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.
asic computer is an electronic device that can receive, store, process, and o...vaishalisharma125399
basic computer is an electronic device that can receive, store, process, and output data. It has hardware components like the central processing unit (CPU), memory, storage devices, and input/output devices.
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.
Programming languages are the foundation of software development, allowing
developers to create a wide range of applications, from websites to mobile apps
to complex enterprise systems. Understanding the basics of programming
languages is essential for anyone interested in technology and computer science.
Programming languages are the foundation of software development, allowing developers to create a wide range of applications, from websites to mobile apps to complex enterprise systems. Understanding the basics of programming languages is essential for anyone interested in technology and computer science.
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
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
The document provides an introduction to computer programming. It discusses what a computer is and its basic parts including hardware and software. It describes the internal and external hardware components. It also explains different types of programming languages from low-level to high-level languages. The document then discusses programming paradigms like procedural, structured, and object-oriented programming. It introduces concepts like algorithms, flowcharts, and the system development life cycle which involves phases from feasibility study to implementation and maintenance.
This document provides an overview of computers and programming languages. It discusses the evolution of computers from mainframes to personal computers. It also examines the hardware and software components of a computer system, including the CPU, memory, storage, inputs, outputs, and operating system software. The document then explores the evolution of programming languages from machine language to assembly language to high-level languages. It describes how a high-level language program is compiled and executed. Finally, it discusses problem-solving techniques, structured programming, and object-oriented programming.
This document provides an overview of programming paradigms and languages. It discusses batch programs which run without user interaction and process input data. It also discusses event-driven programs which respond to events like user clicks or system updates. The document lists many programming languages throughout history from machine language to modern languages like Java and C#. It defines programming languages and describes low-level languages that are close to machine code and high-level languages that are more human-readable. It also discusses language translators like compilers, interpreters, and assemblers that convert languages to machine code.
This document provides an introduction to the C programming language. It discusses the evolution of C from earlier languages like BCPL and B. C is described as a mid-level, structured programming language that is widely used and gives good machine efficiency while also being understandable by programmers. The document also defines key concepts like algorithms, flowcharts, pseudocode, ASCII/scan codes, and the differences between compilers and interpreters. It provides examples and questions to help learn about programming in C.
This document discusses different programming paradigms and languages. It describes batch programs which run without user interaction and event-driven programs which respond to user events. It lists many popular programming languages from Machine Language to Java and C#, and describes low-level languages that are close to machine code and high-level languages that are more human-readable. It also discusses language translators like compilers, interpreters, and assemblers and how they convert code between languages. Finally, it covers testing, debugging, and different types of errors in code like syntax, semantic, and run-time errors.
This document discusses different programming paradigms and languages. It describes batch programs which run without user interaction and event-driven programs which respond to user events. It lists many popular programming languages from Machine Language to Java and C#, and describes low-level languages that are close to machine code and high-level languages that are more human-readable. It also discusses the different types of language translators like compilers, interpreters, and assemblers and how they convert code between languages. Finally, it covers testing, debugging, and different types of errors in programming.
This document discusses algorithms, flowcharts, and pseudocode. It defines algorithms as a set of well-defined steps to solve a problem and notes they should be unambiguous and effective. Flowcharts are described as using shapes and arrows to visually represent algorithmic processes and common symbols are shown. Pseudocode is an informal language similar to English used to develop algorithms. Examples of each are provided, including an algorithm and flowchart to calculate the area of a circle from a radius input.
Here are the key points about flow-charts from the document:
- A flow-chart contains boxes/symbols that represent required operations and arrows to show the sequence.
- Common symbols include:
- Terminal symbols like start and end
- Process symbols for operations like assigning values, arithmetic, input/output
- Decision making symbols
- Looping symbols
- Subroutine/function symbols
- A flow-chart provides a visual representation of the logic and sequence of a program using standardized graphic symbols without requiring the use of a programming language.
So in summary, a flow-chart is a visual representation of an algorithm or process, using graphic symbols and arrows to depict the steps, decisions, and flow of data in a
This document provides an overview of computer languages and the programming process. It discusses machine language as the lowest-level language understood by computers. Higher-level languages like assembly and programming languages make programming easier for humans. It also describes the programming process, which involves defining problems, planning solutions, coding, testing, and documenting programs. Finally, it discusses different types of program translators like assemblers, compilers, and interpreters that translate human-readable code into machine-readable code.
