This document discusses fundamentals of algorithms including:
- What algorithms are and their evolution from Persian mathematicians.
- The process of designing algorithms including defining inputs, outputs, and order of instructions.
- The need for algorithms to be correct according to their specifications and methods for confirming correctness.
- Iterative design issues such as use of loops, efficiency considerations, and estimating execution time.
- Algorithmic strategies like divide and conquer, backtracking, dynamic programming, and heuristics.
An algorithm is a tool for solving any computational problem. It may be defined as a sequence of finite,
precise and unambiguous instructions which are applied either to perform a computation or to solve a
computational problem. These instructions are applied on some raw data called the input, and the
solution of the problem produced is called the output.
Computer Science - Classification of Programming Languages
Programming Languages are broken down into High level and Low level languages. This slideshow shows how they are classified and explains low level and high level languages in depth.
FellowBuddy.com is an innovative platform that brings students together to share notes, exam papers, study guides, project reports and presentation for upcoming exams.
We connect Students who have an understanding of course material with Students who need help.
Benefits:-
# Students can catch up on notes they missed because of an absence.
# Underachievers can find peer developed notes that break down lecture and study material in a way that they can understand
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Coupling refers to the interdependence between software modules. There are several types of coupling from loose to tight, with the tightest being content coupling where one module relies on the internal workings of another. Cohesion measures how strongly related the functionality within a module is, ranging from coincidental to functional cohesion which is the strongest. Tight coupling and low cohesion can make software harder to maintain and reuse modules.
This document discusses software tools, defining them as system programs that interface programs with input/output data or help develop other programs. It describes two main types of software tools: tools for program development like program generators and editors, and user interface tools. The document then provides detailed explanations and examples of different tools used for program design, testing, debugging, documentation, and performance enhancement.
Explains Language Processors in deep, language processing activities are arises,what is program generation activities,fundamentals of lang. processors,Toy compiler,Grammar, LAPDTs Lex & Yacc
This document discusses fundamentals of algorithms including:
- What algorithms are and their evolution from Persian mathematicians.
- The process of designing algorithms including defining inputs, outputs, and order of instructions.
- The need for algorithms to be correct according to their specifications and methods for confirming correctness.
- Iterative design issues such as use of loops, efficiency considerations, and estimating execution time.
- Algorithmic strategies like divide and conquer, backtracking, dynamic programming, and heuristics.
An algorithm is a tool for solving any computational problem. It may be defined as a sequence of finite,
precise and unambiguous instructions which are applied either to perform a computation or to solve a
computational problem. These instructions are applied on some raw data called the input, and the
solution of the problem produced is called the output.
Computer Science - Classification of Programming Languages
Programming Languages are broken down into High level and Low level languages. This slideshow shows how they are classified and explains low level and high level languages in depth.
FellowBuddy.com is an innovative platform that brings students together to share notes, exam papers, study guides, project reports and presentation for upcoming exams.
We connect Students who have an understanding of course material with Students who need help.
Benefits:-
# Students can catch up on notes they missed because of an absence.
# Underachievers can find peer developed notes that break down lecture and study material in a way that they can understand
# Students can earn better grades, save time and study effectively
Our Vision & Mission â Simplifying Students Life
Our Belief â âThe great breakthrough in your life comes when you realize it, that you can learn anything you need to learn; to accomplish any goal that you have set for yourself. This means there are no limits on what you can be, have or do.â
Like Us - https://www.facebook.com/FellowBuddycom
Coupling refers to the interdependence between software modules. There are several types of coupling from loose to tight, with the tightest being content coupling where one module relies on the internal workings of another. Cohesion measures how strongly related the functionality within a module is, ranging from coincidental to functional cohesion which is the strongest. Tight coupling and low cohesion can make software harder to maintain and reuse modules.
This document discusses software tools, defining them as system programs that interface programs with input/output data or help develop other programs. It describes two main types of software tools: tools for program development like program generators and editors, and user interface tools. The document then provides detailed explanations and examples of different tools used for program design, testing, debugging, documentation, and performance enhancement.
Explains Language Processors in deep, language processing activities are arises,what is program generation activities,fundamentals of lang. processors,Toy compiler,Grammar, LAPDTs Lex & Yacc
This document discusses the process of algorithm design and analysis. It outlines 9 key techniques for solving problems algorithmically: 1) Understanding the problem, 2) Ascertaining computational capabilities, 3) Determining exact or approximate solutions, 4) Choosing appropriate data structures, 5) Using algorithm design techniques, 6) Specifying the algorithm, 7) Proving correctness, 8) Analyzing efficiency, and 9) Coding the algorithm. These techniques provide a systematic approach to developing procedural solutions to problems through specific instructions to obtain answers.
This document discusses principles of programming and software engineering. It describes the software development life cycle, which consists of nine phases: specification, design, risk analysis, verification, coding, testing, refining the solution, production, and maintenance. It also discusses problem solving through algorithms, data storage, object-oriented programming concepts like encapsulation and inheritance, and design techniques like top-down design and object-oriented design. The document emphasizes that modularity, ease of use, and fail-safe programming are important for developing quality software solutions.
The document provides an overview of principles of programming languages, including:
- Reasons for studying programming language concepts such as improved ability to learn new languages.
- Categories of programming languages including imperative, functional, logic, and object-oriented languages.
- Factors that influence language design such as computer architecture and programming methodologies.
- Methods of describing syntax including Backus-Naur Form and context-free grammars. Attribute grammars add semantic information to parse trees.
- Implementation methods for languages including compilation, interpretation, and hybrid systems.
This document provides an overview of computer programming, including what programming is, why we program, popular programming paradigms and languages. It discusses that programming involves instructing a computer to carry out tasks and is a creative process. Popular paradigms include procedural, structured, functional and object-oriented programming. Popular languages discussed include C, C++, Java, C#, PHP and Python. The document provides recommendations for learning resources and approaches for learning to program.
