History of Computer Programming Languages.pptxAliAbbas906043
The document discusses the history and development of programming languages from the first algorithm created by Ada Lovelace in 1843 to modern languages. It outlines several important events and milestones, including the first assembly language in 1949, FORTRAN in 1957, COBOL and ALGOL in 1959, BASIC and PASCAL in the 1960s-1970s, C and SQL in 1972, Ada in the 1980s, Java and JavaScript in 1995, and Swift in 2014. The document concludes that programming languages have come a long way from early machine codes to today's high-level, readable languages and will likely continue advancing in the future.
Programming languages were first developed to direct machines like looms and player pianos. Thousands of programming languages have since been created, mainly for computers. Early computer programming languages from the 1950s communicated instructions directly to the machine in machine code. John Mauchly developed one of the first high-level languages in 1949, though it still needed compiling. In 1952, Autocode was created at the University of Manchester using a compiler to automatically convert it to machine code, making it one of the first compiled high-level languages.
This document provides an overview of several programming languages including machine language, assembly language, high-level languages like FORTRAN, ALGOL, LISP, COBOL, BASIC, Pascal, ADA, SQL, Smalltalk, C, C++, C#, Python and Java. It describes the purpose and key features of each language such as their level of abstraction, syntax, data structures, and application.
BASIC (Beginner's All-Purpose Symbolic Instruction Code) was developed in 1963 as an educational programming language. It simplified communication between programmers and computers. BASIC programming teaches problem-solving and computational thinking skills. While originally using line numbers, it influenced computer science by raising the need for coding knowledge. R is a free statistical programming language and environment used for data analysis and graphics. It provides multiple packages for tasks like regression, time series analysis, and machine learning. UNIX was developed in the 1960s and became a widely used operating system, focusing on a command line interface. Linux is an open-source operating system based on the Linux kernel, providing multitasking and running on various devices.
This document discusses the evolution of programming languages and the emergence of object-oriented programming. It covers the major generations of programming languages from the 1950s to today, highlighting important developments such as the introduction of subroutines, block structure, data types, classes, and object-oriented frameworks. The document also examines the changing topologies and physical building blocks of programs as languages incorporated new structuring mechanisms like modules, objects, and classes. Finally, it defines the key concepts and foundations of object-oriented programming and the object model.
BASIC was originally created in 1963 as a teaching language to simplify programming. It has influenced computer science education and raised the need for coding knowledge. R is a free statistical programming language used for data analysis, modeling, and visualization. It includes many statistical and machine learning methods. UNIX was developed in the late 1960s and became widely used, while Linux is an open-source OS inspired by UNIX. Both operate using commands in a terminal rather than a graphical user interface.
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.
The document discusses the BASIC programming language. It was one of the earliest high-level programming languages developed in the 1960s. It was designed to be simple and easy to learn, making it popular among non-experts. The language includes English keywords like INPUT and PRINT to make it accessible to those without programming experience. It has been widely used in business applications and helped launch the personal computer revolution.
History of Computer Programming Languages.pptxAliAbbas906043
The document discusses the history and development of programming languages from the first algorithm created by Ada Lovelace in 1843 to modern languages. It outlines several important events and milestones, including the first assembly language in 1949, FORTRAN in 1957, COBOL and ALGOL in 1959, BASIC and PASCAL in the 1960s-1970s, C and SQL in 1972, Ada in the 1980s, Java and JavaScript in 1995, and Swift in 2014. The document concludes that programming languages have come a long way from early machine codes to today's high-level, readable languages and will likely continue advancing in the future.
Programming languages were first developed to direct machines like looms and player pianos. Thousands of programming languages have since been created, mainly for computers. Early computer programming languages from the 1950s communicated instructions directly to the machine in machine code. John Mauchly developed one of the first high-level languages in 1949, though it still needed compiling. In 1952, Autocode was created at the University of Manchester using a compiler to automatically convert it to machine code, making it one of the first compiled high-level languages.
This document provides an overview of several programming languages including machine language, assembly language, high-level languages like FORTRAN, ALGOL, LISP, COBOL, BASIC, Pascal, ADA, SQL, Smalltalk, C, C++, C#, Python and Java. It describes the purpose and key features of each language such as their level of abstraction, syntax, data structures, and application.
