An overview of modern programming languages, with Kotlin as an example. We examine features of these languages including Groovy, Swift, and Go to point the trend in these languages.
UML (Unified Modeling Language) is a diagramming language used for object-oriented programming. It can be used to describe the organization, execution, use, and deployment of a program. Design patterns describe common solutions to programming problems and always use UML diagrams. This document focuses on class diagrams, which show classes, interfaces, and their relationships. It provides examples of how to depict classes with variables and methods, and relationships between classes like inheritance.
The document provides an introduction to programming languages. It discusses the different levels of programming languages including low-level languages like machine language and assembly language that are close to hardware, and high-level languages like C++, Java, and Python that are more abstract. It also covers procedural languages which specify steps to complete tasks and object-oriented languages which model real-world objects. Examples are given of popular languages from each paradigm like C, Pascal, and PHP for procedural and C++, Java, Ruby for object-oriented.
UML (Unified Modeling Language) is a standard language for specifying, visualizing, and documenting software systems. It uses various diagrams to model different views of a system, such as structural diagrams (e.g. class diagrams), behavioral diagrams (e.g. sequence diagrams), and deployment diagrams. The key building blocks of UML include things (classes, interfaces, use cases), relationships (associations, generalizations), and diagrams. UML aims to provide a clear blueprint of software systems for both technical and non-technical audiences.
The document outlines an agenda for a workshop on programming errors in C language. It includes:
1. A warm up quiz, presentation on types of errors, and an activity on data types.
2. Using computers and writing a program in code blocks to practice.
3. An exit ticket at the end.
Types of errors discussed are syntax, logical, and runtime errors. Homework assignments are provided to have participants write programs in C to calculate efficiency, interior angles of polygons, and draw polygons to avoid errors. Testing programs is emphasized to avoid errors.
CASE: (Computer Aided Software Engineering) tools are very useful. We must have a proper knowledge about these tool and their usage.
I try my best to introduce CASE tools and further I explain components of CASE tool and the usage of CASE Tool in SDLC(System Development Life Cycle) Upper CASE Tool, Lower CASE, Integrated CASE tools in these slides and Complete Description about all types of CASE tool will be discussed in further slides by me INSHALLAH.
Regards...
UML (Unified Modeling Language) is a diagramming language used for object-oriented programming. It can be used to describe the organization, execution, use, and deployment of a program. Design patterns describe common solutions to programming problems and always use UML diagrams. This document focuses on class diagrams, which show classes, interfaces, and their relationships. It provides examples of how to depict classes with variables and methods, and relationships between classes like inheritance.
The document provides an introduction to programming languages. It discusses the different levels of programming languages including low-level languages like machine language and assembly language that are close to hardware, and high-level languages like C++, Java, and Python that are more abstract. It also covers procedural languages which specify steps to complete tasks and object-oriented languages which model real-world objects. Examples are given of popular languages from each paradigm like C, Pascal, and PHP for procedural and C++, Java, Ruby for object-oriented.
UML (Unified Modeling Language) is a standard language for specifying, visualizing, and documenting software systems. It uses various diagrams to model different views of a system, such as structural diagrams (e.g. class diagrams), behavioral diagrams (e.g. sequence diagrams), and deployment diagrams. The key building blocks of UML include things (classes, interfaces, use cases), relationships (associations, generalizations), and diagrams. UML aims to provide a clear blueprint of software systems for both technical and non-technical audiences.
The document outlines an agenda for a workshop on programming errors in C language. It includes:
1. A warm up quiz, presentation on types of errors, and an activity on data types.
2. Using computers and writing a program in code blocks to practice.
3. An exit ticket at the end.
Types of errors discussed are syntax, logical, and runtime errors. Homework assignments are provided to have participants write programs in C to calculate efficiency, interior angles of polygons, and draw polygons to avoid errors. Testing programs is emphasized to avoid errors.
CASE: (Computer Aided Software Engineering) tools are very useful. We must have a proper knowledge about these tool and their usage.
I try my best to introduce CASE tools and further I explain components of CASE tool and the usage of CASE Tool in SDLC(System Development Life Cycle) Upper CASE Tool, Lower CASE, Integrated CASE tools in these slides and Complete Description about all types of CASE tool will be discussed in further slides by me INSHALLAH.
Regards...
