Information about the Stairway to Scala Applied and Advanced courses, available in both online and on-site formats. From Escalate Software: Bill Venners and Dick Wall.
Learn the Scala programming language or take your skills further.
This document provides an overview of the Scala programming language. Some key points:
- Scala combines object-oriented and functional programming which allows it to be used for both small scripts and large systems. It runs on the Java Virtual Machine.
- Scala supports immutable and mutable data. Functions are first-class values that can be passed as arguments or returned from other functions.
- Scala code is more concise than Java by omitting semicolons and not requiring explicit data types. Variables start with 'var' and values start with 'val'.
- Scala is compatible with Java but provides additional features like richer type systems and built-in functional programming constructs.
Introduction to functional programming, with Elixirkirandanduprolu
This document introduces functional programming with Elixir. It discusses how functional programming is an alternative paradigm to object-oriented programming, with concepts like pure functions, immutable data, and functions as first-class citizens. Elixir is a functional language that runs on the Erlang VM, allowing it to easily build concurrent, distributed, and fault-tolerant systems. It provides many benefits over Erlang like better tooling and syntax. The document outlines Elixir's core concepts like modules, functions, pattern matching, and the pipeline operator and provides examples of how to work with Elixir's basic datatypes.
The document summarizes a Scala for Java developers meetup that covered why Scala, an introduction to basic Scala concepts, and a quick demo of Akka actors. Some key differences between Scala and Java highlighted include Scala's support for both object-oriented and functional programming, its ability to reduce lines of code through type inference, and its treatment of functions and numbers as objects. The meetup also covered Scala classes, case classes, pattern matching, traits, generics, and the Akka framework for building highly concurrent distributed applications on the JVM.
This document discusses object-oriented programming concepts including:
- OOP revolves around objects and classes, with classes functioning as structures and functions to define objects as instances.
- The four main OOP concepts are data abstraction, encapsulation, inheritance, and polymorphism. Data abstraction treats the class as a black box, encapsulation combines related attributes and methods together in a class, inheritance allows more generalized classes to be created from the intersection of other classes' functionality, and polymorphism allows the same name to have different functionality depending on context.
- Examples are provided of each concept to illustrate how they work in OOP.
Traits in PHP allow for sharing of methods among classes without instantiation. They provide a way to reuse code and reduce duplication. Traits are included using the 'use' keyword and resolve at compile time, making them highly coupled and difficult to test in isolation. While traits can achieve multiple inheritance, their inflexibility means other patterns like dependency injection are often preferable. Traits should be used sparingly to share simple functionality rather than as a primary means of code organization.
Vladimir Kozhaev offers freelance development services for programming languages and tools, including domain specific language development using ANTLR. ANTLR is a powerful parser generator that can be used to build languages, tools, and frameworks from a grammar specification. It generates a parser that builds parse trees from structured text or binary files. Key features of ANTLR include support for multiple programming languages as code generation targets, an active development community, and good documentation resources.
Par Choucri FAHED (@choucrifahed).
Elm est un langage simple pour écrire des applications web riches et robustes. Elm génère du JavaScript performant et surtout sans exceptions à l'exécution. Dans cette présentation, il s'agit d'introduire le langage, ses choix d'architecture, l'opposer à Scala.js et surtout montrer l'intérêt de l'utiliser dans une application web Play grâce au plugin sbt-elm.
This document provides an overview of the Scala programming language. Some key points:
- Scala combines object-oriented and functional programming which allows it to be used for both small scripts and large systems. It runs on the Java Virtual Machine.
- Scala supports immutable and mutable data. Functions are first-class values that can be passed as arguments or returned from other functions.
- Scala code is more concise than Java by omitting semicolons and not requiring explicit data types. Variables start with 'var' and values start with 'val'.
- Scala is compatible with Java but provides additional features like richer type systems and built-in functional programming constructs.
Introduction to functional programming, with Elixirkirandanduprolu
This document introduces functional programming with Elixir. It discusses how functional programming is an alternative paradigm to object-oriented programming, with concepts like pure functions, immutable data, and functions as first-class citizens. Elixir is a functional language that runs on the Erlang VM, allowing it to easily build concurrent, distributed, and fault-tolerant systems. It provides many benefits over Erlang like better tooling and syntax. The document outlines Elixir's core concepts like modules, functions, pattern matching, and the pipeline operator and provides examples of how to work with Elixir's basic datatypes.