The document discusses the fundamentals of programming with C++, including an introduction to programming concepts like algorithms and pseudocode, an overview of the software development life cycle and its steps, and getting started with C++ by setting up tools and environments and writing a simple "Hello World!" program. It provides background on C++ and explains why it is a widely used language for developing applications requiring performance and efficiency.
Programming requirements for beginning in software engineering.pptxTeddyDaka
This document provides an introduction to algorithms and programming. It begins by defining what a computer is and its basic components. It then discusses why computers are used and the need for programming. The document outlines the different types of programming languages and defines key terms like data, information, knowledge, programs, and programmers. It describes the basic steps involved in programming like requirements, analysis, design, testing, and documentation. Finally, it introduces algorithms and the common tools used to represent them, flowcharts and pseudocode, describing the basic symbols and syntax used for each.
This document discusses the evolution of programming languages from machine languages (1GL) to natural languages (5GL). It begins by defining a programming language as a formal notation system that describes computation in a readable and machine-readable form. It then categorizes generations of programming languages based on their level of abstraction, from low-level machine codes (1GL) to high-level languages (3GL) to domain-specific languages (DSL). The document provides examples and characteristics of languages from each generation.
This document provides an overview of programming languages by discussing:
1) The different types of programs and how programming languages communicate instructions to computers.
2) The levels of programming languages from machine language to assembly language to high-level languages.
3) The advantages and disadvantages of each language level as well as how language translators like compilers and interpreters work.
This document discusses programming and the program development process. It defines programming as giving a computer instructions to accomplish a task. The typical development process involves two phases: problem solving to design an algorithm of steps to solve the problem, and implementation to code the algorithm into a programming language. The key steps of program development are: 1) analyzing the problem, 2) designing the algorithm, 3) checking the algorithm, 4) coding it into a program, 5) testing the program, and 6) documenting and maintaining the program. Popular programming languages include C++, Visual Basic, C#, Java, and Python.
Introduction to programming language (basic)nharsh2308
This document provides an introduction to programming topics including algorithms, pseudocode, flowcharts, programming languages, compilers, interpreters, testing, debugging and documentation. It discusses the basic model of computation involving understanding requirements, inputs/outputs, designing program layout and output, selecting techniques, and testing. Algorithms are defined as ordered sequences of operations to solve a problem. Pseudocode and flowcharts are used to represent program logic without real syntax. Programming languages are categorized as low-level (machine code) or high-level, with compilers and interpreters used to translate high-level languages. Testing and debugging involve inputting data to find and fix errors. Documentation records the development process for users.
EN:
Codingo is a custom software development company providing digital solutions for small and medium-sized businesses. Our expertise covers mobile application development, web development, and the creation of advanced custom software systems. Whether it's a mobile app, mobile application, or progressive web application (PWA), we deliver scalable, tailored solutions to meet our clients’ needs.
Through our web application and custom website creation services, we help businesses build a strong and effective online presence. We also develop enterprise resource planning (ERP) systems, business management systems, and other unique software solutions that are fully aligned with each organization’s internal processes.
This presentation gives a detailed overview of our approach to development, the technologies we use, and how we support our clients in their digital transformation journey — from mobile software to fully customized ERP systems.
HU:
A Codingo Kft. egyedi szoftverfejlesztéssel foglalkozó vállalkozás, amely kis- és középvállalkozásoknak nyújt digitális megoldásokat. Szakterületünk a mobilalkalmazás fejlesztés, a webfejlesztés és a korszerű, egyedi szoftverek készítése. Legyen szó mobil app, mobil alkalmazás vagy akár progresszív webalkalmazás (PWA) fejlesztéséről, ügyfeleink mindig testreszabott, skálázható és hatékony megoldást kapnak.
Webalkalmazásaink és egyedi weboldal készítési szolgáltatásaink révén segítjük partnereinket abban, hogy online jelenlétük professzionális és üzletileg is eredményes legyen. Emellett fejlesztünk egyedi vállalatirányítási rendszereket (ERP), ügyviteli rendszereket és más, cégspecifikus alkalmazásokat is, amelyek az adott szervezet működéséhez igazodnak.
Bemutatkozó anyagunkban részletesen bemutatjuk, hogyan dolgozunk, milyen technológiákkal és szemlélettel közelítünk a fejlesztéshez, valamint hogy miként támogatjuk ügyfeleink digitális fejlődését mobil applikációtól az ERP rendszerig.
https://codingo.hu/
How I solved production issues with OpenTelemetryCees Bos
Ensuring the reliability of your Java applications is critical in today's fast-paced world. But how do you identify and fix production issues before they get worse? With cloud-native applications, it can be even more difficult because you can't log into the system to get some of the data you need. The answer lies in observability - and in particular, OpenTelemetry.
