AN QP™/QM™ and the Qt™ GUI Framework
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
KDE 2.0 Development, Which Is Directly Supported
23 8911 CH18 10/16/00 1:44 PM Page 401 The KDevelop IDE: The CHAPTER Integrated Development Environment for KDE by Ralf Nolden 18 IN THIS CHAPTER • General Issues 402 • Creating KDE 2.0 Applications 409 • Getting Started with the KDE 2.0 API 413 • The Classbrowser and Your Project 416 • The File Viewers—The Windows to Your Project Files 419 • The KDevelop Debugger 421 • KDevelop 2.0—A Preview 425 23 8911 CH18 10/16/00 1:44 PM Page 402 Developer Tools and Support 402 PART IV Although developing applications under UNIX systems can be a lot of fun, until now the pro- grammer was lacking a comfortable environment that takes away the usual standard activities that have to be done over and over in the process of programming. The KDevelop IDE closes this gap and makes it a joy to work within a complete, integrated development environment, combining the use of the GNU standard development tools such as the g++ compiler and the gdb debugger with the advantages of a GUI-based environment that automates all standard actions and allows the developer to concentrate on the work of writing software instead of managing command-line tools. It also offers direct and quick access to source files and docu- mentation. KDevelop primarily aims to provide the best means to rapidly set up and write KDE software; it also supports extended features such as GUI designing and translation in con- junction with other tools available especially for KDE development. The KDevelop IDE itself is published under the GNU Public License (GPL), like KDE, and is therefore publicly avail- able at no cost—including its source code—and it may be used both for free and for commer- cial development. -
Feature Tracking & Visualization in 'Visit'
FEATURE TRACKING & VISUALIZATION IN ‘VISIT’ By NAVEEN ATMAKURI A thesis submitted to the Graduate School—New Brunswick Rutgers, The State University of New Jersey in partial fulfillment of the requirements for the degree of Master of Science Graduate Program in Electrical and Computer Engineering written under the direction of Professor Deborah Silver and approved by New Brunswick, New Jersey October 2010 ABSTRACT OF THE THESIS Feature Tracking & Visualization in VisIt by Naveen Atmakuri Thesis Director: Professor Deborah Silver The study and analysis of large experimental or simulation datasets in the field of science and engineering pose a great challenge to the scientists. These complex simulations generate data varying over a period of time. Scientists need to glean large quantities of time-varying data to understand the underlying physical phenomenon. This is where visualization tools can assist scientists in their quest for analysis and understanding of scientific data. Feature Tracking, developed at Visualization & Graphics Lab (Vizlab), Rutgers University, is one such visualization tool. Feature Tracking is an automated process to isolate and analyze certain regions or objects of interest, called ‘features’ and to highlight their underlying physical processes in time-varying 3D datasets. In this thesis, we present a methodology and documentation on how to port ‘Feature Tracking’ into VisIt. VisIt is a freely available open-source visualization software package that has a rich feature set for visualizing and analyzing data. VisIt can successfully handle massive data quantities in the range of tera-scale. The technology covered by this thesis is an improvement over the previous work that focused on Feature Tracking in VisIt. -
Python for Economists Alex Bell
