(2) cpp imperative programming_exercisesNico Ludwig
The document outlines an exercise to create a C++ console program that asks the user for 5 integers, calculates the sum of their squares, and implements a menu with options to input numbers, calculate the sum, and quit the program. It provides requirements such as handling erroneous input, using constants, avoiding magic numbers, and commenting code. The program must be a robust console application without using arrays, goto statements, C++11 features, global variables, or the STL.
EclipseCon 2015 - Generating business applications from executable modelsRafael Chaves
Describes the value of executable models and shows and example of how to do code generation from executable models, covering structure, state dynamics and behavior. Presented at EclipseCon 2015: https://www.eclipsecon.org/na2015/session/generating-business-applications-executable-models-using-xtend-and-eclipse-uml2
Error correction techniques involve syntax, logic, and runtime errors. Syntax errors do not follow language rules and can be found through careful checking. Logic errors result in unexpected output and are detected through desk checking algorithms with test data. Runtime errors cause crashes and are difficult to locate, found through testing with different data. Stubs and flags are used during debugging to check connections between modules and determine if sections of code have been processed.
This document discusses how test-driven development (TDD) is similar to Beethoven's compositional process. It outlines constraints for practicing TDD like Beethoven, which include not compiling or running code, using only a text editor, and not using autocomplete. The process involves writing a failing test, adding code to pass the test, refactoring code while ensuring tests still pass, and repeating until the problem is solved before finally compiling and running the code.
The document discusses the process of writing a computer program. It explains that programming involves breaking a problem down into a logical sequence of steps. There are two main phases: the problem-solving phase where the problem is analyzed and an algorithm is developed, and the implementation phase where the algorithm is translated into a programming language and tested. The process also includes a maintenance phase to modify the program as needed over time.
The document describes an operating system lab test that will take place from 2:30-4:30 PM. Students are instructed to choose one of Bash, Python, or Batch for the test and are not allowed to use internet resources, communicate with others, or leave during the test. The test contains 7 questions to attempt 5 of, including writing programs for number guessing, random color matrices, system information, and process creation/killing. Students are reminded to backup work and use valid naming for files and variables. Checking will begin at 4 PM and best of luck is wished.
(2) cpp imperative programming_exercisesNico Ludwig
The document outlines an exercise to create a C++ console program that asks the user for 5 integers, calculates the sum of their squares, and implements a menu with options to input numbers, calculate the sum, and quit the program. It provides requirements such as handling erroneous input, using constants, avoiding magic numbers, and commenting code. The program must be a robust console application without using arrays, goto statements, C++11 features, global variables, or the STL.
EclipseCon 2015 - Generating business applications from executable modelsRafael Chaves
Describes the value of executable models and shows and example of how to do code generation from executable models, covering structure, state dynamics and behavior. Presented at EclipseCon 2015: https://www.eclipsecon.org/na2015/session/generating-business-applications-executable-models-using-xtend-and-eclipse-uml2
Error correction techniques involve syntax, logic, and runtime errors. Syntax errors do not follow language rules and can be found through careful checking. Logic errors result in unexpected output and are detected through desk checking algorithms with test data. Runtime errors cause crashes and are difficult to locate, found through testing with different data. Stubs and flags are used during debugging to check connections between modules and determine if sections of code have been processed.
This document discusses how test-driven development (TDD) is similar to Beethoven's compositional process. It outlines constraints for practicing TDD like Beethoven, which include not compiling or running code, using only a text editor, and not using autocomplete. The process involves writing a failing test, adding code to pass the test, refactoring code while ensuring tests still pass, and repeating until the problem is solved before finally compiling and running the code.
The document discusses the process of writing a computer program. It explains that programming involves breaking a problem down into a logical sequence of steps. There are two main phases: the problem-solving phase where the problem is analyzed and an algorithm is developed, and the implementation phase where the algorithm is translated into a programming language and tested. The process also includes a maintenance phase to modify the program as needed over time.
