Visual Programming Lectures using Visual Studio 2015 C# Windows Form Application
Lecturer: Saman M. Almufti / Kurdistan Region, Nawroz University
facebook: https://www.facebook.com/saman.malmufti
This tutorial provides you a step-by-step guide on how to create and manage your STPA safety analysis project in XSTAMPP tool support, edit the STPA project data, export it in different formats, save and delete.
www.xstampp.de
This document discusses three aspects of software evaluation: fit for purpose, use of computational constructs, and robustness. It evaluates whether the software meets client requirements and specifications, makes efficient use of constructs like loops and arrays, and can handle unexpected or incorrect input through testing a wide range of normal, exceptional, and extreme data values.
This document discusses how to create custom validation rules in ProdigyView. There are three main ways to add custom validation: 1) Using the check() method to check values against built-in rules, 2) Creating functions to define custom validation logic, and 3) Using regular expressions with preg_match. The document provides code examples for each approach and recommends exploring the ProdigyView API documentation and tutorials for more information on validation.
The document discusses acceptance testing using Fitnesse, including:
- Table-based acceptance testing using Fit tables and fixtures to link tests to the system under test.
- Core fixtures in Fit like ColumnFixture, ActionFixture, and RowFixture.
- Using FitNesse which combines Fit with a wiki for writing tests and requirements.
- Key elements of Fit tables, fixtures, and how the test runner executes and reports results.
Calibration and validation model (Simulation )Rajan Kandel
This document discusses calibration and validation of models. Calibration is an iterative process of comparing a model to the real system and adjusting model parameters to better match observed real data. Validation checks that the model's output matches real data and ensures the model is useful. Key aspects of calibration discussed include comparing model output to measured data at different time granularities, and additional data needs. Validation ensures the model assumptions and programming are sound. Steps in validation include building a model with face validity, validating assumptions, and comparing model input-output transformations to the real system.
This tutorial provides you a step-by-step guide on how to create and manage your STPA safety analysis project in XSTAMPP tool support, edit the STPA project data, export it in different formats, save and delete.
www.xstampp.de
This document discusses three aspects of software evaluation: fit for purpose, use of computational constructs, and robustness. It evaluates whether the software meets client requirements and specifications, makes efficient use of constructs like loops and arrays, and can handle unexpected or incorrect input through testing a wide range of normal, exceptional, and extreme data values.
This document discusses how to create custom validation rules in ProdigyView. There are three main ways to add custom validation: 1) Using the check() method to check values against built-in rules, 2) Creating functions to define custom validation logic, and 3) Using regular expressions with preg_match. The document provides code examples for each approach and recommends exploring the ProdigyView API documentation and tutorials for more information on validation.
The document discusses acceptance testing using Fitnesse, including:
- Table-based acceptance testing using Fit tables and fixtures to link tests to the system under test.
- Core fixtures in Fit like ColumnFixture, ActionFixture, and RowFixture.
- Using FitNesse which combines Fit with a wiki for writing tests and requirements.
- Key elements of Fit tables, fixtures, and how the test runner executes and reports results.
Calibration and validation model (Simulation )Rajan Kandel
This document discusses calibration and validation of models. Calibration is an iterative process of comparing a model to the real system and adjusting model parameters to better match observed real data. Validation checks that the model's output matches real data and ensures the model is useful. Key aspects of calibration discussed include comparing model output to measured data at different time granularities, and additional data needs. Validation ensures the model assumptions and programming are sound. Steps in validation include building a model with face validity, validating assumptions, and comparing model input-output transformations to the real system.
ETL Validator gives quick and easy way to create test cases for mapping and comparing data between Input and Output data sources. Here, we will create a test case that will compare the data between a Source and Target table.
This document discusses unit testing and JUnit. It defines unit testing as testing the smallest testable parts of an application, like functions and classes. JUnit is introduced as a testing framework for Java that allows writing unit tests using annotations like @Test. Tests can make assertions about expected results using methods like assertEquals(). The document also covers integration testing, which tests integrated components, and mocking frameworks like Mockito, which allow mocking dependencies to isolate units for testing.
The document discusses how to edit causal factors and scenarios in an STPA project. It explains that the control structure diagram parts will appear in the first column of the causal factors table, and that causal factors can be written generally or individually for each unsafe control action. It also notes that the latest version of the software allows safety analysts to edit causal scenarios by checking or unchecking causal scenarios in the project settings menu.