The document summarizes a Scala for Java developers meetup that covered why Scala, an introduction to basic Scala concepts, and a quick demo of Akka actors. Some key differences between Scala and Java highlighted include Scala's support for both object-oriented and functional programming, its ability to reduce lines of code through type inference, and its treatment of functions and numbers as objects. The meetup also covered Scala classes, case classes, pattern matching, traits, generics, and the Akka framework for building highly concurrent distributed applications on the JVM.
This document discusses object-oriented programming concepts including:
- OOP revolves around objects and classes, with classes functioning as structures and functions to define objects as instances.
- The four main OOP concepts are data abstraction, encapsulation, inheritance, and polymorphism. Data abstraction treats the class as a black box, encapsulation combines related attributes and methods together in a class, inheritance allows more generalized classes to be created from the intersection of other classes' functionality, and polymorphism allows the same name to have different functionality depending on context.
- Examples are provided of each concept to illustrate how they work in OOP.
Traits in PHP allow for sharing of methods among classes without instantiation. They provide a way to reuse code and reduce duplication. Traits are included using the 'use' keyword and resolve at compile time, making them highly coupled and difficult to test in isolation. While traits can achieve multiple inheritance, their inflexibility means other patterns like dependency injection are often preferable. Traits should be used sparingly to share simple functionality rather than as a primary means of code organization.
Vladimir Kozhaev offers freelance development services for programming languages and tools, including domain specific language development using ANTLR. ANTLR is a powerful parser generator that can be used to build languages, tools, and frameworks from a grammar specification. It generates a parser that builds parse trees from structured text or binary files. Key features of ANTLR include support for multiple programming languages as code generation targets, an active development community, and good documentation resources.
Par Choucri FAHED (@choucrifahed).
Elm est un langage simple pour écrire des applications web riches et robustes. Elm génère du JavaScript performant et surtout sans exceptions à l'exécution. Dans cette présentation, il s'agit d'introduire le langage, ses choix d'architecture, l'opposer à Scala.js et surtout montrer l'intérêt de l'utiliser dans une application web Play grâce au plugin sbt-elm.
This document covers various object-oriented programming concepts in C++ including constructors, destructors, copy constructors, interfaces, abstract classes, inheritance, namespaces, shallow copying, deep copying, static variables, functions and more. It provides examples and explanations of these concepts and asks questions to test understanding.
Scala is a good choice for building Web 2.0 applications because it runs on the JVM like Java and other dynamic languages, has features that make concurrency simple and predictable, and has a large and growing community and ecosystem of tools, libraries, and frameworks. While Scala adds some complexity, its benefits of performance, flexibility, and productivity make it worth learning.
This speaker is a serial language enthusiast who has programmed in many languages for both work and personal projects. For their work at Twitter, they were looking to move away from primarily using Ruby due to performance and cultural issues it presented for building large systems. They settled on adopting Scala at Twitter as it met their personal criteria of being fast, functional, expressive, statically typed, concurrent, and beautiful to work with.
Talk at ZGPHP meetup #50
Video of the talk:
http://zgphp.org/videos/zgphp-stipe-predanic-achieving-the-norm-with-idiorm/
http://zgphp.org/
http://www.meetup.com/ZgPHP-meetup/events/225442690/
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.
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.
The document discusses problems with imperative code and how functional programming ideas in C# can help address these problems. It introduces delegates as a way to treat code as data by storing functions in variables and passing them as parameters. This allows separating logic from execution through higher-order functions like mapping and filtering collections. Lambdas and closures make code more concise. Together these techniques help write less, more reusable code with fewer bugs.
OpenTripPlanner-Informations Tecs ProjectTasos Patris
The document discusses OpenTripPlanner (OTP), an open source multi-modal trip planning system. It notes that OTP contains over 120,000 lines of code, making it difficult to fully understand. It presents a simplified UML diagram to better explain OTP's objects and architecture. The document outlines their plan to first spend a week exploring the code, then attempt contributions in weeks 2-3 by fixing implementable issues or finding other important issues to address. It directs readers to their blog for more information.