BASIC (Beginner's All-Purpose Symbolic Instruction Code) was developed in 1963 as an educational programming language. It simplified communication between programmers and computers. BASIC programming teaches problem-solving and computational thinking skills. While originally using line numbers, it influenced computer science by raising the need for coding knowledge. R is a free statistical programming language and environment used for data analysis and graphics. It provides multiple packages for tasks like regression, time series analysis, and machine learning. UNIX was developed in the 1960s and became a widely used operating system, focusing on a command line interface. Linux is an open-source operating system based on the Linux kernel, providing multitasking and running on various devices.
This document discusses the evolution of programming languages and the emergence of object-oriented programming. It covers the major generations of programming languages from the 1950s to today, highlighting important developments such as the introduction of subroutines, block structure, data types, classes, and object-oriented frameworks. The document also examines the changing topologies and physical building blocks of programs as languages incorporated new structuring mechanisms like modules, objects, and classes. Finally, it defines the key concepts and foundations of object-oriented programming and the object model.
BASIC was originally created in 1963 as a teaching language to simplify programming. It has influenced computer science education and raised the need for coding knowledge. R is a free statistical programming language used for data analysis, modeling, and visualization. It includes many statistical and machine learning methods. UNIX was developed in the late 1960s and became widely used, while Linux is an open-source OS inspired by UNIX. Both operate using commands in a terminal rather than a graphical user interface.
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.
The document discusses the BASIC programming language. It was one of the earliest high-level programming languages developed in the 1960s. It was designed to be simple and easy to learn, making it popular among non-experts. The language includes English keywords like INPUT and PRINT to make it accessible to those without programming experience. It has been widely used in business applications and helped launch the personal computer revolution.
The history of coding can be traced back to ancient times, when humans first began developing systems to record and communicate information. However, the modern history of coding, as we know it today, begins with the advent of computers in the mid-20th century. To learn more about coding, its history and best coding classes, look out for best coding institutes in Pitampura.
https://medium.com/@bestcodingclassesdelhi/best-coding-classes-in-pitampura-b85759a0edaa
Unit 12 section 1 - computer programmingdlwadsworth
This document discusses the history of computer programming and programming languages from the 1940s to present. It describes how programming has evolved from entering instructions by hand using panel switches, to using assembly languages which were translated to machine code, to the development of high-level languages like FORTRAN, COBOL, and LISP in the 1950s. Important programming languages from each decade like C, BASIC, Pascal, C++, Perl, and Java are highlighted. The transition to object-oriented programming in the 1980s and web-based programming in the 1990s represented major innovations.
A computer is an electronic device that can store, retrieve, and process data based on a set of instructions. It works by accepting digital data as input, processing it based on programmed instructions, and generating output. Modern computers come in various sizes but all utilize hardware components like processors, memory, and storage as well as software programs and operating systems to perform tasks. While early computers were enormous, modern technology has made computers dramatically smaller and more powerful.
Programming involves instructing a computer to perform tasks through the use of programming languages. A programmer develops programs by solving problems, translating solutions into computer language code, testing, and debugging. Programming languages provide sets of instructions to computers. Popular general purpose languages include C, C++, Java, and Python. Visual Basic and .NET Framework are Microsoft technologies that make programming easier through graphical interfaces and memory management.
Guide to programming using object oriented languages such as java, python, c, c++ among other programming languages that focus on tying data closely to the function that operates on it rather than procedural oriented programming.
The document provides a history of programming languages from the 1940s to the projected year 2100. It discusses early pioneers and the first programming language as well as the evolution of programming languages throughout each decade. Popular modern languages discussed include Python, Java, R, Julia, Lisp, JavaScript, C++, and Mojo in the context of artificial intelligence and machine learning. The document takes a high-level view of the evolution of programming over eight decades from the 1940s to 2000s and looks ahead to future trends.
The document provides a detailed history of programming languages from the 1940s to the projected future. It discusses the evolution of early machine codes and pseudocodes in the 1940s-1950s that paved the way for higher-level languages. Major milestones included the introduction of FORTRAN in 1957, which was one of the first high-level languages, followed by an explosion of new languages in the 1960s. The 1970s saw a focus on simplicity and abstraction with languages like Pascal. Object-oriented programming emerged in the 1980s with C++ and Smalltalk. The rise of the internet in the 1990s drove increased use of scripting languages and the creation of Java. Looking ahead, the future remains uncertain but programming continues
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.
A Short Communication On Computer Programming Languages In Modern EraKatie Naple
This document provides an overview of computer programming languages throughout history. It discusses how programming languages have evolved from machine languages to modern high-level languages. Key points include:
1) Programming languages have developed from low-level machine languages and assembly languages to modern high-level languages to simplify programming and communication between humans and computers.