This document provides information about programming fundamentals including definitions of computer hardware, software, operating systems, compilers, interpreters, source code, and text editors. It discusses how computer hardware refers to physical components like the monitor, keyboard, and CPU, and how software includes programs that direct the computer's processor. It also summarizes the differences between compilers and interpreters in processing source code.
The document discusses algorithms, defining them as logical sequences of steps to solve problems and listing properties of good algorithms such as being simple, complete, correct, and having appropriate abstraction. It also provides examples of algorithms and outlines steps for developing algorithms, including analyzing the problem, designing a solution, implementing the program, testing it, and validating it works for all cases.
Agile Development | Agile Process ModelsAhsan Rahim
Â
Agile Development | Agile Process Models
Here you are going to know What is Agile Development & What are Agile Process Models for the development of Software Product.
What are different types of Agile Development, steps involve in Agile Development, XP, Scrum, Traditional Process Models with full text and animated description.
Software Process Models defines a distinct set of activities, actions, tasks, milestones, and work products that are required to engineer high-quality software...
For more knowledge watch full video...
Video URL:
https://youtu.be/3Lxnn0O3xaM
YouTube Channel URL:
https://www.youtube.com/channel/UCKVvceV1RGXLz0GeesbQnVg
Google+ Page URL:
https://plus.google.com/113458574960966683976/videos?_ga=1.91477722.157526647.1466331425
My Website Link:
http://appsdisaster.blogspot.com/
If you are interested in learning more about topics like this so Please don't forget to like, share, & Subscribe to us.
Introduction
The term problem solving is used in many disciplines, sometimes with different perspectives and
often with different terminologies. The problem-solving process starts with the problem
specification and end with a correct program.
The steps to follow in the problem-solving process are:
ďˇ Problem definition
ďˇ Problem Analysis
ďˇ Algorithm development
ďˇ Coding
ďˇ Testing & Debugging
ďˇ Documentation & Maintenance
The stages of analysis, design, programming, implementation and maintenance form the life cycle
of the system.
For most programming/scripting languages the concepts are all the same. The only thing that changes is the syntax in which it is written. Some languages may be easier to remember than others, but if you follow the basic guide line, it will make learning any programming language easier. This is in no way supposed to teach you everything about programming, just a general knowledge so when you do program you will understand what you are doing a little bit better.
Systems programming involves developing programs that interface computer systems with users and other programs. These programs include compilers, interpreters, and I/O routines. Systems programs must handle unpredictable events like errors and coordinate asynchronously executing programs. The document introduces concepts like syntax, semantics, domains, semantic gaps, and language processors like compilers and interpreters. It discusses how programming languages bridge gaps between application and execution domains.
C Programming Language is the most popular computer language and most used programming language till now. It is very simple and elegant language. This lecture series will give you basic concepts of structured programming language with C.
This document provides an overview of problem solving using computers. It discusses the 7 stages of problem solving: 1) problem analysis, 2) algorithm development, 3) flowcharting, 4) coding, 5) compilation and execution, 6) debugging and testing, and 7) documentation. It also covers computer programs, programming languages, and the basic structure of a C program, which typically includes documentation, include libraries, definitions, global declarations, the main function, and subprograms.
The document discusses various techniques for debugging software bugs, including gathering relevant information, forming and testing hypotheses about the cause, and strategies like tracing execution, simplifying tests, questioning assumptions, and cleaning up unused code. It also provides a checklist for determining the root cause of bugs and ensuring debugging efforts are focused on the right location. The goal of debugging is to understand why bugs occur so they can be removed and prevent future bugs through improved testing, risk management, and learning from past issues.
Interfacing With High Level Programming Language
High Level Programming Language
Categories of programming languages
Processing a High-Level Language Program
Advantages of high-level languages
Interface-Based Programming
Interfaces in Object Oriented Programming Languages
Implementing an Interface
The document discusses algorithms, providing definitions and examples of algorithms including Euclid's algorithm for computing the greatest common divisor. It also outlines properties that algorithms must have including finiteness, absence of ambiguity, defined sequence and inputs/outputs. Pseudocode is introduced as a way to express algorithms at a high level for human reading using basic logic structures like sequence, selection, and iteration.
The document discusses finite automata including nondeterministic finite automata (NFAs) and deterministic finite automata (DFAs). It provides examples of NFAs and DFAs that recognize particular strings, including strings containing certain substrings. It also gives examples of DFA state machines and discusses using finite automata to recognize regular languages.
n computer operating systems, demand paging is a method of virtual memory management. In a system that uses demand paging, the operating system copies a disk page into physical memory only if an attempt is made to access it and that page is not already in memory
It consists of CPU scheduling algorithms, examples, scheduling problems, realtime scheduling algorithms and issues. Multiprocessing and multicore scheduling.
The document provides an introduction to algorithms and their analysis. It defines an algorithm as a step-by-step procedure for solving a problem in a finite amount of time. The analysis of algorithms aims to predict the cost of an algorithm in terms of resources and performance. There are two main aspects of analyzing algorithmic performance - time complexity, which measures how fast an algorithm performs based on input size, and space complexity, which measures how much memory an algorithm requires. Common asymptotic notations used to represent time complexity include Big-O, Omega, and Theta notations. The time complexity of common algorithms like searching, sorting, and traversing data structures are discussed.
This document provides an overview of the Programming Principles course. It will meet for four lectures per week for 14 weeks, with classes on Tuesday, Wednesday, and Friday. There will be a practical session on Thursday and tests, assignments, presentations, and quizzes. The goal of the course is to teach problem solving skills and how to think like a computer scientist by using formal languages to represent ideas. Programming languages like Python will be used, and the document provides information on high level vs low level languages, compilers, interpreters, common programming elements, and debugging errors. It also includes instructions on downloading Python and the Gedit text editor.