The document describes an operating system lab test that will take place from 2:30-4:30 PM. Students are instructed to choose one of Bash, Python, or Batch for the test and are not allowed to use internet resources, communicate with others, or leave during the test. The test contains 7 questions to attempt 5 of, including writing programs for number guessing, random color matrices, system information, and process creation/killing. Students are reminded to backup work and use valid naming for files and variables. Checking will begin at 4 PM and best of luck is wished.
This document discusses program logic and the importance of developing correct logic when writing a program. It provides examples of programs with incorrect logic, such as a recipe that instructs to add gasoline instead of flour. Most simple programs include steps for input, processing, and output. A program to double a number is used as an example, with instructions to input a number, multiply it by two for processing, and output the answer. The document explains the logic behind input, processing, and output operations in a program.
This document introduces Python programming and provides an overview of key concepts. It discusses why Python is a good first programming language due to its small, clean syntax and dynamic typing. It then covers basics like what a program is, how they take input, perform output and calculations, and use conditionals and repetition. It also defines debugging and common error types. It contrasts natural languages with formal languages used for programming and mathematics. Finally, it demonstrates a simple "Hello World!" Python program and reviews core vocabulary.
The design and_implementation_of_a_provit_conss1160125
- The document discusses the implementation of a console feature in PROVIT, a program visualization tool used to help beginners learn C programming.
- The author implemented a text area console that can display standard input and output from C programs with printf and scanf functions. Users can now input letters through the console.
- An experiment was conducted with students using the new PROVIT version. A questionnaire determined the console increased usability, though some operation problems remained like input confusion and lack of keyboard shortcuts.
Using Pseudocode Statements and Flowchart SymbolsAr Kyu Dee
The document discusses tools used in developing programs, including pseudocode and flowcharts. It provides examples of pseudocode statements for a number doubling problem and explains that pseudocode uses English-like representations of programming logic. Flowcharts are also covered, with examples showing how they visually represent programming logic and flow using standard symbols like rectangles, diamonds, and parallelograms connected by arrows. The document emphasizes that pseudocode and flowcharts are planning tools that help visualize a program's logic before writing the actual code.
This is my class assignment. Related to software quality engineering. In this simply applied basic test for quality test.
Code which I used is python3.
May it can be helpful for someone.
Thank you
The document discusses functions in programming. It defines functions as mini-programs that perform a specific task and can be called multiple times without rewriting code. Key points about functions include using them to avoid duplicating code, defining functions with def statements, and having local and global scopes that determine variable visibility. Examples demonstrate how functions take in arguments and return values. The document also covers exception handling and a practice project involving the Collatz sequence.
Error and Error Handling
Using die() function
Defining Custom Error Handling Function
Error Parameter
Possible Error levels
Possible Error levels Exceptions Handling
Creating Custom Exception Handler
Jeremiah Yancy - Objectives for Software design and testingJeremiah Yancy
Mr. Jeremiah Yancy possesses extensive experience and industry knowledge in his field and has managed multiple startups from inception to Initial Public Offering.
The document is a past exam paper for an Introduction to Internet Programming course. It provides instructions for a 1 hour practical exam worth 30 marks total. The exam contains 2 compulsory questions worth 10 marks each - the first asks students to write a Java program that throws a custom exception for negative numbers, and the second asks students to write a program that compares elements in two arrays and returns true if they match or false if they don't. An additional 10 marks are available for a viva voce evaluation. All programs must be written in Java.
The document provides tips for becoming a better programmer, including getting interested in programming, learning tools and languages, understanding algorithms and data structures, practicing different approaches to problem solving, collaborating with other programmers, and constantly learning new skills and paradigms over many years.
Year 7 lesson 1 introduction to programmingtmoncrieff
This document provides instructions for an introductory lesson on Python programming. The learning objectives are to understand basic Python syntax, be able to use the IDLE integrated development environment, and write and run a Python program. The lesson covers opening IDLE, identifying what IDLE stands for, writing a simple Python program to ask for a name and print a greeting, and dealing with syntax errors.
This document outlines a lesson on using Python for math calculations and combining math and text. The lesson objectives are to learn how to use Python for math calculations. The outcomes are that students will be able to use text and math in Python programs. The lesson covers escape sequences, basic math calculations, combining math and text using operators, and formatting numbers. Students complete tasks on a worksheet to practice these skills.
