Talks about different programming paradigms, their strengths & weakness, evolution of programming paradigms and some real life application of how companies have gained competitive advantage by using right paradigm to solve their problems.
This document discusses different programming paradigms and languages. It describes batch programs which run without user interaction and event-driven programs which respond to user events. It lists many popular programming languages from Machine Language to Java and C#, and describes low-level languages that are close to machine code and high-level languages that are more human-readable. It also discusses the different types of language translators like compilers, interpreters, and assemblers and how they convert code between languages. Finally, it covers testing, debugging, and different types of errors in programming.
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 presentation will introduce you to programming languages that support different programming paradigms and to give you the knowledge of basic concepts and techniques that will allow them to differentiate between various programming paradigms.
This document discusses four main programming paradigms: object-oriented, imperative, functional, and logic. It defines what a programming paradigm is and how it influences language design. For each paradigm it provides a key characteristic, example use cases, and what problems it is best suited for. The object-oriented paradigm views everything as objects, the imperative views problems as sequences of steps, functional views problems as expressions and functions, and logic views problems through predicate calculus. The document emphasizes that different paradigms are suited for different problems and learning multiple allows programmers to choose the best approach. It provides an overview to introduce the basic concepts of major programming paradigms.
The document discusses programming paradigms and introduces imperative programming. It defines imperative programming as a paradigm that describes computation in terms of statements that change a program's state. Imperative programming uses commands to update variables in storage and defines sequences of commands for the computer to perform. The document contrasts structured and unstructured programming and discusses concepts like l-values, r-values, iteration, and goto statements as they relate to imperative programming.
This document discusses four main programming paradigms: imperative, functional, object-oriented programming, and dynamic programming. It provides examples of each paradigm and lists some common languages that support each style. Imperative programming tells the computer how to do things using commands like loops. Functional programming tells the computer what to do without specifying how. Object-oriented programming models code as objects that represent real-world things. Dynamic programming uses weak or no type checking of data types.
C was created in the 1970s by Dennis Ritchie at Bell Labs to develop the UNIX operating system. Key features were added to its predecessor, the B language, including data types and structures. The C language became widely popular due to its inclusion in the UNIX kernel and the book "The C Programming Language". C++ was created in the 1980s by Bjarne Stroustrup as an object-oriented extension of C, adding classes, templates, and exceptions while maintaining compatibility with C. C++ has since become an ISO standard language widely used for system and application programming.
This document discusses different programming paradigms and languages. It describes batch programs which run without user interaction and event-driven programs which respond to user events. It lists many popular programming languages from Machine Language to Java and C#, and describes low-level languages that are close to machine code and high-level languages that are more human-readable. It also discusses the different types of language translators like compilers, interpreters, and assemblers and how they convert code between languages. Finally, it covers testing, debugging, and different types of errors in programming.
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 presentation will introduce you to programming languages that support different programming paradigms and to give you the knowledge of basic concepts and techniques that will allow them to differentiate between various programming paradigms.
This document discusses four main programming paradigms: object-oriented, imperative, functional, and logic. It defines what a programming paradigm is and how it influences language design. For each paradigm it provides a key characteristic, example use cases, and what problems it is best suited for. The object-oriented paradigm views everything as objects, the imperative views problems as sequences of steps, functional views problems as expressions and functions, and logic views problems through predicate calculus. The document emphasizes that different paradigms are suited for different problems and learning multiple allows programmers to choose the best approach. It provides an overview to introduce the basic concepts of major programming paradigms.
The document discusses programming paradigms and introduces imperative programming. It defines imperative programming as a paradigm that describes computation in terms of statements that change a program's state. Imperative programming uses commands to update variables in storage and defines sequences of commands for the computer to perform. The document contrasts structured and unstructured programming and discusses concepts like l-values, r-values, iteration, and goto statements as they relate to imperative programming.
This document discusses four main programming paradigms: imperative, functional, object-oriented programming, and dynamic programming. It provides examples of each paradigm and lists some common languages that support each style. Imperative programming tells the computer how to do things using commands like loops. Functional programming tells the computer what to do without specifying how. Object-oriented programming models code as objects that represent real-world things. Dynamic programming uses weak or no type checking of data types.
C was created in the 1970s by Dennis Ritchie at Bell Labs to develop the UNIX operating system. Key features were added to its predecessor, the B language, including data types and structures. The C language became widely popular due to its inclusion in the UNIX kernel and the book "The C Programming Language". C++ was created in the 1980s by Bjarne Stroustrup as an object-oriented extension of C, adding classes, templates, and exceptions while maintaining compatibility with C. C++ has since become an ISO standard language widely used for system and application programming.