2.2 Demonstrate the understanding of Programming Life CycleFrankie Jones
Â
The document discusses the 7 phases of the programming life cycle: (1) specify the problem, (2) analyze the problem, (3) design the algorithm, (4) implement the algorithm, (5) test and verify, (6) maintain and update, and (7) documentation. Each phase is explained in detail with examples provided. The first phase involves understanding the problem requirements. The second phase identifies inputs, outputs, and potential solutions. The third phase develops the step-by-step logic to solve the problem. The fourth phase writes the code. The fifth phase tests for bugs. The sixth phase modifies code for improvements or changes. And the seventh phase provides documentation for users and other programmers.
This document discusses the process of algorithm design and analysis. It outlines 9 key techniques for solving problems algorithmically: 1) Understanding the problem, 2) Ascertaining computational capabilities, 3) Determining exact or approximate solutions, 4) Choosing appropriate data structures, 5) Using algorithm design techniques, 6) Specifying the algorithm, 7) Proving correctness, 8) Analyzing efficiency, and 9) Coding the algorithm. These techniques provide a systematic approach to developing procedural solutions to problems through specific instructions to obtain answers.
This document discusses principles of programming and software engineering. It describes the software development life cycle, which consists of nine phases: specification, design, risk analysis, verification, coding, testing, refining the solution, production, and maintenance. It also discusses problem solving through algorithms, data storage, object-oriented programming concepts like encapsulation and inheritance, and design techniques like top-down design and object-oriented design. The document emphasizes that modularity, ease of use, and fail-safe programming are important for developing quality software solutions.
The document provides an overview of principles of programming languages, including:
- Reasons for studying programming language concepts such as improved ability to learn new languages.
- Categories of programming languages including imperative, functional, logic, and object-oriented languages.
- Factors that influence language design such as computer architecture and programming methodologies.
- Methods of describing syntax including Backus-Naur Form and context-free grammars. Attribute grammars add semantic information to parse trees.
- Implementation methods for languages including compilation, interpretation, and hybrid systems.
This document provides an overview of computer programming, including what programming is, why we program, popular programming paradigms and languages. It discusses that programming involves instructing a computer to carry out tasks and is a creative process. Popular paradigms include procedural, structured, functional and object-oriented programming. Popular languages discussed include C, C++, Java, C#, PHP and Python. The document provides recommendations for learning resources and approaches for learning to program.
This document provides information about programming fundamentals including definitions of computer hardware, software, operating systems, compilers, interpreters, source code, and text editors. It discusses how computer hardware refers to physical components like the monitor, keyboard, and CPU, and how software includes programs that direct the computer's processor. It also summarizes the differences between compilers and interpreters in processing source code.
The document discusses algorithms, defining them as logical sequences of steps to solve problems and listing properties of good algorithms such as being simple, complete, correct, and having appropriate abstraction. It also provides examples of algorithms and outlines steps for developing algorithms, including analyzing the problem, designing a solution, implementing the program, testing it, and validating it works for all cases.
Agile Development | Agile Process ModelsAhsan Rahim
Â
Agile Development | Agile Process Models
Here you are going to know What is Agile Development & What are Agile Process Models for the development of Software Product.
What are different types of Agile Development, steps involve in Agile Development, XP, Scrum, Traditional Process Models with full text and animated description.
Software Process Models defines a distinct set of activities, actions, tasks, milestones, and work products that are required to engineer high-quality software...
For more knowledge watch full video...
Video URL:
https://youtu.be/3Lxnn0O3xaM
YouTube Channel URL:
https://www.youtube.com/channel/UCKVvceV1RGXLz0GeesbQnVg
Google+ Page URL:
https://plus.google.com/113458574960966683976/videos?_ga=1.91477722.157526647.1466331425
My Website Link:
http://appsdisaster.blogspot.com/
If you are interested in learning more about topics like this so Please don't forget to like, share, & Subscribe to us.
Introduction
The term problem solving is used in many disciplines, sometimes with different perspectives and
often with different terminologies. The problem-solving process starts with the problem
specification and end with a correct program.
The steps to follow in the problem-solving process are:
ďˇ Problem definition
ďˇ Problem Analysis
ďˇ Algorithm development
ďˇ Coding
ďˇ Testing & Debugging
ďˇ Documentation & Maintenance
The stages of analysis, design, programming, implementation and maintenance form the life cycle
of the system.
For most programming/scripting languages the concepts are all the same. The only thing that changes is the syntax in which it is written. Some languages may be easier to remember than others, but if you follow the basic guide line, it will make learning any programming language easier. This is in no way supposed to teach you everything about programming, just a general knowledge so when you do program you will understand what you are doing a little bit better.
Systems programming involves developing programs that interface computer systems with users and other programs. These programs include compilers, interpreters, and I/O routines. Systems programs must handle unpredictable events like errors and coordinate asynchronously executing programs. The document introduces concepts like syntax, semantics, domains, semantic gaps, and language processors like compilers and interpreters. It discusses how programming languages bridge gaps between application and execution domains.
C Programming Language is the most popular computer language and most used programming language till now. It is very simple and elegant language. This lecture series will give you basic concepts of structured programming language with C.
This document provides an overview of problem solving using computers. It discusses the 7 stages of problem solving: 1) problem analysis, 2) algorithm development, 3) flowcharting, 4) coding, 5) compilation and execution, 6) debugging and testing, and 7) documentation. It also covers computer programs, programming languages, and the basic structure of a C program, which typically includes documentation, include libraries, definitions, global declarations, the main function, and subprograms.