Introduction,Developing a Program, Program Development Life Cycle, Algorithm,Flowchart,Flowchart Symbols,Guidelines for Preparing Flowcharts,Benefits and Limitations of Flowcharts
The document discusses exceptions and exception handling in programs. It defines an exception as a problem that arises during program execution, such as attempting to divide by zero. Exception handling allows programs to respond to errors in a more organized way using try and catch blocks. It describes four approaches programs can take to respond to errors: crashing, informing the user and exiting, informing the user to attempt recovery, or taking corrective action without disturbing the user. The key aspects of exception handling are try blocks to detect where exceptions may occur, catch blocks to determine the type of exception and how to handle it, and throw to raise an exception from anywhere in the code.
Year 7 lesson 4 interactive and script modetmoncrieff
This document discusses saving and running Python code in script mode. It provides instructions on opening a new script window in IDLE and saving files. Learners will practice writing code to count to 10 and print the first 10 square numbers with comments. They are then asked to write a Python file called "friendly_computer.py" that asks for a user's name, greets them, says it was nice talking to them, and says goodbye using their name. The learning outcomes are to save code in script mode and get keyboard input from users.
This document provides an overview of principles of programming, including problem solving techniques, the problem solving process, input/output statements, programming errors, and debugging. It discusses:
1) Problem solving involves understanding the problem, analyzing it, developing a solution design, and coding/implementing it. Key steps are understanding the problem fully before analyzing possible solutions.
2) Programming errors can occur from syntax, semantics, or logic. Syntax errors prevent compilation while runtime errors occur during execution. Debugging is used to detect and remove errors.
3) Input/output statements like cin and cout are used for getting input and displaying output. Escape codes represent special characters.
4) Debuggers help detect errors by
This document provides an overview of principles of programming, including problem solving techniques, the problem solving process, input/output statements, programming errors, and debugging. It discusses:
1) Problem solving involves understanding the problem, analyzing it, developing a solution design, and coding/implementing it. An algorithm is a set of steps to solve a problem written in plain language.
2) Programming errors include syntax errors, semantic errors, and logical errors. Syntax errors are detected during compilation, while runtime and logical errors occur during program execution.
3) Debugging is the process of detecting and removing errors to fix problems and ensure correct program operation. Debuggers are tools that help developers test programs and pinpoint issues
This document provides an introduction and overview for a course on programming in C++. It discusses the goals of the course, which are to teach programming principles and the C++ language. Students will learn essential concepts like variables, data types, functions, and arrays. They will write increasingly complex programs and develop good programming style. The course will be assessed through quizzes, exams, and class projects. Topics to be covered include variables, input/output, control flow, arrays, pointers, strings, and file I/O. Good programming practices like readability, simplicity, and avoiding reinventing solutions are emphasized.
This document discusses object oriented programming using C++. It begins by covering topics like principles of OOP, the need for studying the subject, and how C++ overcomes the software crisis. It then discusses the software crisis in more detail, including characteristics of problematic software. The evolution of programming languages from machine code to assembly to high-level languages is examined. Finally, the document introduces C++ and how it facilitates object oriented programming to address issues with procedural programming.
This document contains an agenda for a lesson on Python programming. The lesson plan includes:
- A 10 minute warm up about programming
- A 15 minute presentation about Python
- A 5 minute video about Python
- Practical work where students work in pairs to create a simple Python program
- A 5 minute question and answer session as a pre-test on Python
- A 5 minute reflection
- A discussion of homework for 5 minutes
The lesson aims to help students gain experience designing, implementing, testing and debugging Python programs that use different data types, variables and constants.
This document discusses program logic and the importance of developing correct logic when writing a program. It provides examples of programs with incorrect logic, such as a recipe that instructs to add gasoline instead of flour. Most simple programs include steps for input, processing, and output. A program to double a number is used as an example, with instructions to input a number, multiply it by two for processing, and output the answer. The document explains the logic behind input, processing, and output operations in a program.
