This covers details on Writing Pascal using Lazarus.
A teaching resource for students without any previous experience.
Originally written for AQA A level Computing (UK exam).
Course: Programming Languages and Paradigms:
A brief introduction to imperative programming principles: history, von neumann, BNF, variables (r-values, l-values), modifiable data structures, order of evaluation, static and dynamic scopes, referencing environments, call by value, control flow (sequencing, selection, iteration), ...
A programming language is a formal language used to describe computations. It consists of syntax, semantics, and tools like compilers or interpreters. Programming languages support different paradigms like procedural, functional, object-oriented, and logic-based approaches. Variables are named locations in memory that hold values and have properties like name, scope, type, and values.
C is a general purpose, high-level programming language that was developed in the 1970s. It is widely used to create operating systems and is the precursor to many popular languages today. C code is compiled into machine-readable code that can be run on different computer systems. C has features like control structures, looping statements, arrays, and macros that make it well-suited for both business and scientific applications. It is commonly used to write operating systems like UNIX, Windows, Mac OS, and Linux.
The document defines what a program, application, project, and programming language are. It states that a program is a precise sequence of steps to solve a problem, an application is a collection of programs, and a project is a collection of applications. It explains that a programming language is a vocabulary and set of rules for instructing a computer to perform tasks. The document also discusses high-level, low-level, and middle-level languages and provides examples of each. Finally, it provides an introduction to the C programming language, its history, reasons for learning it, and some definitions related to C.
The document provides an overview of the course "Principles of Programming Languages". It discusses the course structure, textbooks, and various topics that will be covered in the course, including what a programming language is, categories of languages, language implementation, programming domains, application domains, the role of programming languages, and goals and focus areas of language design. The course covers imperative, object-oriented, and advanced Java programming and includes case studies of various languages.
A compiler is a program that translates source code written in one language into an equivalent target code in another language. Source code is usually written in a high-level language like C++ or Java, while target code is in machine language or assembly language. Compilers allow programmers to write code in languages that are easier for humans to read and write compared to machine language. Developing compilers involves understanding how to break down and analyze source code, generate equivalent target code, and address complex issues like language design and parsing algorithms.
This document discusses computer hardware, software, programming languages, and how code is executed. It defines hardware as physical components like the motherboard, disk drive, and fans. Software consists of programs made of instruction sequences that hardware can understand. Programming languages have evolved from low-level machine code and assembly code to high-level languages like C, C++, Java, and PHP. Language translators like assemblers, compilers, and interpreters are used to translate source code into executable machine code that computers can understand.
Course: Programming Languages and Paradigms:
A brief introduction to imperative programming principles: history, von neumann, BNF, variables (r-values, l-values), modifiable data structures, order of evaluation, static and dynamic scopes, referencing environments, call by value, control flow (sequencing, selection, iteration), ...
A programming language is a formal language used to describe computations. It consists of syntax, semantics, and tools like compilers or interpreters. Programming languages support different paradigms like procedural, functional, object-oriented, and logic-based approaches. Variables are named locations in memory that hold values and have properties like name, scope, type, and values.
C is a general purpose, high-level programming language that was developed in the 1970s. It is widely used to create operating systems and is the precursor to many popular languages today. C code is compiled into machine-readable code that can be run on different computer systems. C has features like control structures, looping statements, arrays, and macros that make it well-suited for both business and scientific applications. It is commonly used to write operating systems like UNIX, Windows, Mac OS, and Linux.
The document defines what a program, application, project, and programming language are. It states that a program is a precise sequence of steps to solve a problem, an application is a collection of programs, and a project is a collection of applications. It explains that a programming language is a vocabulary and set of rules for instructing a computer to perform tasks. The document also discusses high-level, low-level, and middle-level languages and provides examples of each. Finally, it provides an introduction to the C programming language, its history, reasons for learning it, and some definitions related to C.
The document provides an overview of the course "Principles of Programming Languages". It discusses the course structure, textbooks, and various topics that will be covered in the course, including what a programming language is, categories of languages, language implementation, programming domains, application domains, the role of programming languages, and goals and focus areas of language design. The course covers imperative, object-oriented, and advanced Java programming and includes case studies of various languages.