2) Popular modern languages include C++, Java, Python, and JavaScript, which are often used to build web applications.
3) Programming languages continue to be developed to meet new needs, such as languages for scientific computing, business applications, education, and more specialized domains.
This document discusses the evolution of programming languages from early machine languages to modern higher-level languages. It begins with an introduction to human and computer languages. It then covers the development of machine languages, assembly languages, and higher-level languages like FORTRAN and COBOL. The document discusses the advantages of each generation of languages and examples of languages from the 1950s to modern times.
The document summarizes the evolution of computer systems from ancient calculating tools to modern AI-powered computers. It describes abacuses and early mechanical calculating machines, followed by the development of programmable digital computers in the 1940s using vacuum tubes. The first generation of computers used vacuum tubes, were huge and expensive. Transistor-based second generation computers were smaller and more efficient. Integrated circuits were used in third generation computers, making them smaller and faster. Fourth generation computers introduced graphical user interfaces and networks. Fifth generation computers began incorporating artificial intelligence capabilities like natural language processing and parallel processing. The document also covers computer languages from low-level machine code to high-level languages, and different types of computer software.
Unit 4 Assignment 1 Comparative Study Of Programming...Carmen Sanborn
- The goal is to design a new programming language by combining common qualities from two existing languages.
- When designing a new language, it is important to consider aspects like syntax, semantics, data types, control structures, modularity, and libraries/frameworks.
- The language design should aim to take useful features from other languages while avoiding their shortcomings to create a language that is efficient, readable, and meets modern programming needs.
Lesson 1-3 Fundamentals of Programming.pptxDysRobles
Here are the conversions:
11001 - Binary to Decimal = 49
165 - Decimal to Binary = 10100001
Decimal to Octal = 251
Decimal to Hexadecimal = A5
566 - Decimal to Binary = 111000010
Decimal to Octal = 1322
Decimal to Hexadecimal = 23A
1CC2 - Hexadecimal to Decimal = 7322
Hexadecimal to Binary = 00011100010010110
Hexadecimal to Octal = 4322
The document provides background information on programming languages and their history. It discusses early pioneers in computer programming such as Ada Lovelace, Herman Hollerith, and Konrad Zuse. It outlines the development of many popular modern programming languages such as Fortran, COBOL, BASIC, Pascal, C, C++, Java, PHP, JavaScript, Python, Ruby, and others, describing their key features and common uses. Ada Lovelace is noted as creating the first computer program in 1843 for Charles Babbage's analytical engine.
Programming involves writing instructions for a computer in a language it can understand. Programming languages allow humans to write programs for tasks like creating games and applications. The document discusses several popular programming languages including Java, Logo, FORTRAN, BASIC, C, Pascal, and Assembly and provides brief descriptions of each language and its uses.
Grade 10 introduction and history of programmingRafael Balderosa
Computer programming involves writing instructions to enable computers to perform processes. Programming languages allow humans to communicate with computers through specific sets of words, symbols, and codes. Some of the earliest programming languages included FORTRAN, COBOL, ALGOL, BASIC, PL/1, Pascal, and C. Many modern languages like C++, Java, and Visual Basic were influenced by these early languages and were created to serve different purposes like systems programming, business applications, and building graphical user interfaces.
The different kind of programming languageMd Amran
The document describes several popular programming languages:
C++ was developed in the 1980s as an extension of C that added object-oriented programming capabilities. Objective-C is based on C and was developed in the 1980s, becoming the main language for Apple software. Visual Basic and Visual C# were introduced by Microsoft in the 1990s/2000s to simplify Windows application development and support object-oriented programming. PHP and JavaScript are widely used scripting languages, with PHP used on websites like Wikipedia and Facebook and JavaScript used for web page interactivity. Ruby on Rails combines the Ruby language with a web framework and was used to build Twitter's interface. Scala uses object-oriented and functional paradigms and integrates
A History of Computer Programming Languages.pdfSohaib Roomi
- The document provides a history of computer programming languages from Charles Babbage's difference engine in 1822 to modern languages like C. It describes how early languages involved physically rewiring computers for each program and how John Von Neumann developed the concept of stored programs in 1945, allowing computers to be reprogrammed more easily. It then summarizes the development of many important early languages like FORTRAN, COBOL, LISP, ALGOL, and Pascal through the 1970s and how C became widely popular in the 1970s as it was developed alongside Unix.
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).