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), ...
The document contains information about a programming paradigms course for the sixth semester of the computer science and engineering department at A.V.C. College of Engineering. It includes the syllabus, units covered, textbooks, and faculty details. The syllabus covers five units: object-oriented programming fundamentals, inheritance, event-driven programming, generic programming, and concurrent programming. The textbook listed is Core Java: Volume I – Fundamentals by Cay S. Horstmann and Gary Cornell. The faculty name provided is Parvathi.M and their designation is Assistant Professor.
C++ development began in 1979 when Bjarne Stroustrup was working on his PhD thesis using the Simula language. He identified opportunities to incorporate object-oriented programming features into software development. Stroustrup started adding OOP features to the C language while maintaining C's core functionality. This resulted in C++, which included classes, inheritance, and other features to support OOP while keeping C compatible. C++ became popular as an extension of C that provided object-oriented capabilities.
The document summarizes the history of the C++ programming language. It describes how C++ was created in 1979 by Bjarne Stroustrup as an enhancement to the C language by adding object-oriented programming features like classes, inheritance, and polymorphism. Key events included the first commercial C++ release in 1985, standardization efforts in 1998 and later updates, and the addition of new features over time that expanded the language's capabilities. C++ has evolved into a widely used general-purpose programming language.
What is Programming Paradigm
Types of Programming Paradigm
What is web programming
How does it work
What are web programming languages
Module of Web Programming
HTML
CSS
JAVASCRIPT
PHP
ASP .NET
RUBY ON RAILS
JAVA
PYTHON
The document discusses C++ as a programming language. It was developed by Bjarne Stroustrup starting in 1979 at Bell Labs as an enhancement to the C programming language. Many major software and applications are written in C++, including Google Chrome, Mozilla Firefox, MySQL, Autodesk Maya 3D software, and parts of Apple's OS X and Microsoft Windows operating systems. The document also provides quotes from programmers about C++, both positive and negative. It notes that C++ is one of the most popular and widely used programming languages due to its use in systems software, applications, device drivers, embedded software, servers, clients, and games.
The document provides an overview of several common programming paradigms, including imperative, functional, logic, object-oriented, and concurrent/distributed programming. For each paradigm, it gives a brief 1-2 sentence description of its characteristics. Imperative programming is described as evolving from machine and assembly language and focusing on non-programming contexts. Functional programming is defined as expression-oriented and close to mathematical specifications. Logic programming is summarized as using logical statements to describe required solution properties. Object-oriented programming views data as objects and has programmers define data types and operations. Concurrent and distributed programming allows for multiple simultaneous operations.
Programming Paradigms Which One Is The Best?Netguru
The document discusses different programming paradigms and which one may be best. It describes object-oriented programming, imperative programming, and declarative programming. For each, it provides examples in code to illustrate the paradigm. It argues that while imperative programming is popular and easy, it can be error-prone and not scale well. Declarative programming is described as simpler, safer, and more scalable by declaring intent rather than implementation. In the end, the document concludes that no single paradigm is best, and that they are often used together in practice.
Introduction to Functional Programming in JavaScripttmont
A presentation I did for work on functional programming. It's meant as an introduction to functional programming, and I implemented the fundamentals of functional programming (Church Numerals, Y-Combinator, etc.) in JavaScript.
This document discusses the benefits of functional programming (FP) that the author learned. It begins by explaining how multithreading programs are difficult to write, test, and ensure thread safety due to mutable shared state. FP avoids these issues by not using mutable variables. The document then covers some key aspects of FP like recursion, higher-order functions, function composition, and immutable data structures. It provides examples in various languages to illustrate these concepts. The author argues that FP provides a good foundation for writing concurrent programs due to its avoidance of mutable state.
This document discusses object-oriented programming paradigms and characteristics. It begins by stating that most will work in IT and knowing OO paradigms can help careers. It then discusses the key characteristics of OO paradigms - abstraction, encapsulation, inheritance, and polymorphism. Examples are given to explain each characteristic from programming and modeling perspectives. The document concludes that a strong OO model reinforces the weak model using these four key characteristics.
The objectives of the seminar are to shed a light on the premises of FP and give you a basic understanding of the pillars of FP so that you would feel enlightened at the end of the session. When you walk away from the seminar you should feel an inner light about the new way of programming and an urge & motivation to code like you never before did!