Class is a blueprint that represents common objects and contains their shared elements. An object is an instance of a class that has a specific state and behavior. Java supports object-oriented programming concepts like encapsulation, inheritance, and polymorphism. It is a popular language that is hardware independent, allowing programs to run on different platforms.
This document discusses object-oriented programming (OOP) and functional programming (FP), arguing that they are not opposing paradigms and instead can complement each other. It provides history on the development of OOP and FP. Key points made include: 1) OOP principles like immutability and closure/high-order functions indicate consistency with FP; 2) Neither paradigm will solve all problems on its own and both are subject to misuse; 3) A false dichotomy exists between OOP vs FP - they can be used together; 4) Future paradigm shifts will come from better tools augmenting human intellect rather than from "normal science" improvements to languages.
- Andre Pemmelaar has experience in quantitative finance and uses Julia for statistical arbitrage and algorithmic trading.
- He discusses his journey to adopting Julia including initial skepticism due to immaturity, but finding the language easy to use for reinforcement learning and order book simulation projects.
- Pemmelaar provides tips for introducing Julia to others within an organization, including documenting examples to overcome lack of documentation, choosing a standardized environment to ease troubleshooting, and showing success stories to gain adoption.
The presentation covers ANTLR and its testing. In the presentation we will discuss what is grammar and how its been parsed into its corresponding parse tree. Then we will focus on the stages of the process of parsing. We will then understand what is ANTLR and will see some of the companies exploring features of ANTLR. Towards the end of the discussion we discuss how to test weather an input string is correct with respect to a grammar or not using TestRig along with the demonstration.
You may refer following blog:
https://blog.knoldus.com/2016/04/29/testing-grammar-using-antlr4-testrig-grun/
Sherlock is an NLP transfer learning platform that allows users to easily create text classifiers using small datasets. It provides APIs to train models using BERT pre-trained language models and to label datasets with the trained models. The platform addresses common issues in deploying models in production using Docker, TensorFlow, and GPUs. It demonstrates that models using BERT can achieve high accuracy even with small training datasets of 500 samples or less.
Metaprogramming involves writing code that manipulates language constructs and generates or modifies code at runtime. This allows developers to define domain-specific languages, remove duplications, and enhance Ruby's core functionality. Everything in Ruby is an object, including classes and modules. Metaprogramming techniques like monkey patching, dynamic methods, and refinements allow modifying classes and modules at runtime. However, metaprogramming should be avoided when possible, as it can reduce code readability and maintainability.
Java is a widely used programming language that was created in 1991. It is an object-oriented language that is platform independent and runs on a virtual machine. Key features of Java include being simple, object-oriented, robust, secure, and portable. The Java runtime environment includes the Java virtual machine which executes Java bytecode. Common uses of Java include developing desktop and web applications, mobile apps, and embedded systems.
Natural Language to Visualization by Neural Machine Translationivaderivader
This document summarizes a method called ncNet that uses neural machine translation to translate natural language queries to Vega-Zero visualization specifications. Key points include:
- ncNet is a Transformer-based seq2seq model that can translate natural language queries about data into specifications for visualizations.
- It uses techniques like attention forcing and visualization-aware translation to generate valid Vega-Zero outputs from the queries.
- An evaluation compares ncNet to existing methods on a dataset of natural language queries paired with Vega-Zero specifications, finding it outperforms baselines.
Enroll for Expert Level Online Scala Training By Spiritsofts,
Learn Apache Scala Training with certified Experts. Enroll Today Demo for free & you will find Spiritsofts is the best Online Training Institute within reasonable fee, updated course material.
Spiritsofts is the best Training Institute to expand your skills and knowledge. We Provides the best learning Environment. Obtain all the training by our expert professionals which is having working experience from Top IT companies.
The Institute is continuously upgrading and updating along with the current industry needs.
Live Interaction with Trainer. The Training in is every thing we explained based on real time scenarios,it works which we do in companies.
Experts Training sessions will absolutely help you to get in-depth knowledge on the subject.