This document introduces Python programming and provides an overview of key concepts. It discusses why Python is a good first programming language due to its small, clean syntax and dynamic typing. It then covers basics like what a program is, how they take input, perform output and calculations, and use conditionals and repetition. It also defines debugging and common error types. It contrasts natural languages with formal languages used for programming and mathematics. Finally, it demonstrates a simple "Hello World!" Python program and reviews core vocabulary.
The design and_implementation_of_a_provit_conss1160125
- The document discusses the implementation of a console feature in PROVIT, a program visualization tool used to help beginners learn C programming.
- The author implemented a text area console that can display standard input and output from C programs with printf and scanf functions. Users can now input letters through the console.
- An experiment was conducted with students using the new PROVIT version. A questionnaire determined the console increased usability, though some operation problems remained like input confusion and lack of keyboard shortcuts.
Using Pseudocode Statements and Flowchart SymbolsAr Kyu Dee
The document discusses tools used in developing programs, including pseudocode and flowcharts. It provides examples of pseudocode statements for a number doubling problem and explains that pseudocode uses English-like representations of programming logic. Flowcharts are also covered, with examples showing how they visually represent programming logic and flow using standard symbols like rectangles, diamonds, and parallelograms connected by arrows. The document emphasizes that pseudocode and flowcharts are planning tools that help visualize a program's logic before writing the actual code.
This is my class assignment. Related to software quality engineering. In this simply applied basic test for quality test.
Code which I used is python3.
May it can be helpful for someone.
Thank you
The document discusses functions in programming. It defines functions as mini-programs that perform a specific task and can be called multiple times without rewriting code. Key points about functions include using them to avoid duplicating code, defining functions with def statements, and having local and global scopes that determine variable visibility. Examples demonstrate how functions take in arguments and return values. The document also covers exception handling and a practice project involving the Collatz sequence.
Error and Error Handling
Using die() function
Defining Custom Error Handling Function
Error Parameter
Possible Error levels
Possible Error levels Exceptions Handling
Creating Custom Exception Handler
Jeremiah Yancy - Objectives for Software design and testingJeremiah Yancy
Mr. Jeremiah Yancy possesses extensive experience and industry knowledge in his field and has managed multiple startups from inception to Initial Public Offering.
The document is a past exam paper for an Introduction to Internet Programming course. It provides instructions for a 1 hour practical exam worth 30 marks total. The exam contains 2 compulsory questions worth 10 marks each - the first asks students to write a Java program that throws a custom exception for negative numbers, and the second asks students to write a program that compares elements in two arrays and returns true if they match or false if they don't. An additional 10 marks are available for a viva voce evaluation. All programs must be written in Java.
The document provides tips for becoming a better programmer, including getting interested in programming, learning tools and languages, understanding algorithms and data structures, practicing different approaches to problem solving, collaborating with other programmers, and constantly learning new skills and paradigms over many years.
Year 7 lesson 1 introduction to programmingtmoncrieff
This document provides instructions for an introductory lesson on Python programming. The learning objectives are to understand basic Python syntax, be able to use the IDLE integrated development environment, and write and run a Python program. The lesson covers opening IDLE, identifying what IDLE stands for, writing a simple Python program to ask for a name and print a greeting, and dealing with syntax errors.
This document outlines a lesson on using Python for math calculations and combining math and text. The lesson objectives are to learn how to use Python for math calculations. The outcomes are that students will be able to use text and math in Python programs. The lesson covers escape sequences, basic math calculations, combining math and text using operators, and formatting numbers. Students complete tasks on a worksheet to practice these skills.
Introduction,Developing a Program, Program Development Life Cycle, Algorithm,Flowchart,Flowchart Symbols,Guidelines for Preparing Flowcharts,Benefits and Limitations of Flowcharts
The document discusses exceptions and exception handling in programs. It defines an exception as a problem that arises during program execution, such as attempting to divide by zero. Exception handling allows programs to respond to errors in a more organized way using try and catch blocks. It describes four approaches programs can take to respond to errors: crashing, informing the user and exiting, informing the user to attempt recovery, or taking corrective action without disturbing the user. The key aspects of exception handling are try blocks to detect where exceptions may occur, catch blocks to determine the type of exception and how to handle it, and throw to raise an exception from anywhere in the code.