Fragments allow modularizing an app's UI into reusable components. A fragment represents a portion of UI within an activity and has its own lifecycle. Multiple fragments can be used within a single activity to create a multi-pane UI or reuse fragments across activities. Key advantages are modularity, ability to reuse fragments, and maintaining a back stack of fragment states. The document discusses implementing fragments in different screen types, writing fragment and activity classes, and including fragments in layouts. It also covers fragment types like ListFragment and DialogFragment and ensuring compatibility by adding the support library.
The document discusses the evolution of programming languages from first to third generation languages. First generation languages were machine code using binary, while second generation introduced assembly language with mnemonic codes. Third generation languages brought features like loops and conditionals, making code easier to write but requiring compilers or interpreters to convert to machine code. Some examples of early third generation languages discussed are FORTRAN, BASIC, COBOL, and PASCAL.
The document discusses compiler design options and the differences between compilers and interpreters. It states that a compiler converts a high-level language program into machine code all at once, while an interpreter converts the program line-by-line at runtime. Compilers generally execute programs faster but take longer to compile, while interpreters execute more slowly but can compile incrementally and debug line-by-line. The document also covers pure and impure interpreters, p-code compilers, and the roles of compilers and interpreters.
The document discusses factors related to software project size and effort. It provides the following key points:
1) Software development and maintenance can account for a significant portion of economic activity, with estimates that it will account for 12.5% of the US GDP by 1990.
2) Most effort is spent on maintenance rather than development, with estimates that maintenance accounts for 60-90% of total effort.
3) Software project size is categorized based on factors like number of programmers, duration, lines of code, and interactions/complexity. These range from trivial single-programmer projects to extremely large projects involving thousands of programmers over 5-10 years.
4) A 1964 study found that programmers only spent
The document introduces programming and the C++ language. It explains that a program is a set of instructions given to a computer in a programming language to perform tasks. High-level languages like C++ were created because computers only understand binary and it is impossible for humans to program in binary. The document then covers the anatomy of a simple "Hello World" C++ program, including main functions, header files, output statements, strings, and terminators. It concludes by explaining how C++ source code is compiled into machine code and executed.
This document discusses function-oriented software design. It explains that function-oriented design represents a system as a set of functions that transform inputs to outputs. The chapter objectives are to explain function-oriented design, introduce design notations, illustrate the design process with an example, and compare sequential, concurrent and object-oriented design strategies. Topics covered include data-flow design, structural decomposition, detailed design, and a comparison of design strategies.
Pseudo code is an informal way to describe the steps of an algorithm using a language-like syntax that is easier for humans to understand than formal code. It omits implementation details like variable declarations and uses natural language to describe control structures and function calls. Pseudo code is used in textbooks and publications to explain algorithms to programmers of different languages, and by programmers to plan code before implementation. Common elements borrowed from languages include loops, conditionals, and basic syntax, but there is no standard form.
UML (Unified Modeling Language) is a standard modeling language used to visualize, specify, construct, and document software systems. It uses graphical notation to depict systems from initial design through detailed design. Common UML diagram types include use case diagrams, class diagrams, sequence diagrams, activity diagrams, and state machine diagrams. UML provides a standard way to communicate designs across development teams and is supported by many modeling tools.
This document discusses several techniques for estimating software costs: expert judgement, pricing to win, estimation by analogy, bottom-up, top-down, and algorithmic cost modeling. Expert judgement involves consulting experts and iterating until agreement. Pricing to win bases the estimate only on the customer's budget. Estimation by analogy compares a new project to similar past projects. Bottom-up and top-down respectively estimate from components or overall functionality. Algorithmic cost modeling uses mathematical equations based on historical data.
This document provides an overview of software engineering concepts including the definition of software engineering, software components, characteristics of software, the software crisis, software quality attributes, and software development life cycle (SDLC) models. It discusses several SDLC models - waterfall model, prototype model, spiral model, evolutionary development model - outlining their phases and advantages/disadvantages.
High-level languages like C, FORTRAN, and Pascal allow programmers to write programs independently of a particular computer's architecture. They are considered "high-level" because they are more similar to human languages than machine languages. Examples are Python, C, Fortran, and Pascal, which have syntax that is closer to human languages and easier for humans to read compared to low-level languages like assembly, which are closer to machine languages.
This document provides notes on programming in C from a class on the subject. It covers basics of C programming including data types, constants, operators, expressions, input/output statements, decision making statements, looping statements and more. It discusses the structure of a C program and includes comments, preprocessor directives, global variable declarations and the main function. It also covers the history and applications of C, types of programming languages, and an introduction to programming paradigms and C as a programming language.