The document provides instructions for an assignment to design a program that calculates the sum, smallest value, and largest value of a list of numbers entered by a user. The program should prompt the user to enter a number or end the program. It will continuously update the sum, minimum, and maximum. The assignment requires an analysis of the problem, program design including flowcharts and pseudocode, and sample test data.
Coverage analysis measures how much of a program's code is executed during testing. There are three main types of coverage: statement coverage measures the percentage of executable lines used, branch coverage measures the percentage of possible code paths taken, and condition coverage measures that all conditions and combinations of conditions are used. Tools like Codecov and the Python coverage package can be used to instrument code and generate coverage reports that help testers find dead or unused code.
ETL Validator Usecase - Data Profiling and ComparisonDatagaps Inc
ETL Validator gives quick and easy way to create test cases for profiling and comparing source & target data sources. Here, we will create a test case that will profile the data with various aggregates.
Query parameterization in ETL ValidatorDatagaps Inc
ETL Validator is a data testing automation platform that leverages reusable query parameters. It allows users to create parameters that can be used in building queries and modifying parameters values without having to edit the actual queries. Parameters can be created, reused across multiple queries, and modified either in the parameter tab or at the test plan level for flexibility. This streamlines data testing by avoiding repetitive query edits and enabling dynamic testing through parameterization.
Getting from PsycINFO to an Unpublished Testthis_shanti
Searching for append* in the Tests & Measures field of PsycINFO will return results that have the full text of an instrument included in an appendix. The detailed record page will list any instruments appended to the article, and viewing the full text may allow you to see the appended instrument, as well as information on how the instrument was developed and how to request permission to reuse it.
Peering into the white box: A testers approach to Code ReviewsAlan Page
The document discusses having testers perform code reviews using a checklist approach. It summarizes an experiment where testers on four teams reviewed code using a common checklist. The results showed moderate engagement from teams, an increase in code review skills, and successful "bug hunting". Lessons learned included that code reviewing is different than other testing, a need to balance it with other activities, the usefulness of the checklist, and the importance of developer involvement. Future plans include continuing with select team members, forming an "inspection SWAT" team, and tracking review comments and discussions.
This document provides information about FitNesse, a software collaboration and testing tool. It discusses acceptance testing and different types. It then describes what FitNesse is, how it works as a wiki and with different programming languages. The document outlines FitNesse's architecture using wiki pages, a testing engine, test fixtures, and the system under test. It also discusses the FIT and Slim testing engines and how fixtures interface between FitNesse tables and the system being tested.
BI-Validator Usecase - Stress Test PlanDatagaps Inc
This document describes how to use the Stress Test Plan feature in BI Validator to load test a BI environment. The Stress Test Plan allows simulating a varied number of parallel users without scripting. Key steps include naming the test plan, selecting reports and dashboards to load test, configuring settings like number of users and runtimes, running the test, and viewing results in graphs and reports. Load testing with BI Validator helps determine if a BI configuration and hardware can perform well under expected loads.
ETL Validator Usecase - Transformation logic in input data sourceDatagaps Inc
This document discusses using ETL Validator to test derived fields in target data by using transformation logic defined in source data. It provides step-by-step instructions to create a test case validating a 'cust_level' field derived in target based on logic in source. The test case executes the queries, identifies differences between target and transformed source data, and provides results that can be exported or viewed as a report. ETL Validator allows comprehensive testing of ETL processes through automation, repeatability, and validation of data across sources and targets.
FitNesse is a software collaboration tool that allows customers, testers, and programmers to define acceptance tests using simple HTML tables. These tests can then be automatically executed to compare expectations to actual results. There are different types of tables that can be used for various testing purposes, such as decision tables for inputting test data or script tables for simulating user interactions. Fixtures provide the link between the test tables and the system being tested by calling the appropriate methods. This allows teams to collaborate on testing the correct functionality early in development.
ETL Validator Usecase - Checking for DuplicatesDatagaps Inc
ETL Validator gives quick and easy way to create test cases for identifying Duplicates in data sources. Here, we will create a test case that will identify duplicates of First Name + Last Name.
In this article, we will talk about test cases and test scenarios. We will see their definitions and try to understand the differences between the two. These two are a part of software testing.