A compiler is a program that translates source code written in one language into an equivalent target code in another language. Source code is usually written in a high-level language like C++ or Java, while target code is in machine language or assembly language. Compilers allow programmers to write code in languages that are easier for humans to read and write compared to machine language. Developing compilers involves understanding how to break down and analyze source code, generate equivalent target code, and address complex issues like language design and parsing algorithms.
This document discusses computer hardware, software, programming languages, and how code is executed. It defines hardware as physical components like the motherboard, disk drive, and fans. Software consists of programs made of instruction sequences that hardware can understand. Programming languages have evolved from low-level machine code and assembly code to high-level languages like C, C++, Java, and PHP. Language translators like assemblers, compilers, and interpreters are used to translate source code into executable machine code that computers can understand.
This document outlines the course content for a compilers design course. It will cover topics like lexical analysis using regular expressions and finite automata, syntax analysis using context free grammars and parsing trees, removing left recursion and left factoring, top-down and bottom-up parsing, semantic analysis, intermediate code generation, and code generation. The document also provides reasons for studying compilers, such as enhancing understanding of programming languages, gaining knowledge of machine executables, writing compilers and interpreters, and learning compiler theory and algorithms. It defines compilers and interpreters and compares them. Finally, it describes the different phases in a compiler like lexical analysis, syntax analysis, and code generation.
A programming language is a set of rules that allows humans to tell computers what operations to perform. Programming languages provide tools for developing executable models for problem domains and exist at various levels from high-level languages that are closer to human language to low-level machine code. Some of the principal programming paradigms include imperative, object-oriented, logic/declarative, and functional programming. Popular high-level languages include FORTRAN, COBOL, BASIC, C, C++, Java, and markup languages like HTML and XML.
This document discusses various aspects of programming languages and the program development cycle. It begins by describing low-level languages like machine language and assembly language, and high-level procedural languages like BASIC, COBOL, and C. It then discusses object-oriented languages like C++ and Java, visual programming languages, and other languages and tools. The document also covers aspects of web page development like HTML, scripting languages, and authoring software. It concludes by outlining the typical six-step program development cycle.
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.
The document provides an introduction to the C programming language. It discusses the basic building blocks of a computer including input, storage, processor and output. It then describes the basic structure of a C program including documentation, definition, global declaration and main sections. It provides examples of basic C programs and explains how to compile and execute a C program. Key aspects of C like data types, operators, control structures and functions are also introduced.
The document discusses the C programming language. It defines what a programming language and machine language are. It describes the different types of programming languages including machine language, assembly language, and high-level languages. It discusses how programs in high-level languages need to be translated before execution through assemblers, interpreters, or compilers. It also covers the basic concepts of C like its features, character set, constants, variables, and keywords.
All the Applications, Web pages, Programming Codes are written in a specific computer language. It’s interesting to see where computer languages on track and how they have evolved over time. There are now a series of computer languages to choose from and billions lines of code. Check out the Slides to see the computer language timeline and about code along the way.
Programming language design and implemenationAshwini Awatare
The document discusses key topics in programming language design and implementation including:
1. The importance of studying programming languages to improve problem solving skills, learn new languages, and understand language design.
2. An overview of different programming paradigms like imperative, functional, object-oriented, and logic-based languages.
3. Factors that influence language design like software architectures, programming environments, internationalization needs, and standardization.
The document discusses programming languages and their evolution. It begins by explaining that a programming language allows communication between humans and computers by telling computers what tasks to perform. It then summarizes the main types of programming languages:
1) Machine language uses binary and is directly understood by computers but is difficult for humans.
2) Assembly language uses mnemonics to make machine language more readable for programmers.
3) High-level languages use words and concepts familiar to humans, making programming accessible to non-experts. However, programs must be translated before computers can execute them.
4) Fourth generation languages provide even more human-friendly features like built-in database support.
C is a general purpose, procedural programming language developed in the 1970s. It was designed to be compiled using a relatively straightforward compiler, for efficiency and wide availability. C has become extremely widely used, serving as the basis for many other languages like C++, Java, and others. It is commonly used to write operating systems, as UNIX, Windows, Linux and MacOS were all originally written in C. Some key features of C include dynamic memory allocation, portability, efficiency, and support for structured programming with functions.