The document discusses various techniques for debugging software bugs, including gathering relevant information, forming and testing hypotheses about the cause, and strategies like tracing execution, simplifying tests, questioning assumptions, and cleaning up unused code. It also provides a checklist for determining the root cause of bugs and ensuring debugging efforts are focused on the right location. The goal of debugging is to understand why bugs occur so they can be removed and prevent future bugs through improved testing, risk management, and learning from past issues.
Interfacing With High Level Programming Language
High Level Programming Language
Categories of programming languages
Processing a High-Level Language Program
Advantages of high-level languages
Interface-Based Programming
Interfaces in Object Oriented Programming Languages
Implementing an Interface
The document discusses algorithms, providing definitions and examples of algorithms including Euclid's algorithm for computing the greatest common divisor. It also outlines properties that algorithms must have including finiteness, absence of ambiguity, defined sequence and inputs/outputs. Pseudocode is introduced as a way to express algorithms at a high level for human reading using basic logic structures like sequence, selection, and iteration.
The document discusses finite automata including nondeterministic finite automata (NFAs) and deterministic finite automata (DFAs). It provides examples of NFAs and DFAs that recognize particular strings, including strings containing certain substrings. It also gives examples of DFA state machines and discusses using finite automata to recognize regular languages.
n computer operating systems, demand paging is a method of virtual memory management. In a system that uses demand paging, the operating system copies a disk page into physical memory only if an attempt is made to access it and that page is not already in memory
It consists of CPU scheduling algorithms, examples, scheduling problems, realtime scheduling algorithms and issues. Multiprocessing and multicore scheduling.
The document provides an introduction to algorithms and their analysis. It defines an algorithm as a step-by-step procedure for solving a problem in a finite amount of time. The analysis of algorithms aims to predict the cost of an algorithm in terms of resources and performance. There are two main aspects of analyzing algorithmic performance - time complexity, which measures how fast an algorithm performs based on input size, and space complexity, which measures how much memory an algorithm requires. Common asymptotic notations used to represent time complexity include Big-O, Omega, and Theta notations. The time complexity of common algorithms like searching, sorting, and traversing data structures are discussed.
This document provides an overview of the Programming Principles course. It will meet for four lectures per week for 14 weeks, with classes on Tuesday, Wednesday, and Friday. There will be a practical session on Thursday and tests, assignments, presentations, and quizzes. The goal of the course is to teach problem solving skills and how to think like a computer scientist by using formal languages to represent ideas. Programming languages like Python will be used, and the document provides information on high level vs low level languages, compilers, interpreters, common programming elements, and debugging errors. It also includes instructions on downloading Python and the Gedit text editor.
2.2 Demonstrate the understanding of Programming Life CycleFrankie Jones
Â
The document discusses the 7 phases of the programming life cycle: (1) specify the problem, (2) analyze the problem, (3) design the algorithm, (4) implement the algorithm, (5) test and verify, (6) maintain and update, and (7) documentation. Each phase is explained in detail with examples provided. The first phase involves understanding the problem requirements. The second phase identifies inputs, outputs, and potential solutions. The third phase develops the step-by-step logic to solve the problem. The fourth phase writes the code. The fifth phase tests for bugs. The sixth phase modifies code for improvements or changes. And the seventh phase provides documentation for users and other programmers.
This document provides an overview of communication and computer networks. It begins with a brief history of communication methods such as smoke signals and drums. It then introduces computer networks, distinguishing between wide area networks that connect multiple locations over long distances, and local/metropolitan area networks that operate within a limited geographical scope. The document discusses how networks allocate and share resources among users. It also outlines some of the challenges in integrating different network services and maintaining security.
1) El documento trata sobre la historia del dinero, desde sus orĂgenes en el trueque y el intercambio de mercancĂas hasta el desarrollo del papel moneda y el sistema monetario moderno. 2) Explica cĂłmo el oro y la plata fueron los primeros metales usados como dinero debido a sus propiedades, y cĂłmo el papel moneda eventualmente reemplazĂł al dinero metĂĄlico respaldado por reservas de metales preciosos. 3) TambiĂŠn analiza el surgimiento de la banca y los cheques, y cĂłmo el dinero se convirtiĂł
Superfunds Magazine - Ready to take on the worldChloe Tilley
Â
What is the true impact of globalisation on Australian equity investing? As globalisation and the rise of technology mean geographical isolation is no longer a barrier to offshore investment, Tim Samway contributes to Superfunds Magazine to take a look at where we are now and where we should be heading.
Dave McClure is leaving PayPal after 3 years of service. He contributed greatly to the company's culture and championed many projects. He will be missed for 10 reasons: he was integral to the Patrick and Dave Network, an avid player of Ultimate Frisbee and other games, asked insightful questions at meetings, generated business through advertising campaigns, sent prolific emails, provided valuable product rants and feedback, knew how to have fun with outrageous outfits and antics, was their favorite unpredictable poker player, and had an obsession with Tokyo Bananas. PayPal will not be the same without Dave.
This document provides an introduction to computer programming and computer science concepts. It discusses the basic parts of a computer including input, output, CPU, primary storage and auxiliary storage devices. It also defines hardware and software, and describes different types of computer languages like machine language, assembly language, and high-level languages. The document explains the process of creating and running computer programs, including writing code, compiling, linking, and executing. It provides details on algorithm development using pseudo code and flowcharts.
The document provides information on computer concepts including hardware components, operating systems, and programming languages. It discusses:
1) Operating systems like Windows, DOS, UNIX that manage computer hardware and allow users to run programs. The most popular is Microsoft Windows.
2) The history of operating systems including the development of DOS by Microsoft in 1981 and newer versions of Windows.
3) Programming languages are classified as low-level like machine language and assembly language, which are close to hardware, or high-level like COBOL and BASIC, which are easier for humans.