ETL Validator Usecase - Validating Measures, Counts with VarianceDatagaps Inc
ETL Validator gives quick and easy way to create test cases for comparing counts and measures of source & target data sources. A variance can be specified too. Here, we will create a Checksum test case that will compare measures and counts. The same functionality is also implemented in Component test case using 'Measure Validation'.
ETL Validator gives quick and easy way to compare Metadata changes between source & target data sources OR changes occurring within the same Database at different points of time. Here, we will create a test case with the Metadata Compare Tool.
This document discusses software quality assurance test cases. It defines a test case as a set of conditions or variables to determine if an application works correctly. It outlines the typical structure of a test case, including sections for information, activity, results, and provides an example test case template. The document encourages deriving test cases from a specification using the template to design them.
In ArcGIS, a data model describes the thematic layers used in the applications (for example, hamburger stands, roads, and counties); their spatial representation (for example, point, line, or polygon); their attributes; their integrity rules and relationships (for example, counties must nest within states).
The document provides information on the C programming language. It discusses that C was developed by Dennis Ritchie at Bell Labs in 1972 and is a general purpose programming language well suited for business and scientific applications. It describes the basic structure of a C program including sections for links, definitions, variables, functions, and input/output statements. It also covers various C language concepts like data types, operators, decision making statements, looping statements, functions, and more.
The document discusses header files and C preprocessors. It defines header files as files containing C declarations and macro definitions that can be shared between source files by including them using the #include directive. Common header files like stdio.h, conio.h, and math.h are given as examples. Preprocessors are described as a macro processor that transforms the program before compilation by handling preprocessor directives like #define. It allows defining macros which are abbreviations for longer code constructs. The document also provides examples of preprocessor directives like #include and #define.
ETL Validator gives quick and easy way to create test cases for mapping and comparing data between Input and Output data sources. Here, we will create a test case that will compare the data between a Source and Target table.
This document discusses unit testing and JUnit. It defines unit testing as testing the smallest testable parts of an application, like functions and classes. JUnit is introduced as a testing framework for Java that allows writing unit tests using annotations like @Test. Tests can make assertions about expected results using methods like assertEquals(). The document also covers integration testing, which tests integrated components, and mocking frameworks like Mockito, which allow mocking dependencies to isolate units for testing.
The document discusses how to edit causal factors and scenarios in an STPA project. It explains that the control structure diagram parts will appear in the first column of the causal factors table, and that causal factors can be written generally or individually for each unsafe control action. It also notes that the latest version of the software allows safety analysts to edit causal scenarios by checking or unchecking causal scenarios in the project settings menu.
The document provides instructions for an assignment to design a program that calculates the sum, smallest value, and largest value of a list of numbers entered by a user. The program should prompt the user to enter a number or end the program. It will continuously update the sum, minimum, and maximum. The assignment requires an analysis of the problem, program design including flowcharts and pseudocode, and sample test data.
Coverage analysis measures how much of a program's code is executed during testing. There are three main types of coverage: statement coverage measures the percentage of executable lines used, branch coverage measures the percentage of possible code paths taken, and condition coverage measures that all conditions and combinations of conditions are used. Tools like Codecov and the Python coverage package can be used to instrument code and generate coverage reports that help testers find dead or unused code.
ETL Validator Usecase - Data Profiling and ComparisonDatagaps Inc
ETL Validator gives quick and easy way to create test cases for profiling and comparing source & target data sources. Here, we will create a test case that will profile the data with various aggregates.
Query parameterization in ETL ValidatorDatagaps Inc
ETL Validator is a data testing automation platform that leverages reusable query parameters. It allows users to create parameters that can be used in building queries and modifying parameters values without having to edit the actual queries. Parameters can be created, reused across multiple queries, and modified either in the parameter tab or at the test plan level for flexibility. This streamlines data testing by avoiding repetitive query edits and enabling dynamic testing through parameterization.
Getting from PsycINFO to an Unpublished Testthis_shanti
Searching for append* in the Tests & Measures field of PsycINFO will return results that have the full text of an instrument included in an appendix. The detailed record page will list any instruments appended to the article, and viewing the full text may allow you to see the appended instrument, as well as information on how the instrument was developed and how to request permission to reuse it.