Functional programming should not be confused with imperative (or procedural) programming. Neither it is like object oriented programming. It is something different. Not radically so, since the concepts that we will be exploring are familiar programming concepts, just expressed in a different way. The philosophy behind how these concepts are applied to solving problems are also a little different. We shall learn and talk about essentially the fundamental elements of Functional Programming.
Functional programming uses immutable data and functions as the key operation. Code is written as a series of functions without side effects. Lambda calculus is the mathematical foundation, representing functions as lambda expressions. Functional programming languages include Haskell, Scheme, Clojure and F#. Benefits include ease of debugging, elegance and concurrency.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
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.
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.
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), ...
The document contains information about a programming paradigms course for the sixth semester of the computer science and engineering department at A.V.C. College of Engineering. It includes the syllabus, units covered, textbooks, and faculty details. The syllabus covers five units: object-oriented programming fundamentals, inheritance, event-driven programming, generic programming, and concurrent programming. The textbook listed is Core Java: Volume I – Fundamentals by Cay S. Horstmann and Gary Cornell. The faculty name provided is Parvathi.M and their designation is Assistant Professor.
C++ development began in 1979 when Bjarne Stroustrup was working on his PhD thesis using the Simula language. He identified opportunities to incorporate object-oriented programming features into software development. Stroustrup started adding OOP features to the C language while maintaining C's core functionality. This resulted in C++, which included classes, inheritance, and other features to support OOP while keeping C compatible. C++ became popular as an extension of C that provided object-oriented capabilities.
The document summarizes the history of the C++ programming language. It describes how C++ was created in 1979 by Bjarne Stroustrup as an enhancement to the C language by adding object-oriented programming features like classes, inheritance, and polymorphism. Key events included the first commercial C++ release in 1985, standardization efforts in 1998 and later updates, and the addition of new features over time that expanded the language's capabilities. C++ has evolved into a widely used general-purpose programming language.
What is Programming Paradigm
Types of Programming Paradigm
What is web programming
How does it work
What are web programming languages
Module of Web Programming
HTML
CSS
JAVASCRIPT
PHP
ASP .NET
RUBY ON RAILS
JAVA
PYTHON
The document discusses C++ as a programming language. It was developed by Bjarne Stroustrup starting in 1979 at Bell Labs as an enhancement to the C programming language. Many major software and applications are written in C++, including Google Chrome, Mozilla Firefox, MySQL, Autodesk Maya 3D software, and parts of Apple's OS X and Microsoft Windows operating systems. The document also provides quotes from programmers about C++, both positive and negative. It notes that C++ is one of the most popular and widely used programming languages due to its use in systems software, applications, device drivers, embedded software, servers, clients, and games.
The document provides an overview of several common programming paradigms, including imperative, functional, logic, object-oriented, and concurrent/distributed programming. For each paradigm, it gives a brief 1-2 sentence description of its characteristics. Imperative programming is described as evolving from machine and assembly language and focusing on non-programming contexts. Functional programming is defined as expression-oriented and close to mathematical specifications. Logic programming is summarized as using logical statements to describe required solution properties. Object-oriented programming views data as objects and has programmers define data types and operations. Concurrent and distributed programming allows for multiple simultaneous operations.
Programming Paradigms Which One Is The Best?Netguru
The document discusses different programming paradigms and which one may be best. It describes object-oriented programming, imperative programming, and declarative programming. For each, it provides examples in code to illustrate the paradigm. It argues that while imperative programming is popular and easy, it can be error-prone and not scale well. Declarative programming is described as simpler, safer, and more scalable by declaring intent rather than implementation. In the end, the document concludes that no single paradigm is best, and that they are often used together in practice.
Introduction to Functional Programming in JavaScripttmont
A presentation I did for work on functional programming. It's meant as an introduction to functional programming, and I implemented the fundamentals of functional programming (Church Numerals, Y-Combinator, etc.) in JavaScript.
This document discusses the benefits of functional programming (FP) that the author learned. It begins by explaining how multithreading programs are difficult to write, test, and ensure thread safety due to mutable shared state. FP avoids these issues by not using mutable variables. The document then covers some key aspects of FP like recursion, higher-order functions, function composition, and immutable data structures. It provides examples in various languages to illustrate these concepts. The author argues that FP provides a good foundation for writing concurrent programs due to its avoidance of mutable state.
This document discusses object-oriented programming paradigms and characteristics. It begins by stating that most will work in IT and knowing OO paradigms can help careers. It then discusses the key characteristics of OO paradigms - abstraction, encapsulation, inheritance, and polymorphism. Examples are given to explain each characteristic from programming and modeling perspectives. The document concludes that a strong OO model reinforces the weak model using these four key characteristics.