This document provides an overview of the C programming language. It begins with an outline of topics covered, then defines C as a structured, high-level, machine-independent language that follows a top-down approach. The document traces the history and evolution of C from earlier languages like ALGOL and BCPL. It describes key features of C like portability, speed, and simplicity. It also explains the roles of compilers and linkers and includes flowcharts, sample programs, and discussions of variables, data types, operators, and control statements in C like if/else statements and switch cases.
This document discusses Microsoft's .NET framework and its confrontation with Sun Microsystems' Java platform. It provides an overview of key aspects of .NET such as the Common Language Runtime (CLR), Microsoft Intermediate Language (MSIL), and support for multiple programming languages. It also compares .NET's approach of targeting a virtual machine to traditional compiled languages that target specific operating systems and hardware configurations.
This presentation contains:
1. Introduction
2. Central areas of TOC
3. Complexity theory
4. Computability theory
5. Automata theory
6. Related terminologies
7. Strings
8. Languages
9. Proof, Theorem, Lemma, Corollaries
This document provides an overview of software cost estimation techniques. It discusses factors that affect cost such as effort required, calendar time, and total cost of activities. It also covers parameters like hardware/software costs, travel/training costs, and effort costs. Productivity factors and techniques like algorithmic cost modeling, expert judgement, estimation by analogy, and pricing strategies are summarized. Algorithmic cost modeling uses historical data to relate software size to cost and involves factors for effort estimation.
The document provides an overview of the Software Engineering course for the second semester of the second year (B.Tech IT/II Sem-II). It includes details about the term, text books, unit syllabus, index of topics, and slides covering introductions to software engineering, the changing nature of software, software myths, generic views of process, the Capability Maturity Model Integration and personal and team software processes.
UML (Unified Modeling Language) is a standard modeling language used to specify, visualize, construct and document software systems. It uses graphical notations to express the design of object-oriented software projects. UML includes diagrams, relationships and elements that help design different perspectives of a system including design, implementation, process and deployment. The key building blocks of UML are things (like classes and use cases), relationships (like generalization and dependency), and diagrams (like class, sequence and deployment diagrams) which are used to model different aspects of a software system.
Kotlin is the new kid on the block. We compare its language features to other popular languages such as Java and Python. We focus on how Kotlin constructs strike a balance between brevity, clarity, and type-safety.
Exploring Kotlin language basics for Android App developmentJayaprakash R
Kotlin is a new programming language that targets JVM, Android and JavaScript. It is 100% interoperable with Java and avoids NullPointerExceptions. Some key features include lambda expressions, immutable val properties, smart casting, and named arguments. Kotlin code can use existing Java frameworks and libraries. Data classes, sealed classes, and when expressions make the code cleaner. Best practices include using apply() for object initialization and named arguments instead of method chaining.
Fragments allow modularizing an app's UI into reusable components. A fragment represents a portion of UI within an activity and has its own lifecycle. Multiple fragments can be used within a single activity to create a multi-pane UI or reuse fragments across activities. Key advantages are modularity, ability to reuse fragments, and maintaining a back stack of fragment states. The document discusses implementing fragments in different screen types, writing fragment and activity classes, and including fragments in layouts. It also covers fragment types like ListFragment and DialogFragment and ensuring compatibility by adding the support library.
The document discusses the evolution of programming languages from first to third generation languages. First generation languages were machine code using binary, while second generation introduced assembly language with mnemonic codes. Third generation languages brought features like loops and conditionals, making code easier to write but requiring compilers or interpreters to convert to machine code. Some examples of early third generation languages discussed are FORTRAN, BASIC, COBOL, and PASCAL.
The document discusses compiler design options and the differences between compilers and interpreters. It states that a compiler converts a high-level language program into machine code all at once, while an interpreter converts the program line-by-line at runtime. Compilers generally execute programs faster but take longer to compile, while interpreters execute more slowly but can compile incrementally and debug line-by-line. The document also covers pure and impure interpreters, p-code compilers, and the roles of compilers and interpreters.
The document discusses factors related to software project size and effort. It provides the following key points:
1) Software development and maintenance can account for a significant portion of economic activity, with estimates that it will account for 12.5% of the US GDP by 1990.
2) Most effort is spent on maintenance rather than development, with estimates that maintenance accounts for 60-90% of total effort.