Peering into the white box: A testers approach to Code ReviewsAlan Page
The document discusses having testers perform code reviews using a checklist approach. It summarizes an experiment where testers on four teams reviewed code using a common checklist. The results showed moderate engagement from teams, an increase in code review skills, and successful "bug hunting". Lessons learned included that code reviewing is different than other testing, a need to balance it with other activities, the usefulness of the checklist, and the importance of developer involvement. Future plans include continuing with select team members, forming an "inspection SWAT" team, and tracking review comments and discussions.
This document provides information about FitNesse, a software collaboration and testing tool. It discusses acceptance testing and different types. It then describes what FitNesse is, how it works as a wiki and with different programming languages. The document outlines FitNesse's architecture using wiki pages, a testing engine, test fixtures, and the system under test. It also discusses the FIT and Slim testing engines and how fixtures interface between FitNesse tables and the system being tested.
BI-Validator Usecase - Stress Test PlanDatagaps Inc
This document describes how to use the Stress Test Plan feature in BI Validator to load test a BI environment. The Stress Test Plan allows simulating a varied number of parallel users without scripting. Key steps include naming the test plan, selecting reports and dashboards to load test, configuring settings like number of users and runtimes, running the test, and viewing results in graphs and reports. Load testing with BI Validator helps determine if a BI configuration and hardware can perform well under expected loads.
ETL Validator Usecase - Transformation logic in input data sourceDatagaps Inc
This document discusses using ETL Validator to test derived fields in target data by using transformation logic defined in source data. It provides step-by-step instructions to create a test case validating a 'cust_level' field derived in target based on logic in source. The test case executes the queries, identifies differences between target and transformed source data, and provides results that can be exported or viewed as a report. ETL Validator allows comprehensive testing of ETL processes through automation, repeatability, and validation of data across sources and targets.
FitNesse is a software collaboration tool that allows customers, testers, and programmers to define acceptance tests using simple HTML tables. These tests can then be automatically executed to compare expectations to actual results. There are different types of tables that can be used for various testing purposes, such as decision tables for inputting test data or script tables for simulating user interactions. Fixtures provide the link between the test tables and the system being tested by calling the appropriate methods. This allows teams to collaborate on testing the correct functionality early in development.
ETL Validator Usecase - Checking for DuplicatesDatagaps Inc
ETL Validator gives quick and easy way to create test cases for identifying Duplicates in data sources. Here, we will create a test case that will identify duplicates of First Name + Last Name.
In this article, we will talk about test cases and test scenarios. We will see their definitions and try to understand the differences between the two. These two are a part of software testing.
ETL Validator Usecase - Validating Measures, Counts with VarianceDatagaps Inc
ETL Validator gives quick and easy way to create test cases for comparing counts and measures of source & target data sources. A variance can be specified too. Here, we will create a Checksum test case that will compare measures and counts. The same functionality is also implemented in Component test case using 'Measure Validation'.
ETL Validator gives quick and easy way to compare Metadata changes between source & target data sources OR changes occurring within the same Database at different points of time. Here, we will create a test case with the Metadata Compare Tool.
This document discusses software quality assurance test cases. It defines a test case as a set of conditions or variables to determine if an application works correctly. It outlines the typical structure of a test case, including sections for information, activity, results, and provides an example test case template. The document encourages deriving test cases from a specification using the template to design them.
In ArcGIS, a data model describes the thematic layers used in the applications (for example, hamburger stands, roads, and counties); their spatial representation (for example, point, line, or polygon); their attributes; their integrity rules and relationships (for example, counties must nest within states).
The document provides information on the C programming language. It discusses that C was developed by Dennis Ritchie at Bell Labs in 1972 and is a general purpose programming language well suited for business and scientific applications. It describes the basic structure of a C program including sections for links, definitions, variables, functions, and input/output statements. It also covers various C language concepts like data types, operators, decision making statements, looping statements, functions, and more.
The document discusses header files and C preprocessors. It defines header files as files containing C declarations and macro definitions that can be shared between source files by including them using the #include directive. Common header files like stdio.h, conio.h, and math.h are given as examples. Preprocessors are described as a macro processor that transforms the program before compilation by handling preprocessor directives like #define. It allows defining macros which are abbreviations for longer code constructs. The document also provides examples of preprocessor directives like #include and #define.