This document discusses reactive software systems and programming paradigms like functional programming. It introduces concepts like actors, futures, and message passing from frameworks like Akka that help build responsive and resilient reactive applications. The document also covers Scala features for functional programming like immutability, pattern matching, and actors from the Akka framework in Scala.
This presentation is for enterprises that are considering adopting Scala. The author is managing editor of http://scalacourses.com, which offers self-paced online courses that teach Introductory and Intermediate Scala and Play Framework.
#1 The diversity of terminology shows the large spectrum of shapes DSLs can take.
#2 As syntax and development environment matter, DSLs should allow the user to choose the right shape according to their usage or task.
#3 A metamorphic DSL vision is proposed where DSLs can adapt to the most appropriate shape, including transitioning between shapes based on usage or task.
This document covers various object-oriented programming concepts in C++ including constructors, destructors, copy constructors, interfaces, abstract classes, inheritance, namespaces, shallow copying, deep copying, static variables, functions and more. It provides examples and explanations of these concepts and asks questions to test understanding.
Scala is a good choice for building Web 2.0 applications because it runs on the JVM like Java and other dynamic languages, has features that make concurrency simple and predictable, and has a large and growing community and ecosystem of tools, libraries, and frameworks. While Scala adds some complexity, its benefits of performance, flexibility, and productivity make it worth learning.
This speaker is a serial language enthusiast who has programmed in many languages for both work and personal projects. For their work at Twitter, they were looking to move away from primarily using Ruby due to performance and cultural issues it presented for building large systems. They settled on adopting Scala at Twitter as it met their personal criteria of being fast, functional, expressive, statically typed, concurrent, and beautiful to work with.
Talk at ZGPHP meetup #50
Video of the talk:
http://zgphp.org/videos/zgphp-stipe-predanic-achieving-the-norm-with-idiorm/
http://zgphp.org/
http://www.meetup.com/ZgPHP-meetup/events/225442690/
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.
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.
The document discusses problems with imperative code and how functional programming ideas in C# can help address these problems. It introduces delegates as a way to treat code as data by storing functions in variables and passing them as parameters. This allows separating logic from execution through higher-order functions like mapping and filtering collections. Lambdas and closures make code more concise. Together these techniques help write less, more reusable code with fewer bugs.
OpenTripPlanner-Informations Tecs ProjectTasos Patris
The document discusses OpenTripPlanner (OTP), an open source multi-modal trip planning system. It notes that OTP contains over 120,000 lines of code, making it difficult to fully understand. It presents a simplified UML diagram to better explain OTP's objects and architecture. The document outlines their plan to first spend a week exploring the code, then attempt contributions in weeks 2-3 by fixing implementable issues or finding other important issues to address. It directs readers to their blog for more information.
Class is a blueprint that represents common objects and contains their shared elements. An object is an instance of a class that has a specific state and behavior. Java supports object-oriented programming concepts like encapsulation, inheritance, and polymorphism. It is a popular language that is hardware independent, allowing programs to run on different platforms.
This document discusses object-oriented programming (OOP) and functional programming (FP), arguing that they are not opposing paradigms and instead can complement each other. It provides history on the development of OOP and FP. Key points made include: 1) OOP principles like immutability and closure/high-order functions indicate consistency with FP; 2) Neither paradigm will solve all problems on its own and both are subject to misuse; 3) A false dichotomy exists between OOP vs FP - they can be used together; 4) Future paradigm shifts will come from better tools augmenting human intellect rather than from "normal science" improvements to languages.
- Andre Pemmelaar has experience in quantitative finance and uses Julia for statistical arbitrage and algorithmic trading.
- He discusses his journey to adopting Julia including initial skepticism due to immaturity, but finding the language easy to use for reinforcement learning and order book simulation projects.
- Pemmelaar provides tips for introducing Julia to others within an organization, including documenting examples to overcome lack of documentation, choosing a standardized environment to ease troubleshooting, and showing success stories to gain adoption.
The presentation covers ANTLR and its testing. In the presentation we will discuss what is grammar and how its been parsed into its corresponding parse tree. Then we will focus on the stages of the process of parsing. We will then understand what is ANTLR and will see some of the companies exploring features of ANTLR. Towards the end of the discussion we discuss how to test weather an input string is correct with respect to a grammar or not using TestRig along with the demonstration.