The document discusses various programming languages and program development tools. It differentiates between low-level languages like machine language and assembly language, and high-level procedural languages like C and COBOL. It also covers object-oriented languages like Java, C++, and C#, visual programming languages, and fourth generation languages (4GLs) like SQL. The document also lists the six common steps in program development and describes the basic control structures of sequence, selection, and repetition used in programming.
This document discusses programming paradigms and languages. It defines programming paradigms as techniques for thinking about programming and programming languages as tools for writing programs. The main paradigms covered are imperative, object-oriented, functional, and logic programming. The document also categorizes programming languages based on their level and generation, such as low-level languages like assembly and higher-level languages like Java. It provides a brief history of major programming languages and concludes by listing attributes of good programming languages.
C is a procedural programming language initially developed in the early 1970s. It was largely developed as a system programming language to write operating systems. Many later languages have borrowed syntax and features from C. C is a general purpose language commonly used to write operating systems and is well-suited for both system software and business applications due to its efficiency and low-level access to memory. It combines features of both high-level and low-level languages.
The document provides an overview of programming for robotics competitions, including what is needed, how to program using C language in the MPLAB environment, and how to associate programming elements with robot components and sensors. Key aspects covered include familiarizing yourself with important files like user_routines.c, programming commands like if/else statements and variables, and how programming maps to elements on the robot controller and operator interface.
Lect 1. introduction to programming languagesVarun Garg
A programming language is a set of rules that allows humans to communicate instructions to computers. There are many programming languages because they have evolved over time as better ways to design them have been developed. Programming languages can be categorized based on their generation or programming paradigm such as imperative, object-oriented, logic-based, and functional. Characteristics like writability, readability, reliability and maintainability are important qualities for programming languages.
The document describes the evolution of programming languages from machine languages to high-level languages. It discusses four programming paradigms: procedural, object-oriented, functional, and declarative. The procedural paradigm views a program as an active agent that manipulates passive data objects using procedures. Some key procedural languages mentioned include FORTRAN, COBOL, Pascal, C, and Ada.
1. The document introduces computer programming and discusses its importance in modern society. It touches on how computers have evolved to become indispensable tools that help solve problems across many domains.
2. It outlines the typical steps involved in programming: problem analysis, algorithm development, coding, testing and debugging. Key aspects like problem definition, input/output determination, and logical processing of data are important parts of problem analysis.
3. The document emphasizes that programming requires both logic and creativity to develop well-designed solutions. Proper documentation is also important for program maintenance and future modifications.
Course: Programming Languages and Paradigms:
This introduces concepts related to programming languate design: abstraction, a bit of history, the syntax, semantics and pragmatics of programming languages, languages as abstraction, thought shaper, simplifier and law enforcer.program verification, denotational and operational semantics
This covers details of the processes of compilation. A lot of extra teaching support is required with these.
Originally written for AQA A level Computing (UK exam).
This covers details on Writing Pascal using Lazarus.
A teaching resource for students who have covered the AS course (slides also available). Can be used for teaching or direct notes for students.
Originally written for AQA A level Computing (UK exam).
This document outlines the course content for a compilers design course. It will cover topics like lexical analysis using regular expressions and finite automata, syntax analysis using context free grammars and parsing trees, removing left recursion and left factoring, top-down and bottom-up parsing, semantic analysis, intermediate code generation, and code generation. The document also provides reasons for studying compilers, such as enhancing understanding of programming languages, gaining knowledge of machine executables, writing compilers and interpreters, and learning compiler theory and algorithms. It defines compilers and interpreters and compares them. Finally, it describes the different phases in a compiler like lexical analysis, syntax analysis, and code generation.
A programming language is a set of rules that allows humans to tell computers what operations to perform. Programming languages provide tools for developing executable models for problem domains and exist at various levels from high-level languages that are closer to human language to low-level machine code. Some of the principal programming paradigms include imperative, object-oriented, logic/declarative, and functional programming. Popular high-level languages include FORTRAN, COBOL, BASIC, C, C++, Java, and markup languages like HTML and XML.