3) Software project size is categorized based on factors like number of programmers, duration, lines of code, and interactions/complexity. These range from trivial single-programmer projects to extremely large projects involving thousands of programmers over 5-10 years.
4) A 1964 study found that programmers only spent
The document introduces programming and the C++ language. It explains that a program is a set of instructions given to a computer in a programming language to perform tasks. High-level languages like C++ were created because computers only understand binary and it is impossible for humans to program in binary. The document then covers the anatomy of a simple "Hello World" C++ program, including main functions, header files, output statements, strings, and terminators. It concludes by explaining how C++ source code is compiled into machine code and executed.
This document discusses function-oriented software design. It explains that function-oriented design represents a system as a set of functions that transform inputs to outputs. The chapter objectives are to explain function-oriented design, introduce design notations, illustrate the design process with an example, and compare sequential, concurrent and object-oriented design strategies. Topics covered include data-flow design, structural decomposition, detailed design, and a comparison of design strategies.
Pseudo code is an informal way to describe the steps of an algorithm using a language-like syntax that is easier for humans to understand than formal code. It omits implementation details like variable declarations and uses natural language to describe control structures and function calls. Pseudo code is used in textbooks and publications to explain algorithms to programmers of different languages, and by programmers to plan code before implementation. Common elements borrowed from languages include loops, conditionals, and basic syntax, but there is no standard form.
UML (Unified Modeling Language) is a standard modeling language used to visualize, specify, construct, and document software systems. It uses graphical notation to depict systems from initial design through detailed design. Common UML diagram types include use case diagrams, class diagrams, sequence diagrams, activity diagrams, and state machine diagrams. UML provides a standard way to communicate designs across development teams and is supported by many modeling tools.
This document discusses several techniques for estimating software costs: expert judgement, pricing to win, estimation by analogy, bottom-up, top-down, and algorithmic cost modeling. Expert judgement involves consulting experts and iterating until agreement. Pricing to win bases the estimate only on the customer's budget. Estimation by analogy compares a new project to similar past projects. Bottom-up and top-down respectively estimate from components or overall functionality. Algorithmic cost modeling uses mathematical equations based on historical data.
This document provides an overview of software engineering concepts including the definition of software engineering, software components, characteristics of software, the software crisis, software quality attributes, and software development life cycle (SDLC) models. It discusses several SDLC models - waterfall model, prototype model, spiral model, evolutionary development model - outlining their phases and advantages/disadvantages.
High-level languages like C, FORTRAN, and Pascal allow programmers to write programs independently of a particular computer's architecture. They are considered "high-level" because they are more similar to human languages than machine languages. Examples are Python, C, Fortran, and Pascal, which have syntax that is closer to human languages and easier for humans to read compared to low-level languages like assembly, which are closer to machine languages.
This document provides notes on programming in C from a class on the subject. It covers basics of C programming including data types, constants, operators, expressions, input/output statements, decision making statements, looping statements and more. It discusses the structure of a C program and includes comments, preprocessor directives, global variable declarations and the main function. It also covers the history and applications of C, types of programming languages, and an introduction to programming paradigms and C as a programming language.
This document provides an overview of the C programming language. It begins with an outline of topics covered, then defines C as a structured, high-level, machine-independent language that follows a top-down approach. The document traces the history and evolution of C from earlier languages like ALGOL and BCPL. It describes key features of C like portability, speed, and simplicity. It also explains the roles of compilers and linkers and includes flowcharts, sample programs, and discussions of variables, data types, operators, and control statements in C like if/else statements and switch cases.
This document discusses Microsoft's .NET framework and its confrontation with Sun Microsystems' Java platform. It provides an overview of key aspects of .NET such as the Common Language Runtime (CLR), Microsoft Intermediate Language (MSIL), and support for multiple programming languages. It also compares .NET's approach of targeting a virtual machine to traditional compiled languages that target specific operating systems and hardware configurations.
This presentation contains:
1. Introduction
2. Central areas of TOC
3. Complexity theory
4. Computability theory
5. Automata theory
6. Related terminologies
7. Strings
8. Languages
9. Proof, Theorem, Lemma, Corollaries
This document provides an overview of software cost estimation techniques. It discusses factors that affect cost such as effort required, calendar time, and total cost of activities. It also covers parameters like hardware/software costs, travel/training costs, and effort costs. Productivity factors and techniques like algorithmic cost modeling, expert judgement, estimation by analogy, and pricing strategies are summarized. Algorithmic cost modeling uses historical data to relate software size to cost and involves factors for effort estimation.