This document provides an overview of key concepts in C++ programming including #include directives, inputs/outputs, variables, data types, selection, iteration, data structures, and functions. It explains each concept in 3 sentences or less and provides links to example programs. The tutorial covers the basics of coding in C++ like variable declaration, assignment, logical/arithmetic operators, and using functions with parameters and return values. It emphasizes setting up a development environment and includes examples to demonstrate each programming concept discussed.
The document discusses new and improved debugging features in Visual Studio 2015, including easier breakpoint configuration with an inline toolbar, simplified context menus, and settings windows that appear as peek windows. It also covers breakpoint conditions that allow hitting a breakpoint based on the number of hits or a conditional expression. Breakpoint actions allow logging messages to the output window. Additionally, the improved Error List in VS 2015 displays all errors at once, allows filtering by severity and error code, and links error codes to documentation.
C# ProgrammingInstructions are as follows.I need to use the Cons.pdffaxteldelhi
C# Programming
Instructions are as follows.
I need to use the Console.ReadKey(); and Console.Clear(); in the code.
The program should take the input and then output the code similar to the way I have it written in
the code at the end of the program. The issue I have is understanding how to use
Console.ReadKey(); instead of Readline(); and then how to call the results from the name and
quote methods to display in the DisplayResults method.
Here is what I have so far, though Im sure some of it is wrong.
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
namespace Chapter3Program1
{
/*
* Program: Favorite Saying
* Programmer: Laura Sturgill
* Purpose: To allow user to enter their name and favorite saying resulting in an output with
this info.
*
* */
class Ch3Program1
{
static void Main(string[] args)
{
string name, quote;
name = GetName();
quote = GetQuote();
DisplayResults();
}
static string GetName()
{
Console.WriteLine(\"Please enter your name:\");
string name = Console.ReadLine();
return name;
}
static string GetQuote()
{
Console.WriteLine(\"Please enter your favorite quote:\");
string quote = Console.ReadLine();
return quote;
}
static void DisplayResults()
{
Console.Clear();
Console.WriteLine(\"><><><><><><><><><><><><><><><><><><><><\");
Console.WriteLine( GetName +\"\'s Favorite Quote\");
Console.WriteLine(GetQuote);
Console.WriteLine(\"><><><><><><><><><><><><><><><><><><><><\");
}
}
}
Solution
First thing, replacing ReadLine() by the ReadKey() ...
Here keys entered by the user can be read by the program using this ReadKey() function since
the user enters data at console, we need to use Console.ReadKey() function which will do same
as the ReadLine()
Console.ReadKey().Key returns the current entered key by the user
Now to make a call to the name and quote method to display results in the DisplayResults()
method, there are few ways to make it happen
Variables in the main method which stores the return values from the name and quote method are
sent as attributes to the DisplayResults() method hence it can display these values......
This document discusses decision making and conditional logic in Microsoft Visual Basic programs. It explains how comparisons return true or false values and how conditional operators are used to make comparisons. If statements allow code to execute conditionally based on a true or false evaluation. If-else statements provide a two-path decision structure. Flowcharts help visualize program logic and decision points. Checkboxes store true/false values to represent yes/no selections. Logical operators combine comparisons and logical operators are evaluated in a specific order.
The document discusses selection structures in C++ programming. It defines single-alternative and dual-alternative selection structures and explains how to represent them using pseudocode, flowcharts, and the if/else statement. It covers comparison operators that can be used in selection conditions like <, >, ==, and !=. An example program demonstrates how to use an if statement to swap two numeric values if the first is greater than the second.
MCS,BCS-7(A,B) Visual programming Syllabus for Final exams @ ISPAli Shah
Exception handling in C# uses four keywords: try, catch, finally, and throw. The try block identifies code that might cause exceptions. The catch block handles exceptions, while finally ensures code is always executed. Exceptions are represented by classes derived from System.Exception, and common exceptions include NullReferenceException and DivideByZeroException. ADO.NET provides objects like SqlConnection and SqlCommand to connect C# applications to SQL Server databases using connection strings. Data can be queried, inserted, and read from databases through these objects.
The document provides an introduction to the C programming language. It discusses the basic components of a C program including documentation, header files, definitions, global declarations, the main function, and subprograms. It also covers various C programming concepts such as data types, variables, constants, operators, and sample programs. The document is intended to teach students and professionals the fundamentals of C programming.