This document discusses various aspects of programming languages and the program development cycle. It begins by describing low-level languages like machine language and assembly language, and high-level procedural languages like BASIC, COBOL, and C. It then discusses object-oriented languages like C++ and Java, visual programming languages, and other languages and tools. The document also covers aspects of web page development like HTML, scripting languages, and authoring software. It concludes by outlining the typical six-step program development cycle.
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.
The document provides an introduction to the C programming language. It discusses the basic building blocks of a computer including input, storage, processor and output. It then describes the basic structure of a C program including documentation, definition, global declaration and main sections. It provides examples of basic C programs and explains how to compile and execute a C program. Key aspects of C like data types, operators, control structures and functions are also introduced.
The document discusses the C programming language. It defines what a programming language and machine language are. It describes the different types of programming languages including machine language, assembly language, and high-level languages. It discusses how programs in high-level languages need to be translated before execution through assemblers, interpreters, or compilers. It also covers the basic concepts of C like its features, character set, constants, variables, and keywords.
All the Applications, Web pages, Programming Codes are written in a specific computer language. It’s interesting to see where computer languages on track and how they have evolved over time. There are now a series of computer languages to choose from and billions lines of code. Check out the Slides to see the computer language timeline and about code along the way.
Programming language design and implemenationAshwini Awatare
The document discusses key topics in programming language design and implementation including:
1. The importance of studying programming languages to improve problem solving skills, learn new languages, and understand language design.
2. An overview of different programming paradigms like imperative, functional, object-oriented, and logic-based languages.
3. Factors that influence language design like software architectures, programming environments, internationalization needs, and standardization.
The document discusses programming languages and their evolution. It begins by explaining that a programming language allows communication between humans and computers by telling computers what tasks to perform. It then summarizes the main types of programming languages:
1) Machine language uses binary and is directly understood by computers but is difficult for humans.
2) Assembly language uses mnemonics to make machine language more readable for programmers.
3) High-level languages use words and concepts familiar to humans, making programming accessible to non-experts. However, programs must be translated before computers can execute them.
4) Fourth generation languages provide even more human-friendly features like built-in database support.
C is a general purpose, procedural programming language developed in the 1970s. It was designed to be compiled using a relatively straightforward compiler, for efficiency and wide availability. C has become extremely widely used, serving as the basis for many other languages like C++, Java, and others. It is commonly used to write operating systems, as UNIX, Windows, Linux and MacOS were all originally written in C. Some key features of C include dynamic memory allocation, portability, efficiency, and support for structured programming with functions.
The document discusses various programming languages and program development tools. It differentiates between low-level languages like machine language and assembly language, and high-level procedural languages like C and COBOL. It also covers object-oriented languages like Java, C++, and C#, visual programming languages, and fourth generation languages (4GLs) like SQL. The document also lists the six common steps in program development and describes the basic control structures of sequence, selection, and repetition used in programming.
This document discusses programming paradigms and languages. It defines programming paradigms as techniques for thinking about programming and programming languages as tools for writing programs. The main paradigms covered are imperative, object-oriented, functional, and logic programming. The document also categorizes programming languages based on their level and generation, such as low-level languages like assembly and higher-level languages like Java. It provides a brief history of major programming languages and concludes by listing attributes of good programming languages.
C is a procedural programming language initially developed in the early 1970s. It was largely developed as a system programming language to write operating systems. Many later languages have borrowed syntax and features from C. C is a general purpose language commonly used to write operating systems and is well-suited for both system software and business applications due to its efficiency and low-level access to memory. It combines features of both high-level and low-level languages.
The document provides an overview of programming for robotics competitions, including what is needed, how to program using C language in the MPLAB environment, and how to associate programming elements with robot components and sensors. Key aspects covered include familiarizing yourself with important files like user_routines.c, programming commands like if/else statements and variables, and how programming maps to elements on the robot controller and operator interface.
Lect 1. introduction to programming languagesVarun Garg
A programming language is a set of rules that allows humans to communicate instructions to computers. There are many programming languages because they have evolved over time as better ways to design them have been developed. Programming languages can be categorized based on their generation or programming paradigm such as imperative, object-oriented, logic-based, and functional. Characteristics like writability, readability, reliability and maintainability are important qualities for programming languages.