The history of coding can be traced back to ancient times, when humans first began developing systems to record and communicate information. However, the modern history of coding, as we know it today, begins with the advent of computers in the mid-20th century. To learn more about coding, its history and best coding classes, look out for best coding institutes in Pitampura.
https://medium.com/@bestcodingclassesdelhi/best-coding-classes-in-pitampura-b85759a0edaa
Unit 12 section 1 - computer programmingdlwadsworth
This document discusses the history of computer programming and programming languages from the 1940s to present. It describes how programming has evolved from entering instructions by hand using panel switches, to using assembly languages which were translated to machine code, to the development of high-level languages like FORTRAN, COBOL, and LISP in the 1950s. Important programming languages from each decade like C, BASIC, Pascal, C++, Perl, and Java are highlighted. The transition to object-oriented programming in the 1980s and web-based programming in the 1990s represented major innovations.
A computer is an electronic device that can store, retrieve, and process data based on a set of instructions. It works by accepting digital data as input, processing it based on programmed instructions, and generating output. Modern computers come in various sizes but all utilize hardware components like processors, memory, and storage as well as software programs and operating systems to perform tasks. While early computers were enormous, modern technology has made computers dramatically smaller and more powerful.
Programming involves instructing a computer to perform tasks through the use of programming languages. A programmer develops programs by solving problems, translating solutions into computer language code, testing, and debugging. Programming languages provide sets of instructions to computers. Popular general purpose languages include C, C++, Java, and Python. Visual Basic and .NET Framework are Microsoft technologies that make programming easier through graphical interfaces and memory management.
Guide to programming using object oriented languages such as java, python, c, c++ among other programming languages that focus on tying data closely to the function that operates on it rather than procedural oriented programming.
The document provides a history of programming languages from the 1940s to the projected year 2100. It discusses early pioneers and the first programming language as well as the evolution of programming languages throughout each decade. Popular modern languages discussed include Python, Java, R, Julia, Lisp, JavaScript, C++, and Mojo in the context of artificial intelligence and machine learning. The document takes a high-level view of the evolution of programming over eight decades from the 1940s to 2000s and looks ahead to future trends.
The document provides a detailed history of programming languages from the 1940s to the projected future. It discusses the evolution of early machine codes and pseudocodes in the 1940s-1950s that paved the way for higher-level languages. Major milestones included the introduction of FORTRAN in 1957, which was one of the first high-level languages, followed by an explosion of new languages in the 1960s. The 1970s saw a focus on simplicity and abstraction with languages like Pascal. Object-oriented programming emerged in the 1980s with C++ and Smalltalk. The rise of the internet in the 1990s drove increased use of scripting languages and the creation of Java. Looking ahead, the future remains uncertain but programming continues
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.
A Short Communication On Computer Programming Languages In Modern EraKatie Naple
This document provides an overview of computer programming languages throughout history. It discusses how programming languages have evolved from machine languages to modern high-level languages. Key points include:
1) Programming languages have developed from low-level machine languages and assembly languages to modern high-level languages to simplify programming and communication between humans and computers.
2) Popular modern languages include C++, Java, Python, and JavaScript, which are often used to build web applications.
3) Programming languages continue to be developed to meet new needs, such as languages for scientific computing, business applications, education, and more specialized domains.
This document discusses the evolution of programming languages from early machine languages to modern higher-level languages. It begins with an introduction to human and computer languages. It then covers the development of machine languages, assembly languages, and higher-level languages like FORTRAN and COBOL. The document discusses the advantages of each generation of languages and examples of languages from the 1950s to modern times.
The document summarizes the evolution of computer systems from ancient calculating tools to modern AI-powered computers. It describes abacuses and early mechanical calculating machines, followed by the development of programmable digital computers in the 1940s using vacuum tubes. The first generation of computers used vacuum tubes, were huge and expensive. Transistor-based second generation computers were smaller and more efficient. Integrated circuits were used in third generation computers, making them smaller and faster. Fourth generation computers introduced graphical user interfaces and networks. Fifth generation computers began incorporating artificial intelligence capabilities like natural language processing and parallel processing. The document also covers computer languages from low-level machine code to high-level languages, and different types of computer software.
Unit 4 Assignment 1 Comparative Study Of Programming...Carmen Sanborn
- The goal is to design a new programming language by combining common qualities from two existing languages.
- When designing a new language, it is important to consider aspects like syntax, semantics, data types, control structures, modularity, and libraries/frameworks.