C++ programming language basic to advance levelsajjad ali khan
C/C++ is a procedural programming language developed in the 1970s. C++ builds on C and adds object-oriented programming capabilities. Some key differences between C and C++ include C++ supporting classes, function overloading, and operator overloading. C++ is commonly used to create operating systems, compilers, databases, games, and other application software. The document then discusses C++ history, creators, uses, data types, variables, operators, control flow statements like if/else and loops, arrays, and multi-dimensional arrays. It provides examples of C++ code and basics of the C++ programming language.
The document discusses concepts related to Visual Basic programming, including:
- It defines key terms like programs, programmers, programming languages, and controls.
- It describes the Visual Basic environment and windows like the toolbox, properties window, and project explorer.
- It explains data types in Visual Basic like integers, strings, and Boolean, and how to declare and assign variables.
- It provides examples of mathematical, relational, and conditional operators used in Visual Basic code.
The document provides an overview of fundamental C# programming concepts including:
1) C# syntax is similar to C/C++ and Java with identifiers that can begin with letters or underscores but cannot be keywords. There are different capitalization styles for identifiers.
2) Types in C# include value types that contain data directly and reference types that contain a reference to an object.
3) Common programming tasks in C# include assigning values, making comparisons, selectively executing code blocks with if/else and switch statements, and iterating over data with for, do/while, while, and foreach loops.
4) Classes are blueprints for creating objects with fields to store data and methods to perform actions.
This document discusses Business Process Testing (BPT) methodology using QuickTest Professional (QTP). It covers topics like the different types of components in BPT, how to create scripted components, parameterization, creating test scripts by pulling together components in a workflow, and running regression testing. The benefits of BPT include reusability of components, quicker test creation, reduced maintenance compared to traditional automation, and effective data-driven testing.
The document discusses various C preprocessor directives and their usage. It provides examples of how to use #define, #include, #ifdef, #ifndef, #if, #else, #endif, #undef, and #pragma directives in C code. It also discusses macro definitions and how they allow text replacement before compilation. Conditional compilation directives like #ifdef allow including or excluding blocks of code based on conditions. The #pragma directive is implementation specific and examples show how to use #pragma startup and #pragma exit to define functions to run before and after main.
This document provides an introduction to embedded C programming. It defines embedded C as an extension of the C programming language used to develop microcontroller-based applications. The key differences between embedded C and standard C are that embedded C is hardware dependent, compiler dependent, and used for limited resource microcontrollers. The document outlines the basic structure of embedded C programs and lists some common data types and keywords. It also discusses variables, arrays, control structures, functions and macros that are often used in embedded C.
This document outlines the objectives and topics covered in the course EC8393 - Fundamentals of Data Structures in C. The course aims to teach students about linear and non-linear data structures and their applications using the C programming language. Key topics include implementing various data structure operations in C, choosing appropriate data structures, and modifying existing or designing new data structures for applications. Assessment includes continuous internal assessments, a university exam, and a minimum 80% attendance requirement.
The document discusses the basic structure of a C program, which includes documentation, link, definition, global declarations, main functions, and subprograms sections. It also summarizes the key components of a C program like data types, variables, expressions, statements, operators, library functions, input/output functions, and control flow statements like if/else, loops. The main function contains the declaration and execution parts, while user-defined functions are defined in the subprogram section. Common input functions like scanf and output functions like printf are also summarized.
The main function serves as the starting point for program execution. It controls program flow by calling other functions. A program typically ends at the end of main. All C programs must have a main function which takes no arguments and returns an int. Main contains the core logic that runs the program. Preprocessor directives like #include add functionality by including header files. Macros defined with #define are text replacements that occur before compilation. Conditional compilation with #ifdef/#ifndef includes or excludes blocks of code based on symbol definitions.
This document discusses unit testing ILE procedures in IBM i. It introduces unit testing as a way to identify bugs early and test code as it is written. It outlines how to create a test script in RPG that calls the procedures being tested and produces a report of the inputs, expected outputs, and actual results. The document provides terminology for different types of testing and guidelines for compiling test scripts separately from production code. It emphasizes that unit testing should be integrated into the development process.