In this session, I'll show you how I used OpenTelemetry to solve several production problems. You'll learn how I uncovered critical issues that were invisible without the right telemetry data - and how you can do the same. OpenTelemetry provides the tools you need to understand what's happening in your application in real time, from tracking down hidden bugs to uncovering system bottlenecks. These solutions have significantly improved our applications' performance and reliability.
A key concept we will use is traces. Architecture diagrams often don't tell the whole story, especially in microservices landscapes. I'll show you how traces can help you build a service graph and save you hours in a crisis. A service graph gives you an overview and helps to find problems.
Whether you're new to observability or a seasoned professional, this session will give you practical insights and tools to improve your application's observability and change the way how you handle production issues. Solving problems is much easier with the right data at your fingertips.
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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
The document provides an introduction to computer programming. It discusses what a computer is and its basic parts including hardware and software. It describes the internal and external hardware components. It also explains different types of programming languages from low-level to high-level languages. The document then discusses programming paradigms like procedural, structured, and object-oriented programming. It introduces concepts like algorithms, flowcharts, and the system development life cycle which involves phases from feasibility study to implementation and maintenance.
This document provides an overview of computers and programming languages. It discusses the evolution of computers from mainframes to personal computers. It also examines the hardware and software components of a computer system, including the CPU, memory, storage, inputs, outputs, and operating system software. The document then explores the evolution of programming languages from machine language to assembly language to high-level languages. It describes how a high-level language program is compiled and executed. Finally, it discusses problem-solving techniques, structured programming, and object-oriented programming.
This document provides an overview of programming paradigms and languages. It discusses batch programs which run without user interaction and process input data. It also discusses event-driven programs which respond to events like user clicks or system updates. The document lists many programming languages throughout history from machine language to modern languages like Java and C#. It defines programming languages and describes low-level languages that are close to machine code and high-level languages that are more human-readable. It also discusses language translators like compilers, interpreters, and assemblers that convert languages to machine code.
This document provides an introduction to the C programming language. It discusses the evolution of C from earlier languages like BCPL and B. C is described as a mid-level, structured programming language that is widely used and gives good machine efficiency while also being understandable by programmers. The document also defines key concepts like algorithms, flowcharts, pseudocode, ASCII/scan codes, and the differences between compilers and interpreters. It provides examples and questions to help learn about programming in C.
This document discusses different programming paradigms and languages. It describes batch programs which run without user interaction and event-driven programs which respond to user events. It lists many popular programming languages from Machine Language to Java and C#, and describes low-level languages that are close to machine code and high-level languages that are more human-readable. It also discusses language translators like compilers, interpreters, and assemblers and how they convert code between languages. Finally, it covers testing, debugging, and different types of errors in code like syntax, semantic, and run-time errors.
This document discusses different programming paradigms and languages. It describes batch programs which run without user interaction and event-driven programs which respond to user events. It lists many popular programming languages from Machine Language to Java and C#, and describes low-level languages that are close to machine code and high-level languages that are more human-readable. It also discusses the different types of language translators like compilers, interpreters, and assemblers and how they convert code between languages. Finally, it covers testing, debugging, and different types of errors in programming.
This document discusses algorithms, flowcharts, and pseudocode. It defines algorithms as a set of well-defined steps to solve a problem and notes they should be unambiguous and effective. Flowcharts are described as using shapes and arrows to visually represent algorithmic processes and common symbols are shown. Pseudocode is an informal language similar to English used to develop algorithms. Examples of each are provided, including an algorithm and flowchart to calculate the area of a circle from a radius input.
Here are the key points about flow-charts from the document:
- A flow-chart contains boxes/symbols that represent required operations and arrows to show the sequence.
- Common symbols include:
- Terminal symbols like start and end
- Process symbols for operations like assigning values, arithmetic, input/output
- Decision making symbols
- Looping symbols
- Subroutine/function symbols
- A flow-chart provides a visual representation of the logic and sequence of a program using standardized graphic symbols without requiring the use of a programming language.