Python for Economists Alex Bell [email protected] http://xkcd.com/353 This version: October 2016. If you have not already done so, download the files for the exercises here. Contents 1 Introduction to Python 3 1.1 Getting Set-Up................................................. 3 1.2 Syntax and Basic Data Structures...................................... 3 1.2.1 Variables: What Stata Calls Macros ................................ 4 1.2.2 Lists.................................................. 5 1.2.3 Functions ............................................... 6 1.2.4 Statements............................................... 7 1.2.5 Truth Value Testing ......................................... 8 1.3 Advanced Data Structures .......................................... 10 1.3.1 Tuples................................................. 10 1.3.2 Sets .................................................. 11 1.3.3 Dictionaries (also known as hash maps) .............................. 11 1.3.4 Casting and a Recap of Data Types................................. 12 1.4 String Operators and Regular Expressions ................................. 13 1.4.1 Regular Expression Syntax...................................... 14 1.4.2 Regular Expression Methods..................................... 16 1.4.3 Grouping RE's ............................................ 18 1.4.4 Assertions: Non-Capturing Groups................................. 19 1.4.5 Portability of REs (REs in Stata).................................. 20 1.5 Working with the Operating System.................................... -
KNIME Big Data Workshop
KNIME Big Data Workshop Björn Lohrmann KNIME © 2018 KNIME.com AG. All Rights Reserved. Variety, Velocity, Volume • Variety: – Integrating heterogeneous data… – ... and tools • Velocity: – Real time scoring of millions of records/sec – Continuous data streams – Distributed computation • Volume: – From small files... – ...to distributed data repositories – Moving computation to the data © 2018 KNIME.com AG. All Rights Reserved. 2 2 Variety © 2018 KNIME.com AG. All Rights Reserved. 3 The KNIME Analytics Platform: Open for Every Data, Tool, and User Data Scientist Business Analyst KNIME Analytics Platform External Native External Data Data Access, Analysis, and Legacy Connectors Visualization, and Reporting Tools Distributed / Cloud Execution © 2018 KNIME.com AG. All Rights Reserved. 4 Data Integration © 2018 KNIME.com AG. All Rights Reserved. 5 Integrating R and Python © 2018 KNIME.com AG. All Rights Reserved. 6 Modular Integrations © 2018 KNIME.com AG. All Rights Reserved. 7 Other Programming/Scripting Integrations © 2018 KNIME.com AG. All Rights Reserved. 8 Velocity © 2018 KNIME.com AG. All Rights Reserved. 9 Velocity • High Demand Scoring/Prediction: – Scoring using KNIME Server – Scoring with the KNIME Managed Scoring Service • Continuous Data Streams – Streaming in KNIME © 2018 KNIME.com AG. All Rights Reserved. 10 What is High Demand Scoring? • I have a workflow that takes data, applies an algorithm/model and returns a prediction. • I need to deploy that to hundreds or thousands of end users • I need to update the model/workflow periodically © 2018 KNIME.com AG. All Rights Reserved. 11 How to make a scoring workflow • Use JSON Input/Output nodes • Put workflow on KNIME Server -> REST endpoint for scoring © 2018 KNIME.com AG. -
Text Mining Course for KNIME Analytics Platform
Text Mining Course for KNIME Analytics Platform KNIME AG Copyright © 2018 KNIME AG Table of Contents 1. The Open Analytics Platform 2. The Text Processing Extension 3. Importing Text 4. Enrichment 5. Preprocessing 6. Transformation 7. Classification 8. Visualization 9. Clustering 10. Supplementary Workflows Licensed under a Creative Commons Attribution- ® Copyright © 2018 KNIME AG 2 Noncommercial-Share Alike license 1 https://creativecommons.org/licenses/by-nc-sa/4.0/ Overview KNIME Analytics Platform Licensed under a Creative Commons Attribution- ® Copyright © 2018 KNIME AG 3 Noncommercial-Share Alike license 1 https://creativecommons.org/licenses/by-nc-sa/4.0/ What is KNIME Analytics Platform? • A tool for data analysis, manipulation, visualization, and reporting • Based on the graphical programming paradigm • Provides a diverse array of extensions: • Text Mining • Network Mining • Cheminformatics • Many