- The language design should aim to take useful features from other languages while avoiding their shortcomings to create a language that is efficient, readable, and meets modern programming needs.
Lesson 1-3 Fundamentals of Programming.pptxDysRobles
Here are the conversions:
11001 - Binary to Decimal = 49
165 - Decimal to Binary = 10100001
Decimal to Octal = 251
Decimal to Hexadecimal = A5
566 - Decimal to Binary = 111000010
Decimal to Octal = 1322
Decimal to Hexadecimal = 23A
1CC2 - Hexadecimal to Decimal = 7322
Hexadecimal to Binary = 00011100010010110
Hexadecimal to Octal = 4322
The document provides background information on programming languages and their history. It discusses early pioneers in computer programming such as Ada Lovelace, Herman Hollerith, and Konrad Zuse. It outlines the development of many popular modern programming languages such as Fortran, COBOL, BASIC, Pascal, C, C++, Java, PHP, JavaScript, Python, Ruby, and others, describing their key features and common uses. Ada Lovelace is noted as creating the first computer program in 1843 for Charles Babbage's analytical engine.
Programming involves writing instructions for a computer in a language it can understand. Programming languages allow humans to write programs for tasks like creating games and applications. The document discusses several popular programming languages including Java, Logo, FORTRAN, BASIC, C, Pascal, and Assembly and provides brief descriptions of each language and its uses.
Grade 10 introduction and history of programmingRafael Balderosa
Computer programming involves writing instructions to enable computers to perform processes. Programming languages allow humans to communicate with computers through specific sets of words, symbols, and codes. Some of the earliest programming languages included FORTRAN, COBOL, ALGOL, BASIC, PL/1, Pascal, and C. Many modern languages like C++, Java, and Visual Basic were influenced by these early languages and were created to serve different purposes like systems programming, business applications, and building graphical user interfaces.
The different kind of programming languageMd Amran
The document describes several popular programming languages:
C++ was developed in the 1980s as an extension of C that added object-oriented programming capabilities. Objective-C is based on C and was developed in the 1980s, becoming the main language for Apple software. Visual Basic and Visual C# were introduced by Microsoft in the 1990s/2000s to simplify Windows application development and support object-oriented programming. PHP and JavaScript are widely used scripting languages, with PHP used on websites like Wikipedia and Facebook and JavaScript used for web page interactivity. Ruby on Rails combines the Ruby language with a web framework and was used to build Twitter's interface. Scala uses object-oriented and functional paradigms and integrates
A History of Computer Programming Languages.pdfSohaib Roomi
- The document provides a history of computer programming languages from Charles Babbage's difference engine in 1822 to modern languages like C. It describes how early languages involved physically rewiring computers for each program and how John Von Neumann developed the concept of stored programs in 1945, allowing computers to be reprogrammed more easily. It then summarizes the development of many important early languages like FORTRAN, COBOL, LISP, ALGOL, and Pascal through the 1970s and how C became widely popular in the 1970s as it was developed alongside Unix.
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).
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.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...Zilliz
Join us to introduce Milvus Lite, a vector database that can run on notebooks and laptops, share the same API with Milvus, and integrate with every popular GenAI framework. This webinar is perfect for developers seeking easy-to-use, well-integrated vector databases for their GenAI apps.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
Dr. Sean Tan, Head of Data Science, Changi Airport Group
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How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
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.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
4. What really is computer programming
Computer programming, the art and
science of instructing computers to
perform specific tasks, has a rich history that
parallels the development of computing technology itself
5. CODING:PROGRAMMING
coding and programming are the engines that power
technological progress. They take the raw potential of
technology and mold it into useful, efficient, and innovative
forms that shape our daily lives.
This relationship is a constant cycle of inspiration, creation,
and refinement, where each component relies on and
enhances the others to create a tapestry of digital innovation.
6. Coding: The Language of Machines
Coding, AKA “writing code”,
is the process of creating sets of instructions that computers can
understand and execute. Binary base is used now however the early programming languages
was coded in decimals(base 10)
Programming: The Craft of Creating Solutions
Programming is the broader process that encompasses not only
writing code but also the entire methodology of designing, planning,
and implementing software solutions.
TECHNOLOGY: THE ENABLER
COMPUTERS, SMARTPHONES, THE INTERNET, AND COUNTLESS OTHER
INNOVATIONS FALL UNDER THE UMBRELLA OF TECHNOLOGY.
7.