So in summary, a flow-chart is a visual representation of an algorithm or process, using graphic symbols and arrows to depict the steps, decisions, and flow of data in a
This document provides an overview of computer languages and the programming process. It discusses machine language as the lowest-level language understood by computers. Higher-level languages like assembly and programming languages make programming easier for humans. It also describes the programming process, which involves defining problems, planning solutions, coding, testing, and documenting programs. Finally, it discusses different types of program translators like assemblers, compilers, and interpreters that translate human-readable code into machine-readable code.
The document discusses the fundamentals of programming with C++, including an introduction to programming concepts like algorithms and pseudocode, an overview of the software development life cycle and its steps, and getting started with C++ by setting up tools and environments and writing a simple "Hello World!" program. It provides background on C++ and explains why it is a widely used language for developing applications requiring performance and efficiency.
Programming requirements for beginning in software engineering.pptxTeddyDaka
This document provides an introduction to algorithms and programming. It begins by defining what a computer is and its basic components. It then discusses why computers are used and the need for programming. The document outlines the different types of programming languages and defines key terms like data, information, knowledge, programs, and programmers. It describes the basic steps involved in programming like requirements, analysis, design, testing, and documentation. Finally, it introduces algorithms and the common tools used to represent them, flowcharts and pseudocode, describing the basic symbols and syntax used for each.
This document discusses the evolution of programming languages from machine languages (1GL) to natural languages (5GL). It begins by defining a programming language as a formal notation system that describes computation in a readable and machine-readable form. It then categorizes generations of programming languages based on their level of abstraction, from low-level machine codes (1GL) to high-level languages (3GL) to domain-specific languages (DSL). The document provides examples and characteristics of languages from each generation.
This document provides an overview of programming languages by discussing:
1) The different types of programs and how programming languages communicate instructions to computers.
2) The levels of programming languages from machine language to assembly language to high-level languages.
3) The advantages and disadvantages of each language level as well as how language translators like compilers and interpreters work.
This document discusses programming and the program development process. It defines programming as giving a computer instructions to accomplish a task. The typical development process involves two phases: problem solving to design an algorithm of steps to solve the problem, and implementation to code the algorithm into a programming language. The key steps of program development are: 1) analyzing the problem, 2) designing the algorithm, 3) checking the algorithm, 4) coding it into a program, 5) testing the program, and 6) documenting and maintaining the program. Popular programming languages include C++, Visual Basic, C#, Java, and Python.
Introduction to programming language (basic)nharsh2308
This document provides an introduction to programming topics including algorithms, pseudocode, flowcharts, programming languages, compilers, interpreters, testing, debugging and documentation. It discusses the basic model of computation involving understanding requirements, inputs/outputs, designing program layout and output, selecting techniques, and testing. Algorithms are defined as ordered sequences of operations to solve a problem. Pseudocode and flowcharts are used to represent program logic without real syntax. Programming languages are categorized as low-level (machine code) or high-level, with compilers and interpreters used to translate high-level languages. Testing and debugging involve inputting data to find and fix errors. Documentation records the development process for users.
EN:
Codingo is a custom software development company providing digital solutions for small and medium-sized businesses. Our expertise covers mobile application development, web development, and the creation of advanced custom software systems. Whether it's a mobile app, mobile application, or progressive web application (PWA), we deliver scalable, tailored solutions to meet our clients’ needs.
Through our web application and custom website creation services, we help businesses build a strong and effective online presence. We also develop enterprise resource planning (ERP) systems, business management systems, and other unique software solutions that are fully aligned with each organization’s internal processes.
This presentation gives a detailed overview of our approach to development, the technologies we use, and how we support our clients in their digital transformation journey — from mobile software to fully customized ERP systems.
HU:
A Codingo Kft. egyedi szoftverfejlesztéssel foglalkozó vállalkozás, amely kis- és középvállalkozásoknak nyújt digitális megoldásokat. Szakterületünk a mobilalkalmazás fejlesztés, a webfejlesztés és a korszerű, egyedi szoftverek készítése. Legyen szó mobil app, mobil alkalmazás vagy akár progresszív webalkalmazás (PWA) fejlesztéséről, ügyfeleink mindig testreszabott, skálázható és hatékony megoldást kapnak.
Webalkalmazásaink és egyedi weboldal készítési szolgáltatásaink révén segítjük partnereinket abban, hogy online jelenlétük professzionális és üzletileg is eredményes legyen. Emellett fejlesztünk egyedi vállalatirányítási rendszereket (ERP), ügyviteli rendszereket és más, cégspecifikus alkalmazásokat is, amelyek az adott szervezet működéséhez igazodnak.