Year 7 lesson 4 interactive and script modetmoncrieff
This document discusses saving and running Python code in script mode. It provides instructions on opening a new script window in IDLE and saving files. Learners will practice writing code to count to 10 and print the first 10 square numbers with comments. They are then asked to write a Python file called "friendly_computer.py" that asks for a user's name, greets them, says it was nice talking to them, and says goodbye using their name. The learning outcomes are to save code in script mode and get keyboard input from users.
This document provides an overview of principles of programming, including problem solving techniques, the problem solving process, input/output statements, programming errors, and debugging. It discusses:
1) Problem solving involves understanding the problem, analyzing it, developing a solution design, and coding/implementing it. Key steps are understanding the problem fully before analyzing possible solutions.
2) Programming errors can occur from syntax, semantics, or logic. Syntax errors prevent compilation while runtime errors occur during execution. Debugging is used to detect and remove errors.
3) Input/output statements like cin and cout are used for getting input and displaying output. Escape codes represent special characters.
4) Debuggers help detect errors by
This document provides an overview of principles of programming, including problem solving techniques, the problem solving process, input/output statements, programming errors, and debugging. It discusses:
1) Problem solving involves understanding the problem, analyzing it, developing a solution design, and coding/implementing it. An algorithm is a set of steps to solve a problem written in plain language.
2) Programming errors include syntax errors, semantic errors, and logical errors. Syntax errors are detected during compilation, while runtime and logical errors occur during program execution.
3) Debugging is the process of detecting and removing errors to fix problems and ensure correct program operation. Debuggers are tools that help developers test programs and pinpoint issues
This document provides an introduction and overview for a course on programming in C++. It discusses the goals of the course, which are to teach programming principles and the C++ language. Students will learn essential concepts like variables, data types, functions, and arrays. They will write increasingly complex programs and develop good programming style. The course will be assessed through quizzes, exams, and class projects. Topics to be covered include variables, input/output, control flow, arrays, pointers, strings, and file I/O. Good programming practices like readability, simplicity, and avoiding reinventing solutions are emphasized.
This document discusses object oriented programming using C++. It begins by covering topics like principles of OOP, the need for studying the subject, and how C++ overcomes the software crisis. It then discusses the software crisis in more detail, including characteristics of problematic software. The evolution of programming languages from machine code to assembly to high-level languages is examined. Finally, the document introduces C++ and how it facilitates object oriented programming to address issues with procedural programming.
This document contains an agenda for a lesson on Python programming. The lesson plan includes:
- A 10 minute warm up about programming
- A 15 minute presentation about Python
- A 5 minute video about Python
- Practical work where students work in pairs to create a simple Python program
- A 5 minute question and answer session as a pre-test on Python
- A 5 minute reflection
- A discussion of homework for 5 minutes
The lesson aims to help students gain experience designing, implementing, testing and debugging Python programs that use different data types, variables and constants.
C is a general-purpose programming language developed in the 1970s. It combines high-level language features with low-level language efficiency and flexibility. C programs are portable, meaning they can run on many different computer systems. C laid the foundation for many other popular languages by providing core functionality like functions, arrays, structures, and pointers in a simple syntax that is efficient for systems programming tasks.
This document provides an introduction to a course on programming in C++. The course will cover fundamental programming concepts like variables, data types, functions, and arrays. It will also cover more advanced C++ topics like pointers, references, and dynamic memory allocation. The goal is for students to learn essential programming skills and gain familiarity with the C++ syntax so they can write reasonably complex programs. The course will be assessed through quizzes, midterm and final exams, and practice projects completed in labs.
The document provides an overview of problem solving and C programming at a basic knowledge level. It covers various topics including introduction to problem solving, programming languages, introduction to C programming, selection structures, arrays and strings, pointers, functions, structures and unions, and files. The objective is to understand problem solving concepts, appreciate program design, understand C programming elements, and write effective C programs. It discusses steps in program development, algorithms, modular design, coding, documentation, compilation and more.
