU.com ● [email protected] ● 8883553043 Messaging / Video (IM, IRC) / .exe File Name Audio Bonjour Google Hangouts (chrome.exe - shown as a tab) (Screen Sharing) Skype SkypeC2CPNRSvc.exe Music Streaming ● Spotify.exe (Spotify, Pandora, etc.) ● PandoraService.exe Steam Steam.exe ALL Processes Screen / File Sharing / Messaging / Video (IM, Virtual Machines (VM) Other Saving IRC) / Audio Virtual Box Splashtop Bonjour ● iChat ● iTunes ● iPhoto ● TiVo ● SubEthaEdit ● Contactizer, ● Things ● OmniFocuse phpVirtualBox TeamViewer MobileMe Parallels Sticky Notes Team Speak VMware One Note Ventrilo Windows Virtual PC Dropbox Sandboxd QEM (Linux only) Chrome Remote iStumbler HYPERBOX SkyDrive MSN Chat Boot Camp (dual boot) OneDrive Blackboard Chat CVMCompiler Google Drive Yahoo Messenger Office (Word, Excel, Skype etc.) www.ProctorU.com ● [email protected] ● 8883553043 2X Software Notepad Steam AerooAdmin Paint Origin AetherPal Go To Meeting Spotify Ammyy Admin Jing Facebook Messenger AnyDesk -
Collabkit – a Multi-User Multicast Collaboration System Based on VNC
Humboldt-Universität zu Berlin Institut für Informatik Lehrstuhl für Rechnerorganisation und Kommunikation Diplomarbeit CollabKit – A Multi-User Multicast Collaboration System based on VNC Christian Beier 19. April 2011 Gutachter Prof. Dr. Miroslaw Malek Prof. Dr. Jens-Peter Redlich Betreuer Peter Ibach <[email protected]> Abstract Computer-supported real-time collaboration systems offer functionality to let two or more users work together at the same time, allowing them to jointly create, modify and exchange electronic documents, use applications, and share information location-independently and in real-time. For these reasons, such collaboration systems are often used in professional and academic contexts by teams of knowledge workers located in different places. But also when used as computer-supported learning environments – electronic classrooms – these systems prove useful by offering interactive multi-media teaching possibilities and allowing for location-independent collaborative learning. Commonly, computer-supported real-time collaboration systems are realised using remote desktop technology or are implemented as web applications. However, none of the examined existing commercial and academic solutions were found to support concurrent multi-user interaction in an application-independent manner. When used in low-throughput shared-medium computer networks such as WLANs or cellular networks, most of the investigated systems furthermore do not scale well with an increasing number of users, making them unsuitable for multi-user collaboration of a high number of participants in such environments. For these reasons this work focuses on the design of a collaboration system that supports concurrent multi-user interaction with standard desktop applications and is able to serve a high number of users on low-throughput shared-medium computer networks by making use of multicast data transmission. -
Pyconfr 2014 1 / 105 Table Des Matières Bienvenue À Pyconfr 2014
PyconFR 2014 1 / 105 Table des matières Bienvenue à PyconFR 2014...........................................................................................................................5 Venir à PyconFR............................................................................................................................................6 Plan du campus..........................................................................................................................................7 Bâtiment Thémis...................................................................................................................................7 Bâtiment Nautibus................................................................................................................................8 Accès en train............................................................................................................................................9 Accès en avion........................................................................................................................................10 Accès en voiture......................................................................................................................................10 Accès en vélo...........................................................................................................................................11 Plan de Lyon................................................................................................................................................12 -
Python Guide Documentation Release 0.0.1
Python Guide Documentation Release 0.0.1 Kenneth Reitz February 19, 2018 Contents 1 Getting Started with Python 3 1.1 Picking an Python Interpreter (3 vs. 2).................................3 1.2 Properly Installing Python........................................5 1.3 Installing Python 3 on Mac OS X....................................6 1.4 Installing Python 3 on Windows.....................................8 1.5 Installing Python 3 on Linux.......................................9 1.6 Installing Python 2 on Mac OS X.................................... 10 1.7 Installing Python 2 on Windows..................................... 12 1.8 Installing Python 2 on Linux....................................... 13 1.9 Pipenv & Virtual Environments..................................... 14 1.10 Lower level: virtualenv.......................................... 17 2 Python Development Environments 21 2.1 Your Development Environment..................................... 21 2.2 Further Configuration of Pip and Virtualenv............................... 26 3 Writing Great Python Code 29 3.1 Structuring Your Project......................................... 29 3.2 Code Style................................................ 40 3.3 Reading Great Code........................................... 49 3.4 Documentation.............................................. 50 3.5 Testing Your Code............................................ 53 3.6 Logging.................................................. 58 3.7 Common Gotchas............................................ 60 3.8 Choosing -
Prof. Jim Crutchfield Nonlinear Physics— Modeling Chaos
Nonlinear Physics— Modeling Chaos & Complexity Prof. Jim Crutchfield Physics Department & Complexity Sciences Center University of California, Davis cse.ucdavis.edu/~chaos Tuesday, March 30, 2010 1 Mechanism Revived Deterministic chaos Nature actively produces unpredictability What is randomness? Where does it come from? Specific mechanisms: Exponential divergence of states Sensitive dependence on parameters Sensitive dependence on initial state ... Tuesday, March 30, 2010 2 Brief History of Chaos Discovery of Chaos: 1890s, Henri Poincaré Invents Qualitative Dynamics Dynamics in 20th Century Develops in Mathematics (Russian & Europe) Exiled from Physics Re-enters Science in 1970s Experimental tests Simulation Flourishes in Mathematics: Ergodic theory & foundations of Statistical Mechanics Topological dynamics Catastrophe/Singularity theory Pattern formation/center manifold theory ... Tuesday, March 30, 2010 3 Discovering Order in Chaos Problem: No “closed-form” analytical solution for predicting future of nonlinear, chaotic systems One can prove this! Consequence: Each nonlinear system requires its own representation Pattern recognition: Detecting what we know Ultimate goal: Causal explanation What are the hidden mechanisms? Pattern discovery: Finding what’s truly new Tuesday, March 30, 2010 4 Major Roadblock to the Scientific Algorithm No “closed-form” analytical solutions Baconian cycle of successively refining models broken Solution: Qualitative dynamics: “Shape” of chaos Computing Tuesday, March 30, 2010 5 Logic of the Course Two