8. The History of Programming
The History of Programming can be traced back to the middle of
the 19th century (1850s), where Ada Lovelace an assistant to Charles
Babbage wrote a simple code to program a textile printing machine
they were trying to automate
Ada Lovelace invents the first-ever machine algorithm for Charles
Babbage’s Difference Machine that lays the foundation for all
programming languages whilst most code nowadays are in binary
base, her code was in decimal base and made it non functional.
9. The early 20th Century Jump
The next set of development we would see in Programming would accelerate the
growth of technology.
1. Firstly,In1940s the first computers( such as the ENIAC ;Electronic Numerical
Integrator and Computer), were programmed using machine language,
consisting of binary code that directly manipulated hardware.
In1950s Assembly languages were introduced, providing symbolic
representations of machine code instructions, making programming slightly
more human-readable and manageable.
Plankalkül
Somewhere between 1944-45, Konrad Zuse developed the first ‘real’ programming language called
Plankalkül (Plan Calculus). Zeus’s language (among other things) allowed for the creations of
procedures, which stored chunks of code that could be invoked over and over to perform routine
operations.
10. The 20th century Jump
1949(Shortcode) –Short order code; the first High-Level Language (HLL)
suggested by John McCauley in 1949, however it was William Schmitt who
implemented it for the BINAC computer the same year and for the UNIVAC in
1950.
1952-Autocode; was the first-ever compiled language to be implemented
meaning that it can be translated directly into machine code using a program
called a compiler. Created by Alick Glennie
1957- FORmula TRANslation or FORTRAN; was created by John Backus and is
considered to be the oldest programming language in use today.It was created
for high-level scientific, mathematical, and statistical computations and still
being used in today’s super computers
11. The mid 20th century to the late 20th century
1958- ALGOL (Algorithmic Language); created by a joint committee of
American and European computer scientists. ALGOL served as the starting
point for the development of some of the most important programming
languages including Pascal, C, C++, and Java.
1958- LISP (List Processor):invented by John McCarthy at the Massachusetts
Institue of Technology (MIT). Originally purposed for artificial intelligence,
LISP is one of the oldest programming languages still in use today and can
be used in the place of Ruby or Python
1959-Common Business Oriented Language (COBOL); is the programming
language behind many credit card processors, ATMs, telephone and cell calls,
hospital signals, and traffic signals systems (just to name a few). The
development of the language was led by Dr. Grace Murray Hopper
12. MICROSOFT,APPLE,LOGITECH AND
MORDERN TECH
From the late 1960s, Microsoft’s Bill Gate and Paul Allen would develop on
a group project of students from Dartmouth college (called BASIC-
Beginner All Purpose Symbolic Instructions Code). It would be the first
marketable programming language as well as being a product of Microsoft
corporation.
1970- PASCAL Named after the French mathematician Blaise Pascal,
Niklaus Wirth developed the programming language in his honor. It was
developed as a learning tool for computer programming which meant it
was easy to learn. It was favored by Apple in the company’s early days,
because of its ease of use and power.
14. Types of
programming
THERE ARE 4 TYPES OF PROGRAMMING
PROGRAMMING CAN BE CATEGORIZED INTO SEVERAL TYPES BASED ON DIFFERENT CRITERIA SUCH
AS THE APPLICATION DOMAIN, PROGRAMMING PARADIGM, AND THE LEVEL OF ABSTRACTION. HERE
ARE SOME COMMON TYPES OF PROGRAMMING
15. types
Application Domain: Mobile App Development (KOTLIN-Android, Swift-
IOS, Flutter-wave, React native etc ), Game Development, Embedded
Systems Programming, etc.
Programming Paradigm: Procedural Programming- Organizing code as
procedures or routines that perform tasks in a linear manner. Examples
include languages like C and Pascal. Object-Oriented Programming (OOP)-
Structuring code around objects that encapsulate data and behavior(eg
Java, C++, and Python), Functional Programming-evaluation of
mathematical functions, Languages like Haskell, Lisp, and JavaScript (with
frameworks like React) follow this paradigm, Logic Programming-programs
used within a set of logical statements, primarily used in artificial
intelligence and symbolic reasoning.(eg Prolog),Structured Programming
16. types
Abstraction Level: High-Level Programming: Writing code using
languages that are closer to human language and are more abstract.
Examples include Python, Java, and Ruby. Low-Level Programming-
machine language and hardware. Assembly languages and languages like
C are considered low-level.
Scripting vs. Compiled:
Scripting Languages- interpreted and executed line by line, often
used for automating tasks and rapid development. Eg ; Python, JavaScript,
and Ruby.