integrations, such as Java, R, Python, Weka, H2O, etc. Licensed under a Creative Commons Attribution- ® Copyright © 2018 KNIME AG 4 Noncommercial-Share Alike license 2 https://creativecommons.org/licenses/by-nc-sa/4.0/ Visual KNIME Workflows NODES perform tasks on data Not Configured Configured Outputs Inputs Executed Status Error Nodes are combined to create WORKFLOWS Licensed under a Creative Commons Attribution- ® Copyright © 2018 KNIME AG 5 Noncommercial-Share Alike license 3 https://creativecommons.org/licenses/by-nc-sa/4.0/ Data Access • Databases • MySQL, MS SQL Server, PostgreSQL • any JDBC (Oracle, DB2, …) • Files • CSV, txt -
Red Hat Enterprise Linux 6 Developer Guide
Red Hat Enterprise Linux 6 Developer Guide An introduction to application development tools in Red Hat Enterprise Linux 6 Dave Brolley William Cohen Roland Grunberg Aldy Hernandez Karsten Hopp Jakub Jelinek Developer Guide Jeff Johnston Benjamin Kosnik Aleksander Kurtakov Chris Moller Phil Muldoon Andrew Overholt Charley Wang Kent Sebastian Red Hat Enterprise Linux 6 Developer Guide An introduction to application development tools in Red Hat Enterprise Linux 6 Edition 0 Author Dave Brolley [email protected] Author William Cohen [email protected] Author Roland Grunberg [email protected] Author Aldy Hernandez [email protected] Author Karsten Hopp [email protected] Author Jakub Jelinek [email protected] Author Jeff Johnston [email protected] Author Benjamin Kosnik [email protected] Author Aleksander Kurtakov [email protected] Author Chris Moller [email protected] Author Phil Muldoon [email protected] Author Andrew Overholt [email protected] Author Charley Wang [email protected] Author Kent Sebastian [email protected] Editor Don Domingo [email protected] Editor Jacquelynn East [email protected] Copyright © 2010 Red Hat, Inc. and others. The text of and illustrations in this document are licensed by Red Hat under a Creative Commons Attribution–Share Alike 3.0 Unported license ("CC-BY-SA"). An explanation of CC-BY-SA is available at http://creativecommons.org/licenses/by-sa/3.0/. In accordance with CC-BY-SA, if you distribute this document or an adaptation of it, you must provide the URL for the original version. Red Hat, as the licensor of this document, waives the right to enforce, and agrees not to assert, Section 4d of CC-BY-SA to the fullest extent permitted by applicable law. -
Application Note: QP/C MISRA-C:2004 Compliance Matrix
QP/C MISRA Compliance Matrix Application Note QP/C™ MISRA-C:2004 Compliance Matrix Document Revision D February 2013 Copyright © Quantum Leaps, LLC [email protected] www.state-machine.com MISRA”, “MISRA C”, and the triangle logo are registered trademarks of MISRA Limited Table of Contents 1 Introduction ..................................................................................................................................................... 1 1.1 About MISRA-C:2004 ............................................................................................................................... 1 1.2 About QP™ ............................................................................................................................................... 1 2 Checking MISRA Compliance with PC-Lint/FlexeLint .................................................................................. 2 2.1 Structure of PC-Lint Options for QP/C ...................................................................................................... 2 2.2 QS Software Tracing and the Spy (Q_SPY) Configuration ....................................................................... 6 2.3 Checking MISRA Compliance of a QP/C Source Code ............................................................................ 6 2.4 Checking MISRA Compliance of a QP/C Application Code ...................................................................... 7 2.5 Testing Rule Coverage Against the MISRA-C Exemplar Suite ................................................................ -