Bemutatkozó anyagunkban részletesen bemutatjuk, hogyan dolgozunk, milyen technológiákkal és szemlélettel közelítünk a fejlesztéshez, valamint hogy miként támogatjuk ügyfeleink digitális fejlődését mobil applikációtól az ERP rendszerig.
https://codingo.hu/
How I solved production issues with OpenTelemetryCees Bos
Ensuring the reliability of your Java applications is critical in today's fast-paced world. But how do you identify and fix production issues before they get worse? With cloud-native applications, it can be even more difficult because you can't log into the system to get some of the data you need. The answer lies in observability - and in particular, OpenTelemetry.
In this session, I'll show you how I used OpenTelemetry to solve several production problems. You'll learn how I uncovered critical issues that were invisible without the right telemetry data - and how you can do the same. OpenTelemetry provides the tools you need to understand what's happening in your application in real time, from tracking down hidden bugs to uncovering system bottlenecks. These solutions have significantly improved our applications' performance and reliability.
A key concept we will use is traces. Architecture diagrams often don't tell the whole story, especially in microservices landscapes. I'll show you how traces can help you build a service graph and save you hours in a crisis. A service graph gives you an overview and helps to find problems.
Whether you're new to observability or a seasoned professional, this session will give you practical insights and tools to improve your application's observability and change the way how you handle production issues. Solving problems is much easier with the right data at your fingertips.
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Join Lucas Goncalves Machado, AJ Navarro and Darshil Shah for a focused session on leveraging AI in Marketo. In this session, you will:
Understand how to integrate AI at every stage of the lead lifecycle—from acquisition and scoring to nurturing and conversion
Explore the latest AI capabilities now available in Marketo and how they can enhance your campaigns
Follow step-by-step guidance for implementing AI-driven workflows in your own instance
Designed for marketing operations professionals who value clear, practical advice, you’ll leave with concrete strategies to put into practice immediately.
AEM User Group DACH - 2025 Inaugural Meetingjennaf3
🚀 AEM UG DACH Kickoff – Fresh from Adobe Summit!
Join our first virtual meetup to explore the latest AEM updates straight from Adobe Summit Las Vegas.
We’ll:
- Connect the dots between existing AEM meetups and the new AEM UG DACH
- Share key takeaways and innovations
- Hear what YOU want and expect from this community
Let’s build the AEM DACH community—together.
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Welcome to QA Summit 2025 – the premier destination for quality assurance professionals and innovators! Join leading minds at one of the top software testing conferences of the year. This automation testing conference brings together experts, tools, and trends shaping the future of QA. As a global International software testing conference, QA Summit 2025 offers insights, networking, and hands-on sessions to elevate your testing strategies and career.
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Slides for the presentation I gave at LambdaConf 2025.
In this presentation I address common problems that arise in complex software systems where even subject matter experts struggle to understand what a system is doing and what it's supposed to do.
The core solution presented is defining domain-specific languages (DSLs) that model business rules as data structures rather than imperative code. This approach offers three key benefits:
1. Constraining what operations are possible
2. Keeping documentation aligned with code through automatic generation
3. Making solutions consistent throug different interpreters
Why CoTester Is the AI Testing Tool QA Teams Can’t IgnoreShubham Joshi
The QA landscape is shifting rapidly, and tools like CoTester are setting new benchmarks for performance. Unlike generic AI-based testing platforms, CoTester is purpose-built with real-world challenges in mind—like flaky tests, regression fatigue, and long release cycles. This blog dives into the core AI features that make CoTester a standout: smart object recognition, context-aware test suggestions, and built-in analytics to prioritize test efforts. Discover how CoTester is not just an automation tool, but an intelligent testing assistant.
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Did you miss Team’25 in Anaheim? Don’t fret! Join our upcoming ACE where Atlassian Community Leader, Dileep Bhat, will present all the key announcements and highlights. Matt Reiner, Confluence expert, will explore best practices for sharing Confluence content to 'set knowledge fee' and all the enhancements announced at Team '25 including the exciting Confluence <--> Loom integrations.
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Even though at surface level ‘java.lang.OutOfMemoryError’ appears as one single error; underlyingly there are 9 types of OutOfMemoryError. Each type of OutOfMemoryError has different causes, diagnosis approaches and solutions. This session equips you with the knowledge, tools, and techniques needed to troubleshoot and conquer OutOfMemoryError in all its forms, ensuring smoother, more efficient Java applications.