The document discusses the history and features of the C programming language. It notes that C was created in 1972 by Dennis Ritchie at Bell Labs and was initially designed for use in UNIX operating systems. Some key points made about C include that it is a general purpose language commonly used for systems programming, that it combines high-level and low-level language features, and that it is portable, widely used, and efficient. The document provides an overview of C's syntax, functions, libraries, and other characteristics that have made it a popular and enduring programming language.
The document discusses the history and features of the C programming language. It notes that C was created in 1972 by Dennis Ritchie at Bell Labs and was initially designed for use in UNIX operating systems. Some key points made about C include that it is a widely used and portable language, combines high-level and low-level features, supports modular programming, and has built-in functions that make it powerful yet efficient. C continues to be popular for systems programming tasks due to its flexibility and performance.
Programming Fundamentals and basic knowledge imtiazalijoono
Programming Fundamentals
Outline
• Course introduction
• Programming languages concepts
• C Programming Basics
• Machine languages
• Assembly languages
• High-level languages
Basic Structure of C Program
C is a general-purpose programming language developed in the 1970s. It produces very fast executable code and is widely used for operating systems, compilers, and many other applications. Some key reasons for its popularity include its portability, ability to access hardware directly, and large existing code base. The document provides an overview of C's history, why it is still useful today, basic C program structure, and other programming concepts like tokens, keywords, identifiers, and constants.
This document provides an introduction to programming and programming languages. It begins with definitions of programming and programming languages. It then discusses the different levels of programming languages from machine language to natural language. Examples of popular programming languages like BASIC, COBOL, Pascal, C, FORTRAN, Visual BASIC, C++ and Java are also provided. The document concludes with an overview of the main phases in program development which are problem analysis, program design, coding, testing and debugging, and documentation.
This document provides an introduction to programming module for secondary school students in Malaysia. It begins with definitions of programming and programming languages. It then discusses different levels of programming languages from machine language to natural language. Examples of popular programming languages like BASIC, COBOL, Pascal, C, FORTRAN, Visual BASIC, C++ and Java are provided. The document also explains the typical phases in program development like problem analysis, program design, coding, testing and debugging, and documentation. It concludes by providing an overview of the Just BASIC V1.01 programming tool for creating simple programs.
1. The document discusses the history and structure of the C programming language. It describes how C was developed at Bell Labs in the 1970s from earlier languages like B and BCPL.
2. The key parts of a C program are discussed, including the main function, use of functions, header files, and standard libraries. Preprocessor directives like #include are also summarized.
3. The document provides an overview of C, from its origins and influences to the basic building blocks of C programs like functions, variables, and standard libraries.
The document summarizes key points from a lecture on software programming. It discusses the five steps of programming: specification, design, coding, testing, and maintenance. It also covers different programming languages from machine language to natural languages. Object-oriented programming and visual programming are introduced as well. Common programming languages mentioned include C++, Python, and .NET.
This document provides an introduction to programming concepts such as algorithms, pseudocode, and flowcharts. It defines computer programming as the process of writing code to instruct a computer, and explains that programming languages allow users to communicate instructions to computers. The document outlines different types of computer languages including low-level languages like machine language and assembly language, and high-level languages like procedural, functional, and object-oriented languages. It also discusses specialized languages, translator programs, and program logic design tools for solving problems algorithmically through pseudocode and flowcharts.
The document provides an introduction to programming and problem solving using computers. It discusses the following key points:
- Problem solving involves determining the inputs, outputs, and steps to solve a problem. Computers can be programmed to solve problems more quickly if they involve extensive inputs/outputs or complex/time-consuming methods.
- The software development process includes requirements specification, analysis, design, implementation, testing, and documentation. Algorithms using pseudocode or flowcharts are designed to solve problems.