C/C++ Programming with Qt 5.12.6 and Opencv 4.2.0
C/C++ programming with Qt 5.12.6 and OpenCV 4.2.0 Preparation of the computer • Download http://download.qt.io/archive/qt/5.12/5.12.6/qt-opensource-windows- x86-5.12.6.exe and http://www.ensta-bretagne.fr/lebars/Share/OpenCV4.2.0.zip (contains OpenCV with extra modules built for Visual Studio 2015, 2017, 2019, MinGW Qt 5.12.6 x86, MinGW 8 x64), run Qt installer and select Qt\Qt 5.12.6\MinGW 7.3.0 32 bit and Qt\Tools\MinGW 7.3.0 32 bit options and extract OpenCV4.2.0.zip in C:\ (check that the extraction did not create an additional parent folder (we need to get only C:\OpenCV4.2.0\ instead of C:\OpenCV4.2.0\OpenCV4.2.0\), right-click and choose Run as administrator if needed). For Linux or macOS, additional/different steps might be necessary depending on the specific versions (and the provided .pro might need to be tweaked), see https://www.ensta-bretagne.fr/lebars/Share/setup_opencv_Ubuntu.pdf ; corresponding OpenCV sources : https://github.com/opencv/opencv/archive/4.2.0.zip and https://github.com/opencv/opencv_contrib/archive/4.2.0.zip ; Qt Linux 64 bit : https://download.qt.io/archive/qt/5.12/5.12.6/qt-opensource-linux-x64-5.12.6.run (for Ubuntu you can try sudo apt install qtcreator qt5-default build-essential but the version will probably not be the same); Qt macOS : https://download.qt.io/archive/qt/5.12/5.12.6/qt-opensource-mac-x64-5.12.6.dmg . -
Python Qt Tutorial Documentation Release 0.0
Python Qt tutorial Documentation Release 0.0 Thomas P. Robitaille Jun 11, 2018 Contents 1 Installing 3 2 Part 1 - Hello, World! 5 3 Part 2 - Buttons and events 7 4 Part 3 - Laying out widgets 9 5 Part 4 - Dynamically updating widgets 13 i ii Python Qt tutorial Documentation, Release 0.0 This is a short tutorial on using Qt from Python. There are two main versions of Qt in use (Qt4 and Qt5) and several Python libraries to use Qt from Python (PyQt and PySide), but rather than picking one of these, this tutorial makes use of the QtPy package which provides a way to use whatever Python Qt package is available. This is not meant to be a completely exhaustive tutorial but just a place to start if you’ve never done Qt development before, and it will be expanded over time. Contents 1 Python Qt tutorial Documentation, Release 0.0 2 Contents CHAPTER 1 Installing 1.1 conda If you use conda to manage your Python environment (for example as part of Anaconda or Miniconda), you can easily install Qt, PyQt5, and QtPy (a common interface to all Python Qt bindings) using: conda install pyqt qtpy 1.2 pip If you don’t make use of conda, an easy way to install Qt, PyQt5, and QtPy is to do: pip install pyqt5 qtpy 3 Python Qt tutorial Documentation, Release 0.0 4 Chapter 1. Installing CHAPTER 2 Part 1 - Hello, World! To start off, we need to create a QApplication object, which represents the overall application: from qtpy.QtWidgets import QApplication app= QApplication([]) You will always need to ensure that a QApplication object exists, otherwise your Python script will terminate with an error if you try and use any other Qt objects. -
Qt Creator Reference Card Mode File Editor Layout Editor Code Editor
sidebar opened files symbol overview Menu Qt Creator reference card Welcome (Ctrl+1) Edit Mode File (Ctrl+2) Debug Ctrl+1 activate welcome mode Ctrl+N create new file (Ctrl+3) Ctrl+2 activate edit mode Ctrl+Shift+N create new project Projects (Ctrl+4) Ctrl+3 activate debug mode Ctrl+O open file Help Ctrl+4 activate projects mode Ctrl+S save current document (Ctrl+5) Ctrl+5 activate help mode Ctrl+Shift+S save all documents Output Ctrl+6 activate output mode Ctrl+W close current document (Ctrl+6) Esc go back to code editor Ctrl+Shift+W close all documents Esc,Esc close all secondary windows in editor mode Document navigation Editor layout Ctrl+Tab previous document in history Ctrl+E,2 split run(Ctrl+R) Ctrl+Shift+Tab next document in history Ctrl+E,3 split side by side debug(F5) Alt+← go back Ctrl+E,0 