4) Compilers translate high-level languages to machine code while interpreters translate each line immediately before executing.
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.
Introduction to Computer Programming (general background)Chao-Lung Yang
Â
This document provides an introduction to programming concepts including computer programs, programming languages, execution of programs, and central processing units. It then discusses specific topics like .NET Framework, C#, and the Visual Studio integrated development environment. The key points are that computer programs are sets of instructions that direct computers, programming languages can be high-level or low-level, and Visual Studio is an IDE for developing applications using languages like C# within the .NET Framework.
There are four generations of programming languages:
1) First generation languages are machine code/binary, the only language computers can understand directly.
2) Second generation languages are assembly languages which provide mnemonics to represent machine code instructions.
3) Third generation languages like Java, C, and Basic are easier for humans to read and write. They are converted into machine code.
4) Fourth generation languages like SQL and Prolog are more focused on problem solving than implementation details. They are very platform independent.
This document provides an introduction to computer programming and programming languages. It discusses what a program and software are, and explains that programs are written using programming languages. It then covers different types of programming languages, including low-level languages like machine language and assembly language, as well as high-level languages like procedural languages, problem-oriented languages, and the concept of natural languages. Specific programming languages like C++ are presented as examples. The advantages and disadvantages of both low-level and high-level languages are summarized.
Assembly language is a low-level programming language that is closer to machine language. It uses symbolic codes that correspond directly to the processor's machine codes. Assembly language improves readability over machine language by using symbolic codes for instructions instead of binary. Assemblers translate assembly language codes into the binary machine language that processors can understand and execute. Assembly language is useful when speed, efficiency, or direct hardware access is important as it allows optimization at the machine level.
This document discusses different types of software and computer languages. It describes system software like operating systems, language translators, and utilities. It explains application software and differentiates between system and application software. It also covers low-level languages like machine code and assembly language and high-level languages. Finally, it summarizes different types of operating systems and their functions.
This document discusses different types of programming languages including machine language, assembly language, and high-level languages. It explains that machine language is directly understood by computers using binary, while assembly language uses symbols translated by an assembler. High-level languages like COBOL, FORTRAN and BASIC are easier for humans to read and are compiled into machine language. Compilers translate entire high-level programs at once, while interpreters translate and execute one statement at a time.
The document provides information about high level and low level programming languages. It defines low level languages as assembly language and machine language, which computers can directly understand as binary code. High level languages are closer to human language and include C++, SQL, Java, C#, FORTRAN, COBOL, C, JavaScript, PHP, and HTML. Each high level language is then briefly described in terms of its history, purpose, and basic syntax structure.
The document discusses different types of computer programming languages including machine language, assembly language, high-level languages, and object-oriented programming. It provides examples of some specific programming languages such as BASIC, HTML, Java, C++, FORTH, and LOGO. It also discusses key computer science concepts related to programming languages such as interpreted languages, compiled languages, authoring languages, and machine code.
This course introduces students to fundamental constructs of programming using generic program logic design tools like flowcharting and pseudo coding to formulate algorithmic solutions to basic computing problems.
C is a general-purpose programming language created by Dennis Ritchie at the Bell Laboratories in 1972.
It is a very popular language, despite being old. The main reason for its popularity is because it is a fundamental language in the field of computer science.
The document discusses computer programming in C language. It begins by explaining that C was created in 1972 as a system programming language to give programmers access to a machine's instruction set. It describes the major components of a computer as hardware, software, and liveware (users). It then covers the different types of programming languages as low-level (machine and assembly), high-level, and their characteristics. The document also discusses system software types like operating systems and utilities, and how programs are compiled from source code to machine code.
Assembly language is a low-level programming language that corresponds directly to a processor's machine language instructions. It uses symbolic codes that are assembled into machine-readable object code. Assembly languages are commonly used when speed, compact code size, or direct hardware interaction is important. Assemblers translate assembly language into binary machine code that can be directly executed by processors.
Visual programming (pemrograman visual) adalah pendekatan dalam pemrograman komputer yang memungkinkan pengguna untuk membuat program melalui antarmuka grafis yang intuitif dan mudah digunakan. Dalam pemrograman visual, pengguna menggambar diagram atau ikon yang merepresentasikan operasi atau fungsi yang ingin dilakukan oleh program, lalu menghubungkannya dengan garis atau panah untuk membentuk alur logika.
Pemrograman visual memiliki beberapa keuntungan dibandingkan dengan pemrograman teks tradisional. Pertama, pemrograman visual lebih mudah dipelajari oleh pemula karena antarmuka grafis yang intuitif. Kedua, pemrograman visual dapat membantu pengguna memvisualisasikan alur program secara keseluruhan, sehingga memudahkan pengguna untuk memahami bagaimana program bekerja. Ketiga, pemrograman visual dapat mempercepat proses pengembangan program karena menghilangkan kebutuhan untuk mengetik kode secara manual.
Contoh dari bahasa pemrograman visual termasuk Scratch, Blockly, dan LabVIEW.
This document introduces programming and the Flutter framework. It defines programming as using a formal language and instructions to automatically solve repetitive problems. It explains that programming languages allow communication with computers and devices. The document contrasts low-level languages like machine code that are difficult for humans versus high-level languages like Dart that are easier for humans. It defines a programming language and their uses. It also outlines the typical phases of the programming development life cycle: defining problems, designing algorithms, coding, testing, and deploying/maintaining programs. Finally, it introduces Flutter as an open source framework from Google for building beautiful multi-platform apps from a single codebase using the Dart programming language.
Computer languages allow humans to communicate with computers through programming. There are different types of computer languages at different levels of abstraction from machine language up to high-level languages. High-level languages are closer to human language while low-level languages are closer to machine-readable code. Programs written in high-level languages require compilers or interpreters to convert them to machine-readable code that can be executed by computers.