- Programming languages have evolved from low-level machine languages to high-level languages. Earlier generations like assembly language were more machine-oriented while modern languages are more portable, problem-oriented, and easier for humans to read and write
Similar to (3) cpp procedural programming_exercises (20)
Von Gleichungen zu Funktionen
Überblick über ganzrationale Funktionen
Koordinatensysteme für Graphen ganzrationaler Funktionen mit Excels Liniendiagrammen erstellen
Einfache Analyse ganzrationaler Funktionen anhand deren Graphen
Von linearen zu quadratischen Gleichungssystemen
Verschiedene Möglichkeiten quadratische Gleichungssysteme grafisch zu lösen
Koordinatensysteme für quadratische Graphen mit Excels Liniendiagrammen erstellen und Gleichungen damit grafisch lösen
Grafische Interpretation der Lösungen von Normalparabel-Gerade Kombinationen
Diagramme
Einführung linearer Gleichungssysteme mit zwei Unbekannten
Rechnerische und grafische Lösung linearer Gleichungssysteme
Wertetabellen mit Excel erstellen
Koordinatensysteme und lineare Graphen mit Excels Liniendiagrammen erstellen und Gleichungen damit grafisch lösen
Mit großen Tabellen arbeiten
Sortieren und Filtern
Objekte einfügen
Formeln und rechnen mit Excel, insbesondere Zahlen und Textbearbeitung
Relative und absolute Zellbezüge
Funktionen: SUMME(), ANZAHL(), MIN(), MAX(), MITTELWERT(), JETZT(), HEUTE(), ZUFALLSZAHL(), PI() und SUMMEWENN()
Mathematische Probleme in Tabellenform
Geschichtliche Entwicklung
Grundlegende Konzepte und Begriffe in Excel
Selektion, Dateneingabe und Datentypen
Zellformatierung und Inhaltsformatierung
This document discusses the history and evolution of graphical user interfaces (GUIs) in web browsers. It begins by explaining the concepts of vector-based and raster-based graphics. It then describes early approaches using bare HTML pages, which felt like navigation rather than a true application. Plugins were introduced to provide richer content but had problems with resources, installation, and security. Finally, the document introduces HTML5 Canvas as a solution for continuous, event-driven drawing without plugins, allowing single-page web applications.
The document discusses different approaches to drawing graphics on a computer screen, including raster-based and vector-based graphics. It focuses on raster-based drawing APIs and their evolution from native platform-specific APIs to platform-independent APIs in web browsers. Key developments included the use of browser plugins, problems with plugins, and the introduction of HTML5 Canvas which enables interactive drawing in browsers without plugins.
- Wires and Bulbs
- Batch Processing
- Terminal and Mainframe
- From the Command-Line to Killer Applications
- Vector Displays and Raster Displays
- Color Displays
- The Mouse and the Takeoff of Interactivity
- The Desktop Metaphor
- Wires and Bulbs
- Batch Processing
- Terminal and Mainframe
- From the Command-Line to Killer Applications
- Vector Displays and Raster Displays
- Color Displays
- The Mouse and the Takeoff of Interactivity
- The Desktop Metaphor
This document discusses new features in C# 4 including home-brew dynamic dispatch using the DynamicObject class. It allows implementing custom dynamic behavior by overriding methods like TryInvokeMember. The document also covers hosting scripting languages with the Dynamic Language Runtime (DLR), including IronPython, IronRuby, and IronScheme. Dynamic dispatch enables seamless collaboration and controlled isolation between .NET and DLR-based languages.
This document discusses new features in C# 4 related to dynamic coding. It describes how dynamic typing allows easier COM automation without needing interop types. Anonymous type instances can now be passed to methods using dynamic parameters. The document also discusses dynamic objects in JavaScript and how ExpandoObjects in .NET allow objects to have dynamically added and modified properties at runtime similar to dynamic objects in JavaScript.
This document discusses the Dynamic Language Runtime (DLR) and dynamic coding features in C# 4. It provides an overview of the DLR and how it allows interoperability between statically and dynamically typed languages on the .NET framework. The DLR transforms dynamic operations in C# into calls to the DLR at compile time and handles dynamic dispatch at runtime. It uses expression trees to represent operations in a language-agnostic way and caches binding results for improved performance.
This document discusses new features related to dynamic programming in C# 4. It begins by explaining why dynamic typing is an important new feature in .NET 4 due to increasing needs for interoperability. It then provides an overview of dynamic typing concepts like late binding and duck typing. The document shows how these concepts are implemented in VB for dynamic programming and how C#4 introduces dynamic typing capabilities through the new "dynamic" keyword and Dynamic Language Runtime (DLR) while still being a statically typed language. It discusses the basic syntax for using dynamics in C#4 and some restrictions.