The document provides an overview of the Software Engineering course for the second semester of the second year (B.Tech IT/II Sem-II). It includes details about the term, text books, unit syllabus, index of topics, and slides covering introductions to software engineering, the changing nature of software, software myths, generic views of process, the Capability Maturity Model Integration and personal and team software processes.
UML (Unified Modeling Language) is a standard modeling language used to specify, visualize, construct and document software systems. It uses graphical notations to express the design of object-oriented software projects. UML includes diagrams, relationships and elements that help design different perspectives of a system including design, implementation, process and deployment. The key building blocks of UML are things (like classes and use cases), relationships (like generalization and dependency), and diagrams (like class, sequence and deployment diagrams) which are used to model different aspects of a software system.
Kotlin is the new kid on the block. We compare its language features to other popular languages such as Java and Python. We focus on how Kotlin constructs strike a balance between brevity, clarity, and type-safety.
Exploring Kotlin language basics for Android App developmentJayaprakash R
Kotlin is a new programming language that targets JVM, Android and JavaScript. It is 100% interoperable with Java and avoids NullPointerExceptions. Some key features include lambda expressions, immutable val properties, smart casting, and named arguments. Kotlin code can use existing Java frameworks and libraries. Data classes, sealed classes, and when expressions make the code cleaner. Best practices include using apply() for object initialization and named arguments instead of method chaining.
This document discusses the Dynamic Language Runtime (DLR) and dynamic coding features in C# 4. It provides an overview of the DLR and how it allows interoperability between statically and dynamically typed languages on the .NET framework. The DLR transforms dynamic operations in C# into calls to the DLR at compile time and handles dynamic dispatch at runtime. It uses expression trees to represent operations in a language-agnostic way and caches binding results for improved performance.
This document provides an overview of C# and its future development. It discusses C#'s popularity and strategy to remain innovative while preserving compatibility. Recently added features include minor releases and improvements to performance, efficiency, and safety. Future features discussed include ranges, nullable reference types, null coalescing assignment, recursive patterns, default interface implementation, async streams, and async disposables. The document provides information on testing pre-release C# features using Roslyn, SharpLab, LinqPad, and public VSIX extensions. It includes code examples and demos of the new features. Presenter contact details are provided at the end.
If you still haven't heard of it, there is a new star in JVM sky - Kotlin. This short presentation will serve as intro for those who wan't to hear what's all the fuss about and dive deeper into this new alternative to Java
Swift is a powerful and intuitive programming language introduced by Apple in 2014. It is designed to be more expressive, safe, and interactive compared to Objective-C. Swift uses modern programming patterns like optionals, tuples, generics and closures to prevent bugs and make code easier to write and read. It also provides seamless access to existing Cocoa frameworks and can interoperate with Objective-C code.
Kotlin what_you_need_to_know-converted event 4 with nigeriansjunaidhasan17
Kotlin is a cross-platform, statically typed programming language that runs on the JVM and JavaScript. It was developed by JetBrains as a pragmatic language for building production-grade applications. Kotlin is fully interoperable with Java and has many features that improve code safety, brevity, and readability compared to Java, like null safety, data classes, string templates, and extension functions. Popular companies like Google, Pinterest, and Square use Kotlin for Android development due to its interoperability with Java and improvements over Java.
This document provides an overview and summary of new features in Java 8. It begins with the schedule and release dates for Java 8 from 2012 to 2014. The major changes covered include lambda expressions, which allow passing code as data and are enabled by default functional interfaces. The new date/time API provides a modern replacement for the legacy Date/Calendar APIs. Type annotations allow adding metadata to types. Compact profiles define modular class libraries. Overall, Java 8 aims to better support parallel programming through new language features and library APIs.
Kotlin is a great language for developing server-side applications; it's an object-oriented language and also a functional one, supporting features such as function types, lambdas or higher order functions. But...is this enough to switch completely from a imperative paradigm to a functional paradigm?
In this talk we'll see how features from Arrow library completes Kotlin in order to follow a pure functional way.
Partial Continuations, Lessons From JavaScript and Guile in 2012 (Quasiconf 2...Igalia
By Andy Wingo.