remove current split build all Alt+→ go forward Ctrl+E,1 remove all splits (Ctrl+Shift+B) Ctrl+E,O go to other split (Alt+0) quick open (Ctrl+K) (Alt+1) (Alt+2) (Alt+3) (Alt+4) Quick open Editor Code editor Build & debug Ctrl+K activate locator Ctrl+Z undo Ctrl+I auto-indent selection Ctrl+B build current project <text> files in any project Ctrl+Shift+Z redo Ctrl+/ (un)comment selection Ctrl+Shift+B build all projects l <number> line in current document Ctrl+X cut Ctrl+< collapse block Ctrl+R run project m<text> methods Ctrl+C copy Ctrl+> expand block F5 start debugging c <text> classes Ctrl+V paste Ctrl+[ go to block start Shift+F5 stop debugger : <text> classes and methods Ctrl+A select all Ctrl+] go to block end Ctrl+Shift+F5 reset debugger -
Europass Curriculum Vitae
Europass Curriculum Vitae Personal Information Surname(s) / First name(s) Moreira da Mota, Eduardo Address(es) Rua Padre António Joaquim Freire 4, 4580-878 Bitarães, Portugal Telephone(s) Mobile #1: +351 910 565 777 / Mobile #2: +49 171 101 4297 Email(s) [email protected] Nationality(-ies) Portuguese Date of Birth 24th November 1988 Gender Male Desired employment/ Electrical and Computer Science Engineer Occupational field Work experience Dates Since June 2012 Occupation or position held Research Scholarship Main activities and Development of software in C/C++ for vehicular networks responsibilities Name and address of employer IT Porto – Rua Dr. Roberto Frias s/n, 4200-465 Porto Portugal Type of business or sector Research & Development Dates October 2011 – May 2012 Occupation or position held Software Engineer Main activities and Development of software/hardware in C/C++, Labview and Eagle responsibilities Name and address of employer Wolf-Messtechnik GmbH – Industriestrasse 6, 91126 Schwabach, Germany Type of business or sector Software/Hardware Development for Measuring and Automation Systems Dates February 2011 – July 2011 Occupation or position held Intern Main activities and Master Thesis development, entitled Motion and Teaching of a NAO Robot. responsibilities Research & Development. Level in national or international 18 out of 20 classification Name and address of employer INESC TEC – Rua Dr. Roberto Frias 378, 4200-465 Porto Portugal Type of business or sector Research & Development Education and training Dates September -
Lecture 1: September 8 Lecturer: Emery Berger Scribes: Bruno Silva, Gene Novark, Jim Partan
CMPSCI 377 Operating Systems Fall 2009 Lecture 1: September 8 Lecturer: Emery Berger Scribes: Bruno Silva, Gene Novark, Jim Partan 1.1 General information This class is taught by Prof. Emery Berger in ELAB 323, every Tuesday and Thursday from 9:30am to 11:00am. ELAB is the older brick building next to the computer science building. For additional information related to the course (syllabus, projects, etc), please visit www.cs.umass.edu/~emery. Although the class name is Operating Systems, this course will deal mostly with large-scale computer systems. The main question to be studied is how to build correct, reliable and high performance computer systems. In order to answer this question, problems such as memory management, concurrency, scheduling, etc, will be studied. 1.1.1 Getting help Prof. Berger is available by appointment in his office (CS344). The TA's office hours are Mondays and Wednesdays from 4:00 PM to 5:00 PM in the Edlab (LGRT 223, 225). In addition to office hours, Discussion Sections will be led by the TA on Wednesdays from 12:20pm to 1:10pm in CMPSCI 142. Attendance is very important since sample test problems will be discussed, and the main concepts presented during the last couple of classes will be reinforced. Also, students looking for help can access the course's newsgroup (look for the link at Prof. Berger's website). Lecture notes will also be available. Although this class requires no textbook, interested students might look for classics of the area, such as Operating System Concepts (Silberschatz et all), 7th Edition.