Similar to Introduction to programming principles languages (20)
Basic concepts of information technology and the internetFrankie Jones
Â
1. Basic concept and terminology of information technology
2. WHAT IS INFORMATION SYSTEM?
3. Evolution of computing technologies
4. What is Information Technology?
5. Emerging technologies in computing
6. Various Measures to secure data
7. ICT to solve problem
8. Importance of a Life-Long Learning to IT Professional
9. Impact of IT on Job Skills and Careers
10. Roles of Various Personnel in Computer Related Profession
Chapter 3 INSTRUCTION SET AND ASSEMBLY LANGUAGE PROGRAMMINGFrankie Jones
Â
3.1 UNDERSTANDING INSTRUCTION SET AND ASSEMBLY LANGUAGE
3.1.1 Define instruction set,machine and assembly language
3.1.2 Describe features and architectures of various type of microprocessor
3.1.3 Describe the Addressing Modes
3.2 APPLY ASSEMBLY LANGUAGE
3.2.1 Write simple program in assembly language
3.2.2 Tool in analyzing and debugging assembly language program
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help boost feelings of calmness and well-being.
The document discusses Boolean algebra and logic gates. It defines logic gates, explains their operations, and provides their logic symbols and truth tables. The types of logic gates covered are AND, OR, NOT, NOR, NAND, XOR, and XNOR. It also discusses sequential logic circuits like flip-flops, providing details on SR, JK, T, and D flip-flops including how to build them using logic gates. Additional topics covered include the difference between combinational and sequential logic circuits, Boolean theorems, sum-of-products and product-of-sums expressions, and the Karnaugh map method for simplifying logic expressions.
Chapter 2 Data Representation on CPU (part 1)Frankie Jones
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This topic introduces the numbering systems: decimal, binary, octal and hexadecimal. The topic covers the conversion between numbering systems, binary arithmetic, one's complement, two's complement, signed number and coding system. This topic also covers the digital logic components.
Chapter 1 computer hardware and flow of informationFrankie Jones
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FP203 Computer Organization
Chapter 1 computer hardware and flow of information
This topic covers the computer fundamentals, functional unit,
basic operational concepts and bus structure.
The document lists C operator precedence from highest to lowest, including the operator name, symbol, direction of evaluation, and precedence level. Parentheses have the highest precedence, followed by postfix increment and decrement. Logical AND and OR have higher precedence than equality checks. Assignment operators have the lowest precedence.
Type header file in c++ and its functionFrankie Jones
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This document lists common C++ header files and standard functions. It provides a brief description of functions in headers like cassert, cctype, cmath, cstdlib, cstring, and others. Functions like assert, isalnum, ceil, atoi, strcat, and cout are described. The document serves as a reference for commonly used C++ functions organized by header file.
This document is a multimedia storyboard template that allows the user to plan out a multimedia project screen by screen. The template includes sections to describe each screen, links between screens, sketches, functionality, background, audio, video, color schemes, text attributes, and stills/photos.
This document provides formulas for calculating hotel occupancy percentages and average room rates. It shows the calculations for occupancy percentage as the number of rooms occupied divided by the total hotel rooms multiplied by 100. The average room rate is calculated as the sum of each room multiplied by its rate, divided by the total rooms occupied. It also lists the forecasted occupancy, average room rate, rooms occupied, arrivals and departures for the last night.
Session 1 - Intro to Robotic Process Automation.pdfUiPathCommunity
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đ Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
đ Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
đť Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
đ Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
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Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
Weâll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
As AI technology is pushing into IT I was wondering myself, as an âinfrastructure container kubernetes guyâ, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefitâs both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Keywords: AI, Containeres, Kubernetes, Cloud Native
Event Link: https://meine.doag.org/events/cloudland/2024/agenda/#agendaId.4211
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Discover the Unseen: Tailored Recommendation of Unwatched ContentScyllaDB
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The session shares how JioCinema approaches ""watch discounting."" This capability ensures that if a user watched a certain amount of a show/movie, the platform no longer recommends that particular content to the user. Flawless operation of this feature promotes the discover of new content, improving the overall user experience.
JioCinema is an Indian over-the-top media streaming service owned by Viacom18.
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...Fwdays
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Direct losses from downtime in 1 minute = $5-$10 thousand dollars. Reputation is priceless.
As part of the talk, we will consider the architectural strategies necessary for the development of highly loaded fintech solutions. We will focus on using queues and streaming to efficiently work and manage large amounts of data in real-time and to minimize latency.
We will focus special attention on the architectural patterns used in the design of the fintech system, microservices and event-driven architecture, which ensure scalability, fault tolerance, and consistency of the entire system.
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
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This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
The Department of Veteran Affairs (VA) invited Taylor Paschal, Knowledge & Information Management Consultant at Enterprise Knowledge, to speak at a Knowledge Management Lunch and Learn hosted on June 12, 2024. All Office of Administration staff were invited to attend and received professional development credit for participating in the voluntary event.
The objectives of the Lunch and Learn presentation were to:
- Review what KM âisâ and âisnâtâ
- Understand the value of KM and the benefits of engaging
- Define and reflect on your âwhatâs in it for me?â
- Share actionable ways you can participate in Knowledge - - Capture & Transfer
"What does it really mean for your system to be available, or how to define w...Fwdays
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We will talk about system monitoring from a few different angles. We will start by covering the basics, then discuss SLOs, how to define them, and why understanding the business well is crucial for success in this exercise.
Must Know Postgres Extension for DBA and Developer during MigrationMydbops
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Mydbops Opensource Database Meetup 16
Topic: Must-Know PostgreSQL Extensions for Developers and DBAs During Migration
Speaker: Deepak Mahto, Founder of DataCloudGaze Consulting
Date & Time: 8th June | 10 AM - 1 PM IST
Venue: Bangalore International Centre, Bangalore
Abstract: Discover how PostgreSQL extensions can be your secret weapon! This talk explores how key extensions enhance database capabilities and streamline the migration process for users moving from other relational databases like Oracle.