Three talks in one:
- The power of limits: Partial continuations in Scheme
- Postcards from the web: Lessons from JavaScript
- Guile in 2012: A look back at 2.0, a look forward to 2.2
The power of limits: Partial continuations in Scheme
I’ll describe what delimited continuations are, how they are better than call/cc, and then go on to demonstrate and describe an event-based cooperative threading system built with delimited continuations, showing how it makes for much clearer code. I’ll show a simple implementation of the memcached protocol.
Postcards from the web: Lessons from JavaScript
In this talk I will mention some things that I have learned about language implementations from having worked on V8 and JavaScriptCore.
Guile in 2012: A look back at 2.0, a look forward to 2.2
It will briefly summarize the 2.0 release series of Guile, how it went, what worked well and what didn’t. Then we’ll look forward to the next cycle, which is probably some 6 months away.
Power Up Your Build - Omer van Kloeten @ Wix 2018-04Omer van Kloeten
I was invited to give this talk at the Wix Backend Guild Day, an internal event which was broadcast live internationally, on 2018-04-12
Video: https://youtu.be/cQ7UvUybceA
These days sbt is the de-facto build tool for Scala, but most of us just write the minimum viable build.sbt file, import the libraries we need (and maybe throw in some sbt-assembly) and forget about it.
In this Good Practices session, you will learn about making your build safer and more robust by making the Scala compiler work for you and through using some sbt plugins.
This talk will be quite high-level. There will be no need for prior knowledge of sbt and it should be beneficial for you even if you don’t use sbt.
The document provides an overview of the Kotlin programming language, including what it is, who created it, when it was created, where it can be used, and why it is useful. Specifically:
- Kotlin is a programming language created by JetBrains as an alternative to Java that compiles to JVM bytecode.
- It was created in 2010 and became open source in 2012, with stable releases beginning in 2016 and support on Android announced by Google in 2017.
- Kotlin can run on the JVM for Android and server-side applications as well as JavaScript and native platforms, though cross-platform code cannot use Java libraries.
- Advantages include being modern, concise,
JDD 2017: Kotlin for Java developers (Tomasz Kleszczyński)PROIDEA
Kolejny język dla JVM? Dlaczego Kotlin? Czy to już czas na porzucenie Javy? Chcę się podzielić moim odczuciem na temat języka Kotlin począwszy od motywacji dla której powstał, przez cechy które posiada, po stan obecny i perspektywę rozwoju. Jeśli chcielibyście używać cech innych znanych języków na platformie JVM, nie przepisując całych aplikacji - poznajcie alternatywę.
Kotlin is a statically typed language that compiles to JVM bytecode and JavaScript. While Java 8 introduced improvements like lambdas and default methods, Kotlin is still considered more elegant and concise due to features like null safety, ranges, pattern matching, data classes, extension functions, and type-safe builders. Kotlin also supports operator overloading and collection APIs that are covariant by default.
This document discusses Kotlin and the Arrow library. It provides an overview of Kotlin, describing it as an object-oriented, functional programming language that runs on the JVM and can be used for mobile, backend, and frontend development. It then covers functional programming concepts in Kotlin like higher-order functions, purity, immutability, and pattern matching. Finally, it introduces Arrow, an open source library that brings functional programming abstractions to Kotlin like data types for modeling absence, errors, and parallel errors to avoid nulls and exceptions.
This document outlines the roadmap for Scala 3 and the Dotty compiler. It discusses the goals of improving type safety, ergonomics and performance while simplifying the language. Key points include incorporating learnings from Haskell for purity without sacrificing simplicity. The roadmap aims for a 2020 release of Scala 3 with stabilization in 2019. It emphasizes the importance of community contributions and getting early feedback on Dotty releases.
Overview of Groovy language features and lead to Functional Programming in Groovy. As this is a code along session backed by this presentation, code examples are not include here as I code them live.
This document discusses new features in C# 4 including home-brew dynamic dispatch using the DynamicObject class. It allows implementing custom dynamic behavior by overriding methods like TryInvokeMember. The document also covers hosting scripting languages with the Dynamic Language Runtime (DLR), including IronPython, IronRuby, and IronScheme. Dynamic dispatch enables seamless collaboration and controlled isolation between .NET and DLR-based languages.
This document summarizes the lessons learned from converting an Android vacation rental management app from Java to Kotlin. It discusses how Kotlin reduces boilerplate code through features like data classes and class extensions. It also notes some issues that may occur, such as null values returned from Java code and lateinit property initialization, and recommends approaches like making types nullable and initializing properties early. The document advises to keep file history during conversion, manually review changes, and focus on stability by starting with non-critical flows and avoiding refactoring during conversion. Benefits mentioned include improved app stability due to reduced null pointer exceptions, increased productivity, and happier engineers working with Kotlin.