You may refer following blog:
https://blog.knoldus.com/2016/04/29/testing-grammar-using-antlr4-testrig-grun/
Sherlock is an NLP transfer learning platform that allows users to easily create text classifiers using small datasets. It provides APIs to train models using BERT pre-trained language models and to label datasets with the trained models. The platform addresses common issues in deploying models in production using Docker, TensorFlow, and GPUs. It demonstrates that models using BERT can achieve high accuracy even with small training datasets of 500 samples or less.
Metaprogramming involves writing code that manipulates language constructs and generates or modifies code at runtime. This allows developers to define domain-specific languages, remove duplications, and enhance Ruby's core functionality. Everything in Ruby is an object, including classes and modules. Metaprogramming techniques like monkey patching, dynamic methods, and refinements allow modifying classes and modules at runtime. However, metaprogramming should be avoided when possible, as it can reduce code readability and maintainability.
Java is a widely used programming language that was created in 1991. It is an object-oriented language that is platform independent and runs on a virtual machine. Key features of Java include being simple, object-oriented, robust, secure, and portable. The Java runtime environment includes the Java virtual machine which executes Java bytecode. Common uses of Java include developing desktop and web applications, mobile apps, and embedded systems.
Natural Language to Visualization by Neural Machine Translationivaderivader
This document summarizes a method called ncNet that uses neural machine translation to translate natural language queries to Vega-Zero visualization specifications. Key points include:
- ncNet is a Transformer-based seq2seq model that can translate natural language queries about data into specifications for visualizations.
- It uses techniques like attention forcing and visualization-aware translation to generate valid Vega-Zero outputs from the queries.
- An evaluation compares ncNet to existing methods on a dataset of natural language queries paired with Vega-Zero specifications, finding it outperforms baselines.
Enroll for Expert Level Online Scala Training By Spiritsofts,
Learn Apache Scala Training with certified Experts. Enroll Today Demo for free & you will find Spiritsofts is the best Online Training Institute within reasonable fee, updated course material.
Spiritsofts is the best Training Institute to expand your skills and knowledge. We Provides the best learning Environment. Obtain all the training by our expert professionals which is having working experience from Top IT companies.
The Institute is continuously upgrading and updating along with the current industry needs.
Live Interaction with Trainer. The Training in is every thing we explained based on real time scenarios,it works which we do in companies.
Experts Training sessions will absolutely help you to get in-depth knowledge on the subject.
This document discusses reactive software systems and programming paradigms like functional programming. It introduces concepts like actors, futures, and message passing from frameworks like Akka that help build responsive and resilient reactive applications. The document also covers Scala features for functional programming like immutability, pattern matching, and actors from the Akka framework in Scala.
This presentation is for enterprises that are considering adopting Scala. The author is managing editor of http://scalacourses.com, which offers self-paced online courses that teach Introductory and Intermediate Scala and Play Framework.
#1 The diversity of terminology shows the large spectrum of shapes DSLs can take.
#2 As syntax and development environment matter, DSLs should allow the user to choose the right shape according to their usage or task.
#3 A metamorphic DSL vision is proposed where DSLs can adapt to the most appropriate shape, including transitioning between shapes based on usage or task.
Develop realtime web with Scala and XitrumNgoc Dao
This document discusses a talk given by Ngoc Dao on developing realtime and distributed web applications with Scala and Xitrum. The talk covers:
1) An overview of Scala, including its functional features, object-oriented features, tools like SBT and REPL, and how to get started.
2) Using Scala for web development with the Xitrum framework, including routing, responding to requests, internationalization, and metrics.
3) Using Scala for concurrency with futures, actors, and Akka FSM.
4) Building realtime web applications with websockets, Socket.IO and SockJS.
5) Distributed systems with Akka remoting
Scala is an object-functional language that runs on the JVM. It supports both object-oriented and functional programming paradigms. Some key features include immutable data structures, pattern matching, strong static typing with type inference, and concurrency through immutable shared state. Popular Scala libraries include Slick for database access, Akka for actors, and Play as a web framework. Scala also enables internal and external domain-specific languages through features like implicits.
