Scala is a general purpose programming language designed to express common programming patterns in a concise, elegant, and type-safe way. It has established itself as one of the main alternative languages on the Java Virtual Machine, being used by companies like Twitter and LinkedIn. Scala fuses functional programming (from which it borrows higher-order functions and closures, generic typing and immutable data structures) and object-oriented programming programming (from which it takes inheritance and encapsulation). It interoperates fully with Java, allowing a smooth transition and access to all existing Java libraries.
Scala’s lightweight syntax makes it easy to extend the language through DSLs. In this talk we are going to have a quick overview of Scala’s main features (closures, higher-order functions, implicits), and collection classes in the standard library. We’ll see how a new concurrency model, such as actors, can be added to the language through a library.
Category theory concepts such as objects, arrows, and composition directly map to concepts in Scala. Objects represent types, arrows represent functions between types, and composition represents function composition. Scala examples demonstrate how category theory diagrams commute, with projection functions mapping to tuple accessors. Thinking in terms of interfaces and duality enriches both category theory and programming language concepts. Learning category theory provides a uniform way to reason about programming language structures and properties of data types.
Scala is an object-oriented and functional programming language that runs on the Java Virtual Machine. It was designed by Martin Odersky and developed at EPFL in Switzerland. Scala combines object-oriented and functional programming principles, including support for immutable data structures, pattern matching, and closures. It interoperates seamlessly with existing Java code and libraries.
The Scala programming language has been gaining momentum recently as an alternative (and some might say successor) to Java on the JVM. This talk will start with an introduction to basic Scala syntax and concepts, then delve into some of Scala's more interesting and unique features. At the end we'll show a brief example of how Scala is used by the Lift web framework to simplify dynamic web apps.
I used these slides for a Scala workshop that I gave. They are based on these: http://www.scala-lang.org/node/4454. Thanks to Alf Kristian Støyle and Fredrik Vraalsen for sharing!
This document introduces developing a Scala DSL for Apache Camel. It discusses using Scala techniques like implicit conversion, passing functions as parameters, by-name parameters and currying to build a DSL. It provides examples of building simple routes in the Scala DSL using these techniques and compares them to the Java DSL. It also covers some caveats like interactions between Java and Scala generics and operator precedence. The goal is to introduce basic Scala concepts and syntax that can be used to build a Scala DSL, using Apache Camel as an example.
Functional Objects & Function and ClosuresSandip Kumar
Scala functions are objects that implement traits like Function1. Functions are treated as objects with an apply method. When a function is defined as a method in a class, it is treated differently than a standalone function. Functions can take variable arguments using a * notation and have default parameter values specified.
Scala is a multi-paradigm programming language that runs on the Java Virtual Machine. It is intended to be both object-oriented and functional. Scala is compatible with Java and allows Java code to interoperate with Scala code. Some key features of Scala include type inference, lazy evaluation, treating methods as variables, and support for both object-oriented and functional programming paradigms.
Scala is a general purpose programming language designed to express common programming patterns in a concise, elegant, and type-safe way. It has established itself as one of the main alternative languages on the Java Virtual Machine, being used by companies like Twitter and LinkedIn. Scala fuses functional programming (from which it borrows higher-order functions and closures, generic typing and immutable data structures) and object-oriented programming programming (from which it takes inheritance and encapsulation). It interoperates fully with Java, allowing a smooth transition and access to all existing Java libraries.
Scala’s lightweight syntax makes it easy to extend the language through DSLs. In this talk we are going to have a quick overview of Scala’s main features (closures, higher-order functions, implicits), and collection classes in the standard library. We’ll see how a new concurrency model, such as actors, can be added to the language through a library.
Category theory concepts such as objects, arrows, and composition directly map to concepts in Scala. Objects represent types, arrows represent functions between types, and composition represents function composition. Scala examples demonstrate how category theory diagrams commute, with projection functions mapping to tuple accessors. Thinking in terms of interfaces and duality enriches both category theory and programming language concepts. Learning category theory provides a uniform way to reason about programming language structures and properties of data types.
Scala is an object-oriented and functional programming language that runs on the Java Virtual Machine. It was designed by Martin Odersky and developed at EPFL in Switzerland. Scala combines object-oriented and functional programming principles, including support for immutable data structures, pattern matching, and closures. It interoperates seamlessly with existing Java code and libraries.