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Java Architecture
Java follows a unique architecture that enables the "Write Once, Run Anywhere" capability. It is a robust, secure, and platform-independent programming language. Below are the major components of Java Architecture:
1. Java Source Code
Java programs are written using .java files.
These files contain human-readable source code.
2. Java Compiler (javac)
Converts .java files into .class files containing bytecode.
Bytecode is a platform-independent, intermediate representation of your code.
3. Java Virtual Machine (JVM)
Reads the bytecode and converts it into machine code specific to the host machine.
It performs memory management, garbage collection, and handles execution.
4. Java Runtime Environment (JRE)
Provides the environment required to run Java applications.
It includes JVM + Java libraries + runtime components.
5. Java Development Kit (JDK)
Includes the JRE and development tools like the compiler, debugger, etc.
Required for developing Java applications.
Key Features of JVM
Performs just-in-time (JIT) compilation.
Manages memory and threads.
Handles garbage collection.
JVM is platform-dependent, but Java bytecode is platform-independent.
Java Classes and Objects
What is a Class?
A class is a blueprint for creating objects.
It defines properties (fields) and behaviors (methods).
Think of a class as a template.
What is an Object?
An object is a real-world entity created from a class.
It has state and behavior.
Real-life analogy: Class = Blueprint, Object = Actual House
Class Methods and Instances
Class Method (Static Method)
Belongs to the class.
Declared using the static keyword.
Accessed without creating an object.
Instance Method
Belongs to an object.
Can access instance variables.
Inheritance in Java
What is Inheritance?
Allows a class to inherit properties and methods of another class.
Promotes code reuse and hierarchical classification.
Types of Inheritance in Java:
1. Single Inheritance
One subclass inherits from one superclass.
2. Multilevel Inheritance
A subclass inherits from another subclass.
3. Hierarchical Inheritance
Multiple classes inherit from one superclass.
Java does not support multiple inheritance using classes to avoid ambiguity.
Polymorphism in Java
What is Polymorphism?
One method behaves differently based on the context.
Types:
Compile-time Polymorphism (Method Overloading)
Runtime Polymorphism (Method Overriding)
Method Overloading
Same method name, different parameters.
Method Overriding
Subclass redefines the method of the superclass.
Enables dynamic method dispatch.
Interface in Java
What is an Interface?
A collection of abstract methods.
Defines what a class must do, not how.
Helps achieve multiple inheritance.
Features:
All methods are abstract (until Java 8+).
A class can implement multiple interfaces.
Interface defines a contract between unrelated classes.
Abstract Class in Java
What is an Abstract Class?
A class that cannot be instantiated.
Used to provide base functionality and enforce
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programming language(C++) chapter-one contd.ppt
1. Chapter 1
Introduction to Programming
The best way to start learning a programming language is by
writing a program!!!
2. What is a program?
• Computer programs, software programs, or
just programs are the instructions that tells
the computer what to do.
• Computer programming (programming or
coding) is the process of writing, testing,
debugging/troubleshooting, and maintaining
the source code of computer programs
3. Intro
• A computer program consists of two elements:
– Code – action
– Data – characteristics
• Computer programs (also know as source code)
is often written by professionals known as
Computer Programmers. Source code is written
in one of programming languages.
4. Programming language
• A programming language is an artificial language
that can be used to control the behavior of a
machine, particularly a computer.
• Programming languages, like natural language,
are defined by syntactic and semantic rules which
describe their structure and meaning respectively.
• The syntax of a language describes the possible
combinations of symbols that form a syntactically
correct program.
• The meaning given to a combination of symbols is
handled by semantics.
5. Programming language
• A main purpose of programming languages is to
provide instructions to a computer.
• Available programming languages come in a
variety of forms and types.
• Programming languages can be divided in to two
major categories:
– Low-level languages
– High-level languages
6. Low-level Languages
Machine language
It is the lowest level programming language in which all instructions and
data are written in a binary machine code, i.e. 0s and 1s.
Computers only understand one language and that is binary language or
the language of 1s and 0s.
•For example:
00101010 000000000001 000000000010
10011001 000000000010 000000000011
In the initial years of computer programming, all the instructions were
given in binary form. Although the computer easily understood these
programs, it proved too difficult for a normal human being to remember
all the instructions in the form of 0s and 1s.
Therefore, computers remained mystery to a common person until other
languages such as assembly language was developed, which were easier
to learn and understand.