This document provides an overview of functional programming concepts in Scala. It discusses the history and advantages of functional programming. It then covers the basics of Scala including its support for object oriented and functional programming. Key functional programming aspects of Scala like immutable data, higher order functions, and implicit parameters are explained with examples.
Did you miss Scala Days 2015 in San Francisco? Have no fear! BoldRadius was there and we've compiled the best of the best! Here are the highlights of a great conference.
This document compares Scala and Ruby programming languages. It discusses their similarities in syntax and semantics, as well as differences in their standard library approaches and community cultures. The author argues that the Scala community could benefit from aspects of Ruby's community, such as establishing a "Scala way" and being less dismissive of newcomers. The document also suggests Scala could improve its standard libraries for common scripting tasks.
NUS Hackers Club Mar 21 - Whats New in JavaSE 8?Chuk-Munn Lee
The document summarizes new features in Java SE 8, including lambda expressions, default methods, streams, date and time API improvements, and more. It discusses how these features help address issues with concurrency, modularization of the Java platform, and support for dynamic languages on the JVM.
An Introduction to Scala - Blending OO and Functional ParadigmsMiles Sabin
Scala is a programming language that blends object-oriented and functional programming. It is designed to be compatible with Java and runs on the JVM. Scala has features like functions as first-class values, pattern matching, and immutable data structures. It aims to improve on Java syntax and provides tools like case classes and for comprehensions. Scala sees growing adoption in companies like Twitter and LinkedIn and future releases will continue to explore new type systems and features.
The document summarizes Martin Odersky's talk at Scala Days 2016 about the road ahead for Scala. The key points are:
1. Scala is maturing with improvements to tools like IDEs and build tools in 2015, while 2016 sees increased activity with the Scala Center, Scala 2.12 release, and rethinking Scala libraries.
2. The Scala Center was formed to undertake projects benefiting the Scala community with support from various companies.
3. Scala 2.12 focuses on optimizing for Java 8 and includes many new features. Future releases will focus on improving Scala libraries and modularization.
4. The DOT calculus provides a formal
This document discusses programming language paradigms. It defines a paradigm as a style of thinking to solve problems. Programming language paradigms refer to how a language views problems to be solved. The main types discussed are imperative, declarative, procedural, object-oriented, parallel processing, logic, functional, and database paradigms. Different problems require different paradigms. Knowing the paradigm first allows coding a language in the intended way. The document examines characteristics of each paradigm type and provides examples of languages that fall under each.
With Java 8 adoption skyrocketing, is Scala still relevant? In our opinion, the answer is an unequivocal yes. To make our point, Tomer Gabel (system architect at Wix) will showcase practical examples where Scala's features provide a definitive advantage over Java 8. These include:
* Effective logging with traits and by-name parameters;
* Pattern matching for fun and profit;
* Type-safe, efficient serialization with type classes.
A talk given at a Wix Ukraine R&D meetup in Dnipropetrovsk, Ukraine on 6 April, 2016.
Video recording: https://youtu.be/EXxA3PlcdBg?t=3680
Sample code: https://github.com/holograph/scala-vs-java8
The document discusses the rise of functional programming. It provides an example comparing an imperative solution in Java to sum the ages of persons over 20 to a functional solution. The functional solution uses reduction and has no mutable state. Functional programming is described as writing what you want, not how to do it, with everything being a function. Benefits mentioned include stateless programming which aids reasoning, easy distribution and parallelism, and easier program proof. The document also briefly mentions functional languages like Haskell and Erlang, as well as Java's addition of lambda expressions in Java 8 to provide more functional capabilities.
This document provides an overview of a Scala module being taught at Trinity College Dublin in November 2012. It will include a 90 minute lecture introducing Scala, and two labs: the first rewriting a Java program in Scala, and the second integrating Scala with Java using Apache Commons. The goals are to kickstart learning Scala so students can continue on their own, focusing on the language and development environment rather than functional programming concepts. The module will use Git, SBT, Scala, ScalaTest, and an IDE like IntelliJ or Eclipse. Resources listed for further learning include the Scala website, Coursera course, and Scala puzzles and problems.