The objectives of the seminar are to shed a light on the premises of FP and give you a basic understanding of the pillars of FP so that you would feel enlightened at the end of the session. When you walk away from the seminar you should feel an inner light about the new way of programming and an urge & motivation to code like you never before did!
Functional programming should not be confused with imperative (or procedural) programming. Neither it is like object oriented programming. It is something different. Not radically so, since the concepts that we will be exploring are familiar programming concepts, just expressed in a different way. The philosophy behind how these concepts are applied to solving problems are also a little different. We shall learn and talk about essentially the fundamental elements of Functional Programming.
Functional programming uses immutable data and functions as the key operation. Code is written as a series of functions without side effects. Lambda calculus is the mathematical foundation, representing functions as lambda expressions. Functional programming languages include Haskell, Scheme, Clojure and F#. Benefits include ease of debugging, elegance and concurrency.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
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.
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.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
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
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.
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.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
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.
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.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
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.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
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.
20. Lyrics
99 bottles of beer on the wall, 99 bottles of beer.
Take one down and pass it around, 98 bottles of beer on the wall.
98 bottles of beer on the wall, 98 bottles of beer.
Take one down and pass it around, 97 bottles of beer on the wall.
97 bottles of beer on the wall, 97 bottles of beer.
Take one down and pass it around, 96 bottles of beer on the wall.
--------------------------------------------------------------------------
--------------------------------------------------------------------------
1 bottle of beer on the wall, 1 bottle of beer.
Take one down and pass it around, no more bottles of beer on the wall.
No more bottles of beer on the wall, no more bottles of beer.
Go to the store and buy some more, 99 bottles of beer on the wall.
21. Imperative Style
var lyrics = [];
for (var bottles = 99; bottles > 0; bottles--) {
lyrics.push(bottles + " bottles of beer on the wall, "
+ bottles + " bottles of beer");
var next_bottles = ((bottles-1) == 0 ? "no more" : (bottles-1));
lyrics.push("Take one down and pass it around, "
+ next_bottles + " bottles of beer on the wall.");
}
var zero_bottle = "No more";
lyrics.push(zero_bottle + " bottles of beer on the wall, "
+ zero_bottle + " bottles of beer");
lyrics.push("Go to the store and buy some more, "
+ "99 bottles of beer on the wall.");
document.writeln(lyrics.join("<BR>"));
23. Functional Style
var BottleSong = function(num_bottles){
var bottles = function(n){
return (n == 0 ? "no more" : n) + " bottles";
}
this.num_bottles = num_bottles;
this.last_stanza = function(){
return ["No more bottles of beer on the wall, no more bottles of beer.",
"Go to the store and buy some more, 99 bottles of beer on the wall."];
}
this.stanza = function(n) {
var line = [bottles(n) + " of beer on the wall, " + bottles(n) + " of beer."];
line.push("Take one down and pass it around, " + bottles(n-1) + " of beer on the wall.");
return line;
}
}
BottleSong.prototype = {
sing: function(separator){
var bottles = _.range(this.num_bottles,0,-1)
var that = this;
return _.reduce(bottles, function(lyrics, n) {
return lyrics.concat(that.verse_n(n));
},[]).concat(that.verse_0()).join(separator);
}
}
var song = new BottleSong(99);
document.writeln(song.sing("<BR>"));
24. bottles 0 = "no more bottles"
bottles 1 = "1 bottle"
bottles n = show n ++ " bottles"
verse 0 = "No more bottles of beer on the wall, no more bottles of beer.n"
++ "Go to the store and buy some more, 99 bottles of beer on the wall."
verse n = bottles n ++ " of beer on the wall, " ++ bottles n ++ " of beer.n"
++ "Take one down and pass it around, " ++ bottles (n-1)
++ " of beer on the wall.n"
main = mapM (putStrLn . verse) [99,98..0]
Haskel Solution
25. (defn bottles-str [n]
(str
(cond
(= 0 n) "no more bottles"
(= 1 n) "1 bottle"
:else (format "%d bottles" n))
" of beer"))
(defn print-bottle [n]
(println (format "%s on the wall, %s." (bottles-str n) (bottles-str n)))
(println "Take one down and pass it around," (bottles-str (dec n)) "on the wall."))
(defn sing [n]
(dorun (map print-bottle (reverse (range 1 (inc n)))))
(println "No more bottles of beer on the wall, no more bottles of beer.")
(println "Go to the store and buy some more," (bottles-str n) "on the wall."))
(sing 99)
Clojure Solution