Internet Technology Lectures
Domain Name
Lecturer: Saman M. Almufti / Kurdistan Region, Nawroz University
facebook: https://www.facebook.com/saman.malmufti
YouTube link: https://youtu.be/XUSSqmPKvj0
Visual Programming using C#
Lecturer: Saman M. Almufti / Kurdistan Region, Nawroz University, (Visitor : Ararat Institute)
facebook: https://www.facebook.com/saman.malmufti
youtube link: https://youtu.be/OB4pmFx0HA4
IN THIS LECTURE:
1-ContextMenuStrip
2- RichTextBox
Visual Programming using C#
Lecturer: Saman M. Almufti / Kurdistan Region, Nawroz University, (Visitor : Ararat Institute)
facebook: https://www.facebook.com/saman.malmufti
YouTube Link: https://youtu.be/ik_kxvSGwEs
IN THIS LECTURE:
1- for loop
2-while
3-do wile
Internet Technology Lectures
HTTP & HTTPS
Lecturer: Saman M. Almufti / Kurdistan Region, Nawroz University
facebook: https://www.facebook.com/saman.malmufti
YouTube link: https://youtu.be/I8QOWD_GH5g
Internet Technology Lectures
URL-DNS
Lecturer: Saman M. Almufti / Kurdistan Region, Nawroz University
facebook: https://www.facebook.com/saman.malmufti
YouTube link: https://youtu.be/pOx04uODo5o
Visual Programming using C#
Lecturer: Saman M. Almufti / Kurdistan Region, Nawroz University, (Visitor : Ararat Institute)
facebook: https://www.facebook.com/saman.malmufti
YouTube Link:https://youtu.be/WpkiJ4rgc68
IN THIS LECTURE:
1- adding new form
2-adding ToolTip
3-adding NotifyIcon
The document discusses Internet Protocol (IP) which is used for addressing and routing in internet communication. There are two main versions of IP - IPv4 which uses 32-bit addresses written as four numbers between 0-255, providing about 4 billion possible addresses. IPv6 uses 128-bit addresses to support more devices as IPv4 addresses are running out. IP addresses identify devices and are split into host and network parts, with different IP address classes for small, medium and large networks. The document also provides methods to convert IP addresses between decimal and binary formats.
Visual Programming using C#
Lecturer: Saman M. Almufti / Kurdistan Region, Nawroz University, (Visitor : Ararat Institute)
facebook: https://www.facebook.com/saman.malmufti
YouTube Link:https://youtu.be/Bh6POzkLilY
IN THIS LECTURE:
1- Introduction to MenuStrip
Visual Programming using C#
Lecturer: Saman M. Almufti / Kurdistan Region, Nawroz University, (Visitor : Ararat Institute)
facebook: https://www.facebook.com/saman.malmufti
YouTube link: https://youtu.be/KTxJs0uK4HU
IN THIS LECTURE:
1- Introduction to PictureBox
2- Introduction to DateTimePicker
Internet Technology Lectures
network protocols, TCP/IP Model
Lecturer: Saman M. Almufti / Kurdistan Region, Nawroz University
facebook: https://www.facebook.com/saman.malmufti
YouTube Link:https://youtu.be/JgbAWAc0fDs
Visual Programming using C#
Lecturer: Saman M. Almufti / Kurdistan Region, Nawroz University, (Visitor : Ararat Institute)
facebook: https://www.facebook.com/saman.malmufti
YouTube link: https://youtu.be/FQWjwFM6IDA
IN THIS LECTURE:
1- Introduction to ComboBox
2- Introduction to ListBox
3- Introduction to CheckedListBox
4-using \n to combine texts
Internet Technology Lectures
Lecturer: Saman M. Almufti / Kurdistan Region, Nawroz University
facebook: https://www.facebook.com/saman.malmufti
YouTube Link: https://youtu.be/I-VbO8EgPeU
Visual Programming Lectures using Visual Studio 2015 C# Windows Form Application
Lecturer: Saman M. Almufti / Kurdistan Region, Nawroz University
facebook: https://www.facebook.com/saman.malmufti
Visual Programming Lectures using Visual Studio 2015 C# Windows Form Application
Lecturer: Saman M. Almufti / Kurdistan Region, Nawroz University
facebook: https://www.facebook.com/saman.malmufti
Session 1 - Intro to Robotic Process Automation.pdfUiPathCommunity
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
This talk will cover ScyllaDB Architecture from the cluster-level view and zoom in on data distribution and internal node architecture. In the process, we will learn the secret sauce used to get ScyllaDB's high availability and superior performance. We will also touch on the upcoming changes to ScyllaDB architecture, moving to strongly consistent metadata and tablets.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
Must Know Postgres Extension for DBA and Developer during MigrationMydbops
Mydbops Opensource Database Meetup 16
Topic: Must-Know PostgreSQL Extensions for Developers and DBAs During Migration
Speaker: Deepak Mahto, Founder of DataCloudGaze Consulting
Date & Time: 8th June | 10 AM - 1 PM IST
Venue: Bangalore International Centre, Bangalore
Abstract: Discover how PostgreSQL extensions can be your secret weapon! This talk explores how key extensions enhance database capabilities and streamline the migration process for users moving from other relational databases like Oracle.