TypeScript is a typed superset of JavaScript that compiles to plain JavaScript. It adds static typing and structuring mechanisms like classes, interfaces, and modules to JavaScript to help catch errors and provide better documentation for large scale JavaScript application development. Some key features of TypeScript include optional static types for functions and variables, classes with inheritance and static methods, interfaces, modules, generics, and type inference.
Neo4j - Product Vision and Knowledge Graphs - GraphSummit ParisNeo4j
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
SOCRadar's Aviation Industry Q1 Incident Report is out now!
The aviation industry has always been a prime target for cybercriminals due to its critical infrastructure and high stakes. In the first quarter of 2024, the sector faced an alarming surge in cybersecurity threats, revealing its vulnerabilities and the relentless sophistication of cyber attackers.
SOCRadar’s Aviation Industry, Quarterly Incident Report, provides an in-depth analysis of these threats, detected and examined through our extensive monitoring of hacker forums, Telegram channels, and dark web platforms.
Transform Your Communication with Cloud-Based IVR SolutionsTheSMSPoint
Discover the power of Cloud-Based IVR Solutions to streamline communication processes. Embrace scalability and cost-efficiency while enhancing customer experiences with features like automated call routing and voice recognition. Accessible from anywhere, these solutions integrate seamlessly with existing systems, providing real-time analytics for continuous improvement. Revolutionize your communication strategy today with Cloud-Based IVR Solutions. Learn more at: https://thesmspoint.com/channel/cloud-telephony
What is Master Data Management by PiLog Groupaymanquadri279
PiLog Group's Master Data Record Manager (MDRM) is a sophisticated enterprise solution designed to ensure data accuracy, consistency, and governance across various business functions. MDRM integrates advanced data management technologies to cleanse, classify, and standardize master data, thereby enhancing data quality and operational efficiency.
Everything You Need to Know About X-Sign: The eSign Functionality of XfilesPr...XfilesPro
Wondering how X-Sign gained popularity in a quick time span? This eSign functionality of XfilesPro DocuPrime has many advancements to offer for Salesforce users. Explore them now!
UI5con 2024 - Bring Your Own Design SystemPeter Muessig
How do you combine the OpenUI5/SAPUI5 programming model with a design system that makes its controls available as Web Components? Since OpenUI5/SAPUI5 1.120, the framework supports the integration of any Web Components. This makes it possible, for example, to natively embed own Web Components of your design system which are created with Stencil. The integration embeds the Web Components in a way that they can be used naturally in XMLViews, like with standard UI5 controls, and can be bound with data binding. Learn how you can also make use of the Web Components base class in OpenUI5/SAPUI5 to also integrate your Web Components and get inspired by the solution to generate a custom UI5 library providing the Web Components control wrappers for the native ones.
Measures in SQL (SIGMOD 2024, Santiago, Chile)Julian Hyde
SQL has attained widespread adoption, but Business Intelligence tools still use their own higher level languages based upon a multidimensional paradigm. Composable calculations are what is missing from SQL, and we propose a new kind of column, called a measure, that attaches a calculation to a table. Like regular tables, tables with measures are composable and closed when used in queries.
SQL-with-measures has the power, conciseness and reusability of multidimensional languages but retains SQL semantics. Measure invocations can be expanded in place to simple, clear SQL.
To define the evaluation semantics for measures, we introduce context-sensitive expressions (a way to evaluate multidimensional expressions that is consistent with existing SQL semantics), a concept called evaluation context, and several operations for setting and modifying the evaluation context.
A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
Microservice Teams - How the cloud changes the way we workSven Peters
A lot of technical challenges and complexity come with building a cloud-native and distributed architecture. The way we develop backend software has fundamentally changed in the last ten years. Managing a microservices architecture demands a lot of us to ensure observability and operational resiliency. But did you also change the way you run your development teams?
Sven will talk about Atlassian’s journey from a monolith to a multi-tenanted architecture and how it affected the way the engineering teams work. You will learn how we shifted to service ownership, moved to more autonomous teams (and its challenges), and established platform and enablement teams.