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HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
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
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.
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
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.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
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.
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.
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
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
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.
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.
2. Biography
- VP of Engineering at Webalo (webalo.com)
- Los Angeles based
- Branch in Alexandria
- UX4IIoT
- 20+ years of software development
- PhD. in software engineering
- BSc. Computer Science - Alexandria 1997
3. Programming Languages
Pascal C C++
Java
Python C# Objective-C ActionScript
Scala Ruby Octave
JavaScript
Go TypeScript Kotlin
BASIC
Swift Groovy
4. Why Many Languages Exist?
Optimized for different objectives
● Productivity
● Readability
● Portability
● Performance
○ Compile-time
○ Runtime
5. Some Notable Languages
Released By Notes
Groovy 2007 Pivotal Concise, easy-to learn, Java-interoperable, scripting
language for the JVM.
Go 2009 Google High-speed compilation compared to C , built-in
support for concurrency.
Swift 2014 Apple Many safety and syntax improvements to replace
Objective-C.
Kotlin 2016 JetBrains Designed to be “better than Java” - Interoperable for
incremental migration.
6. Kotlin Arrives!
● Paid little attention until Google I/O announcement.
● Android Studio Canary 3.
● Immediately fell in love
○ Strong Typing
○ Brevity
○ Expressiveness
○ Interoperability
○ Growing support
● Starts from where others ended (Java, Python, Go, Swift)
● One app built on github.
● Still learning.
8. Brevity
In Java, one would normally write this:
With my background, I translated this into Kotlin verbatim:
Not idiomatic but still
shorter! Can you spot
the omissions?
● No ;
● No “new”
● “override” is a modifier
● “:” not “implements”
● “public” is default
● Return type
In Java one would typically write code like this:
10. Brevity
Omit parameter type
Omit parameter name as well
Eliminate left hand side completely
Lambda expression only argument so we can eliminate the parenthesis
Omit parameter type
11. Brevity - From Java to Kotlin
to Kotlin ...
From Java ...
12. We will go through:
Brevity
Null Safety
Conditionals
Smart Cast
Lambdas
Collections
14. Null Safety - Java Optionals
Handle via Java 8 Optionals - very verbose!
Handle by convention:
- Special member naming (IfAny)
- Null checks in constructor
- Hand-coded
- Annotations
- Aspects
Or let it throw! (pun intended)
18. Conditionals - Expressions
In Kotlin, if statement is an expression
Combined with single expression function shorthand
So you can write a function like this
19. Conditionals - when
I hate “Switch” statements!
But I love “when” expressions!
1. No annoying “break” or even “case”
2. Match against any type
3. Switch variable can be of any type
4. The “else” section is mandatory
20. We will go through:
Brevity
Null Safety
Conditionals
Smart Cast
Lambdas
Collections
21. Smart Cast
In Java explicit cast is needed
In Kotlin Smart Cast takes place automatically
32. Collections - Immutability
In Java both mutable and immutable collections implement the same interface
Kotlin uses different interfaces - Compile error
34. ● Brevity
○ No semicolons
○ Optional “return”
○ Variable types
○ Omit parens in a call
○ Default imports
● Null Safety
● Closures
● Most of other Kotlin features
● And more
○ Parameterized Strings
Groovy
def list = [1, 2, 3]
list.each { println it }
person?.address.?city
def name = ‘World’
println “Hello $name!”
35. Swift
● Brevity
○ No semicolons
○ Implicit variable types
● Null Safety
● Closures
● Ranges
● Switch
○ Any type
○ Not just equality
○ No fallthrough
● Other
○ Parameterized Strings
○ Dynamic Extension
for i in 0..3 { println(“i”) }
extension Double {
c2f -> Double() {
return self * 9 / 5 + 32
}
}
…
let c = 100.0
print(c.c2f())
36. result, error := callSomeFunction()
Go
● Brevity
○ No semicolons
○ Implicit variable types
○ (But must use braces sometimes)
● Null Safety
● Switch
○ Non-constants
○ (But same type)
● Closures
● Multiple return values
● Missing some features
○ e.g. Inheritance
if i % 2 == 0 {
// even
} else {
// odd
}