Key Takeaways:
* Learn about crucial extensions like oracle_fdw, pgtt, and pg_audit that ease migration complexities.
* Gain valuable strategies for implementing these extensions in PostgreSQL to achieve license freedom.
* Discover how these key extensions can empower both developers and DBAs during the migration process.
* Don't miss this chance to gain practical knowledge from an industry expert and stay updated on the latest open-source database trends.
Mydbops Managed Services specializes in taking the pain out of database management while optimizing performance. Since 2015, we have been providing top-notch support and assistance for the top three open-source databases: MySQL, MongoDB, and PostgreSQL.
Our team offers a wide range of services, including assistance, support, consulting, 24/7 operations, and expertise in all relevant technologies. We help organizations improve their database's performance, scalability, efficiency, and availability.
Contact us: info@mydbops.com
Visit: https://www.mydbops.com/
Follow us on LinkedIn: https://in.linkedin.com/company/mydbops
For more details and updates, please follow up the below links.
Meetup Page : https://www.meetup.com/mydbops-databa...
Twitter: https://twitter.com/mydbopsofficial
Blogs: https://www.mydbops.com/blog/
Facebook(Meta): https://www.facebook.com/mydbops/
inQuba Webinar Mastering Customer Journey Management with Dr Graham HillLizaNolte
HERE IS YOUR WEBINAR CONTENT! 'Mastering Customer Journey Management with Dr. Graham Hill'. We hope you find the webinar recording both insightful and enjoyable.
In this webinar, we explored essential aspects of Customer Journey Management and personalization. Here’s a summary of the key insights and topics discussed:
Key Takeaways:
Understanding the Customer Journey: Dr. Hill emphasized the importance of mapping and understanding the complete customer journey to identify touchpoints and opportunities for improvement.
Personalization Strategies: We discussed how to leverage data and insights to create personalized experiences that resonate with customers.
Technology Integration: Insights were shared on how inQuba’s advanced technology can streamline customer interactions and drive operational efficiency.
inQuba Webinar Mastering Customer Journey Management with Dr Graham Hill
Vs c# lecture6
1.
2. C# IF ELSE STATEMENTS
The conditional statement if.. else in C# is using for check the conditions that we
provided in the head of if statement and making decision based on that condition.
The conditional statement examining the data using comparison operators as well as
logical operators. The else statement is optional , so we can use the statement in two
ways ;
if (condition)
{
statement;
}
else if (condition)
{
statement;
}
else
{
statement;
}
if (condition)
{
statement;
}
if (condition)
{
statement;
}
else
{
statement;
}
3. From the project menu in the C# menu bar
• Click the Add References
• Chose assemblies => Framework
• Search for System.Speach in the framework list
• Chose System.speech and click ok
• Before adding the code we have to add
( ) to
the beginning of the program.
4. Example:- using system.speech to read (text to speech)
what is written in the text box
From the project menu in the C# menu bar
• Add system.speech library
• Add textbox or richtextbox
• Add button
5. using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Windows.Forms;
using System.Speech.Synthesis;
namespace WindowsFormsApplication20
{
public partial class Form1 : Form
{
SpeechSynthesizer p = new SpeechSynthesizer();
public Form1()
{
InitializeComponent();
}
private void button1_Click(object sender, EventArgs e)
{
p.Speak(textBox1.Text);
}
}
}
Add using
System.Speech.
Synthesis;