OpenMetadata Community Meeting - 5th June 2024OpenMetadata
The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
* How to run your own data quality framework
* What is the performance impact of running data quality frameworks
* How to run the test cases in your own ETL pipelines
* How the Incident Manager is integrated
* Get notified with alerts when test cases fail
Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
8 Best Automated Android App Testing Tool and Framework in 2024.pdfkalichargn70th171
Regarding mobile operating systems, two major players dominate our thoughts: Android and iPhone. With Android leading the market, software development companies are focused on delivering apps compatible with this OS. Ensuring an app's functionality across various Android devices, OS versions, and hardware specifications is critical, making Android app testing essential.
UI5con 2024 - Keynote: Latest News about UI5 and it’s EcosystemPeter Muessig
Learn about the latest innovations in and around OpenUI5/SAPUI5: UI5 Tooling, UI5 linter, UI5 Web Components, Web Components Integration, UI5 2.x, UI5 GenAI.
Recording:
https://www.youtube.com/live/MSdGLG2zLy8?si=INxBHTqkwHhxV5Ta&t=0
Atelier - Innover avec l’IA Générative et les graphes de connaissancesNeo4j
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
1. Learn Scala Now
Stairway to Scala
Bill Venners
Dick Wall
Copyright (c) 2010-2015 Escalate Software Inc.
All Rights Reserved.
escalatesoft.com
2. About Our Courses
Stairway to Scala Applied
Day-to-day skills for working in Scala
Stairway to Scala Advanced
In-depth for expert library and API
developers
Scala Experts Training Course Programming Language
http://scalacourse.com/
3. ● No prior knowledge of Scala assumed
● Some programming experience (other languages) required
● Emphasizes Functional Programming style
● Multiple Short Theory Sessions (30-45 minutes)
● Test driven exercises for each theory session
● Separated into 3 distinct parts
Stairway to Scala Applied
4. ● Scala language basics
● Using the REPL
● Expressions and Statements
● val vs var
● Classes and Objects
● Built in Control Structures
● Functions and Closures
● Control Abstractions
Stairway to Scala Applied - Part 1 Topics
5. ● Composition, Inheritance, Sub-typing
● Scala’s Type Hierarchy
● Top and Bottom Types
● Optional Types using Option
● Traits, Multiple Inheritance, Linearization
● Packages and Imports
● Assertions, Unit Testing
Stairway to Scala Applied - Part 2 Topics
6. ● Case Classes
● Pattern Matching
● Futures, Promises, Actors
● Scala Collections API (Sequences, Sets, Maps, etc.)
● Using Java Libraries in Scala
● Mixing Scala and Java on Projects
● Building with SBT (and Activator)
● Custom SBT Settings and Tasks
Stairway to Scala Applied - Part 3 Topics
7. ● Using Mutable State (with care), Caching, Encapsulating
● Type Parameterization
● Co- and Contra-Variance
● Abstract Members, Fields and Types
● Implicits Conversions, Parameters
● Implicit Context, Type Classes
Stairway to Scala Advanced - Part 1 Topics
8. ● XML and JSON Serialization and Manipulation
● Modular Programming
● Dependencies (Cake/Parfait)
● Custom Extractors (unapply, unapplySeq)
● Scala Idioms and Best Practices
● Internal DSLs (Domain Specific Languages)
Stairway to Scala Advanced - Part 2 Topics
9. ● Design Patterns in Scala
● Tail Calls and Trampolines
● Monoids, Functors and Monads
● Parser Combinators
● External DSLs
● Macros
Stairway to Scala Advanced - Part 3 Topics
10. ● Have extensive, hands on exercises
○ Spend as much time doing as learning
● Use the same tools you will use on your projects
○ SBT, IDE (Eclipse, IDEA, your choice of editor), REPL
● Applied available online or in-person
● Advanced available in-person (online coming soon)
Stairway to Scala - Both Courses
11. ● Same Materials, Slides and Exercises
● Online - http://scalacourse.com/
○ Self paced
○ Lower cost
● In-person - http://www.escalatesoft.com/training
○ Learn directly from authors
○ Faster, more intense
○ Minimum class size - 12-25 students recommended
Online or In-Person, you choose