7. Low-level language
Assembly language
correspondences symbolic instructions and executable machine codes
and was created to use letters (called mnemonics) to each machine
language instructions to make it easier to remember or write.
For example:
ADD A, B – adds two numbers in memory location A and B
However, no matter how close assembly language is to machine code,
computers still cannot understand it.
The assembly language must be translated to machine code by a separate
program called assembler.
The machine instruction created by the assembler from the original
program (source code) is called object code. Thus assembly languages are
unique to a specific computer (machine).
8. High-level Languages
• Use naturally understandable languages
• IDE’s are used for rapid development like C+
+, .Net environment
• they permitted a programmer to ignore many
low-level details of the computer's hardware.
• closer the syntax, rules, and mnemonics to
"natural language“.
• High-level languages are more English-like and,
therefore, make it easier for programmers to
"think" in the programming language.
9. High-level language
• High-level languages also require translation to
machine language before execution.
• This translation is accomplished by either a
compiler or an interpreter.
– Compilers translate the entire source code program before
execution.
– Interpreters translate source code programs one line at a
time. Interpreters are more interactive than compilers.
• E.g, FORTRAN (FORmula TRANslator), BASIC
(Bingers All Purpose Symbolic Instruction Code),
PASCAL, C, C++, Java.
10. Problem Solving Techniques
• Computer solves varieties of problems that can be
expressed in a finite number of steps leading to a
precisely defined goal by writing different programs.
• A program is not needed only to solve a problem but
also it should be reliable, (maintainable) portable and
efficient.
• In computer programming two facts are given more
weight:
– The first part focuses on defining the problem and logical
procedures to follow in solving it.
– The second introduces the means by which programmers
communicate those procedures to the computer system so
that it can be executed.
11. Cont’d
There are system analysis and design tools, particularly
flowchart and structure chart, that can be used to define
the problem in terms of the steps to its solution.
The programmer uses programming language to
communicate the logic of the solution to the computer.
Before a program is written, the programmer must clearly
understand what data are to be used, the desired result, and
the procedure to be used to produce the result.
The procedure, or solution, selected is referred to as an
algorithm.
An algorithm is defined as a step-by-step sequence of
instructions that must terminate and describe how the data
is to be processed to produce the desired outputs.
12. Algorithms
• Simply, Algorithm is a sequence of instructions.
• An algorithm is the plan for writing a program.
• Algorithms are a fundamental part of computing.
• The steps required for solving a problem are listed by
using an algorithm tool.
Algorithm tools make program solutions:
– more clear,
– more understandable,
– easier to remember.
• Algorithms are written according to rules so that other
programmers are also able to read and understand the
solution easily.
13. Algorithms
An algorithm must satisfy the following requirements:
Unambiguousness: i.e. it must not be ambiguous. Every step
in an algorithm must be clear as to what it is supposed to do and
how many times it is expected to be executed.
Generality: i.e. it should have to be general, not to be specific.
Correctness: it must be correct and must solve the problem for
which it is designed.
Finiteness: it must execute its steps and terminate in finite
time.
14. Tools of Algorithms
Pseudocodes is English like language for representing the solution
to a problem.
•Pseudo code is independent of any programming language. Pseudo
code (or a flow chart) is the first step in the process of planning the
solution to a problem (also called developing an algorithm).
•Pseudo code is a compact and informal high-level description of a
computer algorithm that uses the structural conventions of
programming languages, but typically omits details such as
subroutines, variables declarations and system-specific syntax.
•The purpose of using pseudocode is that it may be easier for humans
to read than conventional programming languages
•No standard for pseudocode syntax exists, as a program in
pseudocode is not an executable program.
15. Example: 1
#1. Write a program that obtains two integer
numbers from the user. It will print out the sum of
those numbers.
Pseudo code:
– Prompt the user to enter the first integer
– Prompt the user to enter a second integer
– Compute the sum of the two user inputs
– Display an output prompt that explains the answer as
the sum
– Display the result
16. Example: 2
#2. Write an algorithm to determine a student’s final
grade and indicate whether it is passing or failing. The
final grade is calculated as the average of four marks.
Pseudo code:
- Input a set of 4 marks
- Calculate their average by summing and dividing by 4
- if average is below 50
Print “FAIL”
else
Print “PASS”
17. Example: 2
#2. Write an algorithm to determine a student’s final
grade and indicate whether it is passing or failing. The
final grade is calculated as the average of four marks.