This document summarizes new generic types and features in C# 4, including Lazy<T> for deferred initialization, tuples for ad-hoc data structures, and generic variance. Generic variance allows covariant and contravariant conversions between generic types to promote substitutability. It was enabled for interfaces and delegates in C# 4 through explicit variance declarations like "out T" and "in T". This improves type safety over arrays, which allow unsafe covariance in C#.
This document discusses LINQ (Language Integrated Query) features in C#, including introducing LINQ to Objects, basic query expressions for projection and selection, and anonymous types. It provides examples of how LINQ to Objects maps to extension methods, functional and declarative expressibility using LINQ, details about the LINQ translation process from query expressions to method calls, and examples of using anonymous types.
The document discusses LINQ and C# algorithms. It compares the C++ STL algorithm model to the .NET algorithm model using IEnumerable<T> sequences and extension methods. Key points include:
- The .NET model uses deferred execution via IEnumerable<T> sequences and iterator blocks, avoiding intermediate collections and allowing multiple operations to be chained.
- Extension methods allow algorithms to be expressed via method chaining in a declarative way rather than using loops.
- IEnumerable<T> sequences are more readable, uniform, and composable than the STL model due to chaining and deferred execution.
This document summarizes new C# 3.0 features including implicit typing, lambda expressions, and extension methods. Implicit typing allows declaring variables without an explicit type using the 'var' keyword. Lambda expressions provide a concise way to pass code as arguments using the '=>' operator. Extension methods allow adding methods to existing types without modifying them by defining methods in static classes that take the extended type as the first parameter.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
CAKE: Sharing Slices of Confidential Data on BlockchainClaudio Di Ciccio
Presented at the CAiSE 2024 Forum, Intelligent Information Systems, June 6th, Limassol, Cyprus.
Synopsis: Cooperative information systems typically involve various entities in a collaborative process within a distributed environment. Blockchain technology offers a mechanism for automating such processes, even when only partial trust exists among participants. The data stored on the blockchain is replicated across all nodes in the network, ensuring accessibility to all participants. While this aspect facilitates traceability, integrity, and persistence, it poses challenges for adopting public blockchains in enterprise settings due to confidentiality issues. In this paper, we present a software tool named Control Access via Key Encryption (CAKE), designed to ensure data confidentiality in scenarios involving public blockchains. After outlining its core components and functionalities, we showcase the application of CAKE in the context of a real-world cyber-security project within the logistics domain.
Paper: https://doi.org/10.1007/978-3-031-61000-4_16
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
(3) cpp procedural programming_exercises
1. Exercises:
1. A program should ask the user for five integers. The program then outputs the sum
of squares. - The program resulting from the last exercise is the basis for this
exercise.
a) The individual actions in the program should be divided into meaningful
functions (e.g. AcceptUserInput(), Output(), ShowMenu() …). Readability and
avoidance of redundancy should be your primary targets in the implementation.
All functions should be defined in the namespace Exercises3 and need to be
separated into h and cpp files. The function declarations should be adorned with
comments.
Remarks:
• Everything that was left unspecified can be solved as you prefer.
• The usage of goto, C++11 extensions, as well as #pragmas is not allowed. The
usage of global variables is not allowed. You mustn't use the STL (e.g. std::string),
but std::cout, std::cin and belonging to manipulators can be used. You mustn't use
new and delete!
• Avoid magic numbers and use constants where possible.
• The results of the programming exercises need to be runnable applications! All
programs have to be implemented as console programs.
• The programs need to be robust, i.e. they should cope with erroneous input from
the user.
• You should be able to describe your programs after implementation. Comments are
mandatory.
• In documentations as well as in comments, strings or user interfaces make correct
use of language (spelling and grammar)!
• Don't send binary files (e.g. the contents of debug/release folders) with your
solutions! Do only send source and project files.
• Don't panic: In programming multiple solutions are possible.
• If you have problems use the Visual Studio help (F1) or the Xcode help, books and
the internet primarily.
• Of course you can also ask colleagues; but it is of course always better, if you find a
solution yourself.