The document describes the evolution of programming languages from machine languages to high-level languages. It discusses four programming paradigms: procedural, object-oriented, functional, and declarative. The procedural paradigm views a program as an active agent that manipulates passive data objects using procedures. Some key procedural languages mentioned include FORTRAN, COBOL, Pascal, C, and Ada.
1. The document introduces computer programming and discusses its importance in modern society. It touches on how computers have evolved to become indispensable tools that help solve problems across many domains.
2. It outlines the typical steps involved in programming: problem analysis, algorithm development, coding, testing and debugging. Key aspects like problem definition, input/output determination, and logical processing of data are important parts of problem analysis.
3. The document emphasizes that programming requires both logic and creativity to develop well-designed solutions. Proper documentation is also important for program maintenance and future modifications.
Course: Programming Languages and Paradigms:
This introduces concepts related to programming languate design: abstraction, a bit of history, the syntax, semantics and pragmatics of programming languages, languages as abstraction, thought shaper, simplifier and law enforcer.program verification, denotational and operational semantics
This covers details of the processes of compilation. A lot of extra teaching support is required with these.
Originally written for AQA A level Computing (UK exam).
This covers details on Writing Pascal using Lazarus.
A teaching resource for students who have covered the AS course (slides also available). Can be used for teaching or direct notes for students.
Originally written for AQA A level Computing (UK exam).
This covers details on Writing Pascal using Lazarus.
A teaching resource for students without any previous experience. Can be used for teaching or direct notes for students (Continued with notes for A2).
Originally written for AQA A level Computing (UK exam).
This covers details on Writing Pascal using Lazarus.
A teaching resource for students without any previous experience.
Originally written for AQA A level Computing (UK exam).
The document describes the compilation process from source code to executable program. It involves preprocessing the source code, compiling it, assembling the assembly code, and linking object files together along with libraries. The preprocessor handles includes and macros. The compiler parses and analyzes the code to generate an abstract syntax tree and then machine instructions. Object files are linked together and libraries are used to modularize reusable code. Modern compilers like Clang aim to be more modular and expose compiler internals through APIs to enable integration with other tools.
The document discusses debugging tools and techniques, focusing on GDB (the GNU Project debugger). It covers:
1. How debuggers work under the hood using ptrace to control programs and set breakpoints.
2. The basics of using GDB - starting and running programs, setting breakpoints, printing variables, and examining stack traces.
3. Additional GDB commands for inspection, as well as examples of inline assembly code, calling conventions, and disassembling code.
A compiler works in several stages to translate a program from a source language to an output language. It performs lexical analysis to break the source code into tokens, syntactical analysis to check syntax is correct, semantic analysis to ensure code makes logical sense, and optionally generates intermediate code before final code generation and optimization to produce the target program.
This document provides an introduction to computer programming concepts including:
- A programming language is a set of rules that allows communication between humans and computers to perform operations. Different languages have evolved for different types of programs and problem domains.
- Programs are written in high-level languages then compiled or interpreted into machine-readable code. Common language types include procedural, object-oriented, functional, and declarative languages.
- The programming process involves understanding the problem, designing an algorithm, writing source code, compiling for errors, debugging, and executing the program. Flowcharts can help design the program logic.
This document provides an introduction to programming languages. It discusses the evolution of programming languages from machine languages to modern languages. It describes key terminology like programmers, programs, and programming. It also covers different types of language translators like assemblers, compilers, and interpreters that translate human-readable code into machine-readable code. Finally, it categorizes programming languages into five generations from low-level machine languages to high-level languages that resemble human languages.
Programming languages allow people to create programs that instruct machines what to do. There are high-level and low-level programming languages. High-level languages are more understandable for programmers as they use common words, while low-level languages work more closely with hardware. Popular high-level languages include C, C++, Java, HTML, and XML, each used for different types of applications and programs.
A programming language is a vocabulary and set of rules that instructs a computer to perform tasks. High-level languages like BASIC, C, Java, and Pascal are easier for humans than machine language but still need to be converted. Conversion can be done through compiling, which directly translates to machine language, or interpreting, which executes instructions without compilation. Popular languages today include Python, C, Java, and C++.
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.