Key Takeaways:
* Learn about crucial extensions like oracle_fdw, pgtt, and pg_audit that ease migration complexities.
* Gain valuable strategies for implementing these extensions in PostgreSQL to achieve license freedom.
* Discover how these key extensions can empower both developers and DBAs during the migration process.
* Don't miss this chance to gain practical knowledge from an industry expert and stay updated on the latest open-source database trends.
Mydbops Managed Services specializes in taking the pain out of database management while optimizing performance. Since 2015, we have been providing top-notch support and assistance for the top three open-source databases: MySQL, MongoDB, and PostgreSQL.
Our team offers a wide range of services, including assistance, support, consulting, 24/7 operations, and expertise in all relevant technologies. We help organizations improve their database's performance, scalability, efficiency, and availability.
Contact us: info@mydbops.com
Visit: https://www.mydbops.com/
Follow us on LinkedIn: https://in.linkedin.com/company/mydbops
For more details and updates, please follow up the below links.
Meetup Page : https://www.meetup.com/mydbops-databa...
ââTwitter: https://twitter.com/mydbopsofficial
Blogs: https://www.mydbops.com/blog/
â
âFacebook(Meta): https://www.facebook.com/mydbops/
What is an RPA CoE? Session 2 â CoE RolesDianaGray10
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In this session, we will review the players involved in the CoE and how each role impacts opportunities.
Topics covered:
⢠What roles are essential?
⢠What place in the automation journey does each role play?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
QA or the Highway - Component Testing: Bridging the gap between frontend appl...zjhamm304
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These are the slides for the presentation, "Component Testing: Bridging the gap between frontend applications" that was presented at QA or the Highway 2024 in Columbus, OH by Zachary Hamm.
Lee Barnes - Path to Becoming an Effective Test Automation Engineer.pdfleebarnesutopia
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So⌠you want to become a Test Automation Engineer (or hire and develop one)? While thereâs quite a bit of information available about important technical and tool skills to master, thereâs not enough discussion around the path to becoming an effective Test Automation Engineer that knows how to add VALUE. In my experience this had led to a proliferation of engineers who are proficient with tools and building frameworks but have skill and knowledge gaps, especially in software testing, that reduce the value they deliver with test automation.
In this talk, Lee will share his lessons learned from over 30 years of working with, and mentoring, hundreds of Test Automation Engineers. Whether youâre looking to get started in test automation or just want to improve your trade, this talk will give you a solid foundation and roadmap for ensuring your test automation efforts continuously add value. This talk is equally valuable for both aspiring Test Automation Engineers and those managing them! All attendees will take away a set of key foundational knowledge and a high-level learning path for leveling up test automation skills and ensuring they add value to their organizations.
What is an RPA CoE? Session 1 â CoE VisionDianaGray10
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In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
⢠The role of a steering committee
⢠How do the organizationâs priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
Introducing BoxLang : A new JVM language for productivity and modularity!Ortus Solutions, Corp
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Just like life, our code must adapt to the ever changing world we live in. From one day coding for the web, to the next for our tablets or APIs or for running serverless applications. Multi-runtime development is the future of coding, the future is to be dynamic. Let us introduce you to BoxLang.
Dynamic. Modular. Productive.
BoxLang redefines development with its dynamic nature, empowering developers to craft expressive and functional code effortlessly. Its modular architecture prioritizes flexibility, allowing for seamless integration into existing ecosystems.
Interoperability at its Core
With 100% interoperability with Java, BoxLang seamlessly bridges the gap between traditional and modern development paradigms, unlocking new possibilities for innovation and collaboration.
Multi-Runtime
From the tiny 2m operating system binary to running on our pure Java web server, CommandBox, Jakarta EE, AWS Lambda, Microsoft Functions, Web Assembly, Android and more. BoxLang has been designed to enhance and adapt according to it's runnable runtime.
The Fusion of Modernity and Tradition
Experience the fusion of modern features inspired by CFML, Node, Ruby, Kotlin, Java, and Clojure, combined with the familiarity of Java bytecode compilation, making BoxLang a language of choice for forward-thinking developers.
Empowering Transition with Transpiler Support
Transitioning from CFML to BoxLang is seamless with our JIT transpiler, facilitating smooth migration and preserving existing code investments.
Unlocking Creativity with IDE Tools
Unleash your creativity with powerful IDE tools tailored for BoxLang, providing an intuitive development experience and streamlining your workflow. Join us as we embark on a journey to redefine JVM development. Welcome to the era of BoxLang.
2. WEEK 3
LO 1
Explain the basic computer and programming fundamentals with
appropriate examples of language and technology.
3. Group activity:
orm a group with 6 members.
ist the following:
- Computer components
- Hardware
- Software
-Operating System
- Application
4. 1.1 Computer Fundamentals
omputer is a device capable of performing computations and making
logical decisions at speed millions (even billions) of times faster than
human beings can.
omputer systems will include the computer along with any software
and peripheral devices that are necessary to make the computer
function.
5. 1.1.1 Computer System Environment
The peripheral devices
5
Keyboard (Input Device)
Speaker
(Output
Device)
Hard disk (Secondary Storage)
Memory i.e. RAM & ROM
(Primary Storage)
Floppy disk (Secondary Storage)
CD ROM, DVD ROM
(Secondary Storage)
Mouse (Input Device)
Printer (Output Device)
Monitor
Screen
(Output
Device)
6. 1.1.1 Computer System Environment
The peripheral devices
ď° Input Devices
ďŽ Capture/receive input from users
ď° Central Processing Unit (CPU)
ďŽ Execute instructions; compute, compare and
transform data
ď° Primary Storage or Main Memory
ďŽ Permanent storage for data/programs
ď° Output Devices
ďŽ Produce output/result
ď° Secondary Storage Devices
ďŽ Temporary storage for data/programs
7. 1.1.1 Computer System Environment
The Software's
ď° Computer process data under the control
of sets of instructions called computer
programs.