Detailed Algorithm
Step 1: Input M1,M2,M3,M4
Step 2: GRADE = (M1+M2+M3+M4)/4
Step 3: if (GRADE < 50) then
Print “FAIL”
else
Print “PASS”
endif
18. Flowcharts
• A flowchart is a graphical way of representing
the solution to a problem
• The advantage of flowchart is it doesn’t depend
on any particular programming language, so that
it can used, to translate an algorithm to more
than one programming language.
• Flowchart uses different symbols (geometrical
shapes) to represent different processes.
20. Example 1:
• Draw flow chart of an algorithm to add two
numbers and display their result.
• Algorithm description
– Read two numbers (A and B)
– Add A and B
– Assign the sum of A and B to C
– Display the result ( c)
23. Example 3
• Write an pseudo code and draw a flow chart to check a number
is negative or not.
• Algorithm description.
1. Start
2. Read a number x
3. If x is less than zero then
Write “Negative”
Else
Write “Not Negative”
4. stop
24. Example 4
• Algorithm description (Pseudo code)
1. Start
2. Initialize Sum to 0 and Counter to 1
2.1 If the Counter is less than or equal to 50
• Add Counter to Sum
• Increase Counter by 1
• Repeat step 2.1
2.2 Else
• Exit Loop
3. Write Sum
4. Stop
Write the algorithm description (Pseudo code) and Draw flow chart of an
algorithm to find the following sum.
Sum = 1+2+3+…. + 50
26. Write an algorithm and draw a flowchart that will read the two
sides of a rectangle and calculate its area.
Pseudocode
-Input the width (W) and Length
(L) of a rectangle
-Calculate the area (A) by
multiplying L with W
- Print A
Algorithm
Step 1: Input W,L
Step 2: A = L x W
Step 3: Print A
Example 5
27. Write an algorithm and draw a flowchart to calculate 2 to the power
of 4.
Algorithm:
Step 1: Base = 2
Step 2: Product = Base
Step 3: Product = Product * Base
Step 4: Product = Product * Base
Step 5: Product = Product * Base
Step 6: Print Product
Example 6
What happens if you want to calculate 2 to the power of 1000?
28. Quiz
1. Write an algorithm description (Pseudo code) and draw a flow
chart to check a number is even or odd.
Pseudocode
-Read input of a number
-If number mod = 0
-Print "Number is Even"
-Else
-Print "Number is Odd"
29. Quiz
1. Swap the contents of two variables using a
third variable.
30. Exercises
For each of the problems below, develop a flow chart
1) Receive a number and determine whether it is odd or even.
2) Obtain two numbers from the keyboard, and determine and display which (if either) is
the larger of the two numbers.
3) Receive 3 numbers and display them in ascending order from smallest to largest
4) Add the numbers from 1 to 100 and display the sum
5) Add the even numbers between 0 and any positive integer number given by the user.
6) Find the average of two numbers given by the user.
7) Find the average, maximum, minimum, and sum of three numbers given by the user.
8) Find the area of a circle where the radius is provided by the user.
9) Swap the contents of two variables using a third variable.
10) Swap the content of two variables without using a third variable.
11) Read an integer value from the keyboard and display a message indicating if this
number is odd or even.
12) Read 10 integers from the keyboard in the range 0 - 100, and count how many of
them are larger than 50, and display this result.
13) Take an integer from the user and display the factorial of that number
31. Assignment
31
Show pseudo code, algorithm and flowchart for each of the following questions
1: Write a program that calculates the sum of two input numbers and display the result.
2: Write a program to calculate the area of a circle and display the result. Use the formula: A=πr2
where Pi is approximately equal to 3.1416.
3: Write a program that computes the average of three input quizzes, and then display the result.
4: Write a program that converts the input Fahrenheit degree into its Celsius degree equivalent. Use
the formula: C= (5/9)*F-32.
5: Create a program to compute the volume of a sphere. Use the formula: V= (4/3)* πr3
where is pi
equal to 3.1416 approximately. The r3
is the radius. Display result.
6: Write a program that converts the input Celsius degree into its equivalent Fahrenheit degree. Use
the formula: F= (9/5) * C+32.
7: Write and algorithm and draw a flowchart to read an employee name , overtime hours worked ,
hours absent and determine the bonus payment
Use formula bonus = 50 if (overtime – 1/3 absent )>50
= 30 if (overtime – 1/3 absent )>30
= 0 if (overtime – 1/3 absent <30
due date : next week’s this class