This document provides an introduction to programming languages. It discusses the different generations of programming languages from machine language to natural languages. Machine language is the lowest level and most difficult for humans, while higher level languages like C++ and Java are easier for programmers but require compilers. The document then focuses on C language, explaining its history, uses, data types, variables, constants, operators and I/O functions. It provides examples of declaring variables and using format specifiers in C.
This document provides an overview of key concepts related to programming languages. It discusses the definition of a programming language and the history and evolution of popular languages from 1951 to present. It covers programming language paradigms like procedural, object-oriented, functional, and logic-based languages. It also discusses factors that influence language design like efficiency, regularity, and issues in language translation. Finally, it summarizes the structure and operation of computers and how different programming models map to underlying computer architectures.
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.
A programming language allows people to create programs that instruct machines what to do. There are different levels of programming languages from high-level to low-level. High-level languages like C, C++, Java, HTML and XML are more understandable for programmers as they are further abstracted from hardware. Low-level languages work more closely with hardware and do not require compilation. The document then provides examples of programs in C, Java, HTML and CSS to illustrate these points.
This document discusses programming languages. It begins by asking what a programming language is and why there are so many types. It then defines a programming language as a set of rules that tells a computer what operations to perform. The document discusses the different types of programming languages like low-level languages close to machine code and high-level languages closer to English. It covers many popular programming languages from early generations like FORTRAN and COBOL to modern languages like C, C++, Java, and scripting languages. It concludes by discussing qualities of good programming languages like writability, readability, reliability and maintainability.
Lecture 1 introduction to language processorsRebaz Najeeb
The document provides an overview of the different phases of a compiler: lexical analysis, syntax analysis, semantic analysis, intermediate code generation, code optimization, and code generation. It discusses each phase briefly and provides examples to illustrate how a program is processed through each step of compilation.
The document discusses different types of computer programming languages including low-level languages like machine language and assembly language that are closer to hardware, and high-level languages like C++, Java, and Python that are easier for humans to read and write. It also covers basic programming concepts like variables, strings, statements, operators, and operands.
The document discusses various computer programming languages including:
- Low-level languages like machine language and assembly language that are closer to hardware.
- High-level languages like C++, Java, and Python that are easier for humans to read and write but require translation.
- Early languages like FORTRAN, COBOL, BASIC that were developed for scientific, business, and educational use respectively.
The document discusses key concepts related to programming languages including:
1. Programming languages are influenced by computer architecture, particularly the von Neumann architecture, and programming methodologies like structured programming and object-oriented programming.
2. There are different types of programming languages including imperative, functional, logic, and object-oriented languages.
3. When designing languages, there are trade-offs between factors like reliability and performance that must be considered.
4. Programming languages can be implemented via compilation, interpretation, or hybrid approaches like just-in-time compilation. Compilers translate to machine code while interpreters execute programs directly.
Presentation is about Traditional Two Pass Compiler architecture done by 4th year Computer Science and Technology(special) undergraduates at Uva Wellassa University, Sri Lanka
This document provides an introduction to the C programming language. It discusses the history and development of C, starting with its creation by Dennis Ritchie at Bell Labs in 1972. The document notes that C produces very efficient code and is widely used for systems programming tasks like operating systems, compilers, and device drivers. It also outlines the basic structure of a C program and covers fundamental C concepts like variables, data types, operators, functions, input/output, and decision making.
This document provides an introduction to the C programming language. It discusses the history of C, beginning with its creation by Brian Kernighan and Dennis Ritchie in 1972. C was designed to be a portable language and became widely popular. The document outlines the basics of C programming, including data types, operators, functions, libraries, and the development environment. It provides examples of simple C programs and discusses concepts like variables, memory, arithmetic, decision making, and increment/decrement operators.
This document provides an introduction to a course on compiler construction. It outlines the goals of the course as learning how to build a compiler for a programming language, use compiler construction tools, and write different grammar types. It also discusses the grading policy, required textbook, and defines what a compiler is and provides examples of different compilers. It gives an overview of the phases and process of compilation from high-level language to machine code.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Building RAG with self-deployed Milvus vector database and Snowpark Container...Zilliz
This talk will give hands-on advice on building RAG applications with an open-source Milvus database deployed as a docker container. We will also introduce the integration of Milvus with Snowpark Container Services.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.