ď° Also called as software programs.
ď° There are two types of software which
are operating system and application
software
8. Operating system
ď§ consisting of programs and data, that runs
on computers, manages computer hardware
resources, and provides common services
for execution of various application
software.
ď§ For hardware functions such as input and
output and memory allocation, the
operating system acts as an intermediary
between application programs and the
computer hardware
ď§ Ex: LINUX, UNIX, MICROSOFT WINDOWS
1.1.1 Computer System Environment
The Software's
9. Application software
ď§ is computer software designed to help
the user to perform singular or multiple
related specific tasks.
ď§ Ex: Microsoft office, Adobe Photoshop,
Windows Media Player
1.1.1 Computer System Environment
The Software's
10. 1.2 Evolution of Programming Language
n the computer industry, these abbreviations are widely
used to represent major steps or "generations" in the
evolution of programming languages.
12. 1.2.1 History of Programming Language and
Approaches
he history of computers starts out about 2000 years ago, at the
birth of the abacus, a wooden rack holding two horizontal wires
with beads strung on them.
abbage with different machine.
unch card by Hollerith.
lectronic digital computer
Stored programâ EDC
dvance in 1950âs
13. Group activity:
orm a group of 6 members.
ind information on the evolution of programming language.
ach group choose from the following topic:
- machine language
- assembly language
- 3rd
generation language
- 4th
generation language
- 5th
generation language
14. ⢠In the computer industry, these abbreviations are widely
used to represent major steps or "generations" in the
evolution of programming languages.
⢠Various categories of programming language and
technology :
a. Machine languages
b. Assembly languages
c. 3rd Generation Languages
d. 4th Generation Languages
e. 5th Generation Languages
1.2.2 Various Categories Of Programming
Language And Technology
15. st
Generation Language (GL1)
irst-generation language was (and still is) machine language
or the level of instructions and data that the processor is
actually given to work on (which in conventional computers
is a string of 0s and 1s).
nstruct computers to perform their most elementary
operations one at a time.
xample of 1GL:
1.2.2 Various Categories Of Programming
Language And Technology
+1300042774
+1400593419
+1200274927
16. nd
Generation Language
econd-generation language is assembler (sometimes called
"assembly") language.
typical 2GL instruction looks like this:
n assembler converts the assembler language statements into
machine language.
1.2.2 Various Categories Of Programming
Language And Technology
ADD 12,8
17. rd
Generation Language
hird-generation language is a "high-level" programming
language, such as PL/I, C, or Java.
ava language statements look like this:
1.2.2 Various Categories Of Programming
Language And Technology
public boolean handleEvent (Event evt) {
switch (evt.id) {
case Event.ACTION_EVENT: {
if ("Try me" .equald(evt.arg)) {
18. compiler converts the statements of a specific high-level
programming language into machine language.
In the case of Java, the output is called byte code, which is
converted into appropriate machine language by a Java virtual
machine that runs as part of an operating system platform.)
3GL language requires a considerable amount of programming
knowledge.
1.2.2 Various Categories Of Programming
Language And Technology
19. th
Generation Language
ourth-generation language is designed to be closer to natural
language than a 3GL language.
anguages for accessing databases are often described as 4GLs.
4GL language statement might look like this:
EXTRACT ALL CUSTOMERS WHERE
"PREVIOUS PURCHASES" TOTAL MORE THAN $1000
1.2.2 Various Categories Of Programming
Language And Technology
20. GL Features:
a) user friendly
b) portable and independent of operating systems
c) usable by non-programmers
d) having intelligent default options about what the user wants
e) allowing the user to obtain results fasts using minimum
requirement code generated with bug-free code from high-level
expressions
1.2.2 Various Categories Of Programming
Language And Technology
21. th
Generation Language
Fifth-generation language is programming that uses a visual or
graphical development interface to create source language that
is usually compiled with a 3GL or 4GL language compiler.
icrosoft, Borland, IBM, and other companies make 5GL visual
programming products for developing applications in Java, for
example.
isual programming allows you to easily envision object-oriented
programming class hierarchies and drag icons to assemble
program components.
1.2.2 Various Categories Of Programming
Language And Technology
22. 1.3 Fundamentals of Programming
Language
programming language is an artificial language designed to
communicate instructions to a machine, particularly a computer.
Programming languages can be used to create programs that control
the behavior of a machine and/or to express algorithms precisely.
23. 1.3.1 Terminologies in Programming Language
rogrammer is someone who writes computer software.
he term of computer programmer can refer to a specialist in one area
of computer programming or to a generalist who writes code for
many kinds of software.
24. 1.3.1 Terminologies in Programming
Language
rogram is a sequence of instructions written to perform a specified
task with a computer.
25. 1.3.1 Terminologies in Programming
Language
rogramming is the process of designing, writing, testing, debugging,
and maintaining the source code of computer programs.
26. 1.3.2 Language Translator
ssembler
- Assembler for an assembly language, a computer program to translate between
lower- level representations of computer programs.
ompiler
- A compiler is a computer program (or set of program) that transforms source
code written in a computer language (the source language) into another computer
language (the target language, often having a binary form known as object code).
ranslator/ Interpreter
- many high-level programming languages have the
option of using an interpreter instead of a compiler.
27. 1.3.3 Relate Programming Language in Real
Life
obot
and phone Application
TM Machine
nline Application