The Scala programming language has been gaining momentum recently as an alternative (and some might say successor) to Java on the JVM. This talk will start with an introduction to basic Scala syntax and concepts, then delve into some of Scala's more interesting and unique features. At the end we'll show a brief example of how Scala is used by the Lift web framework to simplify dynamic web apps.
I used these slides for a Scala workshop that I gave. They are based on these: http://www.scala-lang.org/node/4454. Thanks to Alf Kristian Støyle and Fredrik Vraalsen for sharing!
This document introduces developing a Scala DSL for Apache Camel. It discusses using Scala techniques like implicit conversion, passing functions as parameters, by-name parameters and currying to build a DSL. It provides examples of building simple routes in the Scala DSL using these techniques and compares them to the Java DSL. It also covers some caveats like interactions between Java and Scala generics and operator precedence. The goal is to introduce basic Scala concepts and syntax that can be used to build a Scala DSL, using Apache Camel as an example.
Functional Objects & Function and ClosuresSandip Kumar
Scala functions are objects that implement traits like Function1. Functions are treated as objects with an apply method. When a function is defined as a method in a class, it is treated differently than a standalone function. Functions can take variable arguments using a * notation and have default parameter values specified.
Scala is a multi-paradigm programming language that runs on the Java Virtual Machine. It is intended to be both object-oriented and functional. Scala is compatible with Java and allows Java code to interoperate with Scala code. Some key features of Scala include type inference, lazy evaluation, treating methods as variables, and support for both object-oriented and functional programming paradigms.
This document discusses how the Scala programming language unifies functional programming and object-oriented programming concepts to better support component-based software development. It presents three ways Scala unifies previously separate concepts: 1) algebraic data types are implemented as class hierarchies, 2) functions are treated as objects, and 3) modules are implemented as objects. This allows Scala to leverage the strengths of both paradigms while removing limitations of existing languages for component programming.
Scala is a multi-paradigm language that runs on the JVM and interoperates with Java code and libraries. It combines object-oriented and functional programming by allowing functions to be treated as objects and supports features like traits, pattern matching, and immutable data structures. The Scala compiler infers types and generates boilerplate code like getters/setters, making development more productive compared to Java. While Scala has a learning curve, it allows a more concise and scalable language for building applications.
Starting with Scala : Frontier Developer's Meetup December 2010Derek Chen-Becker
This document provides an overview of the Scala programming language presented at a meetup event. It discusses Scala's history and pedigree, being created by Martin Odersky. It outlines some key aspects of Scala like being object-oriented, functional, and working on the JVM. The talk covers Scala fundamentals like immutable values, mutable variables, functions, and objects. It also discusses traits, classes, case classes and more Scala concepts.
The Scala Programming Language was presented with the goals of creating a language that better supports component software and unifies object-oriented and functional programming. Scala is statically typed and supports both object-oriented and functional programming paradigms through features like traits, views, and variance annotations. It also aims to improve on concepts from Java and other languages through ideas like mixins and compound types.
This document summarizes Martin Odersky's opening address at Scala eXchange in 2011 about the past, present and future of Scala. It discusses Scala's trajectory over the past 10 years from its initial development to widespread industrial adoption. It identifies concurrency and parallelism as a key concern going forward and outlines Scala's tools for both implicit and explicit parallel programming.
An Introduction to Scala for Java DevelopersMiles Sabin
The document provides an introduction to Scala for Java developers. It outlines key features of Scala including cleaning up Java syntax, going beyond Java with features like case classes, traits, and pattern matching, and its functional focus including support for higher-order functions, the Option type, and for comprehensions. The document also briefly discusses the Scala IDE for Eclipse.
Short (45 min) version of my 'Pragmatic Real-World Scala' talk. Discussing patterns and idioms discovered during 1.5 years of building a production system for finance; portfolio management and simulation.
Oscon keynote: Working hard to keep it simpleMartin Odersky
The document discusses how Scala aims to make parallel and concurrent programming easier by avoiding mutable state and enabling a functional programming style, and it presents Scala as a language that unifies object-oriented and functional programming in a way that allows both sequential and parallel applications to be written safely and efficiently. Examples are given of how parallel collections and actors can be used in Scala for parallelism and concurrency, and how domain-specific languages embedded in Scala can help program parallel applications for different domains like physics simulation.
Miles Sabin Introduction To Scala For Java DevelopersSkills Matter
Scala is a programming language that blends object-oriented and functional programming styles. It is designed to interoperate with Java code and runs on the Java Virtual Machine. Some key features of Scala include case classes, pattern matching, traits for mixing behavior, and immutable data structures. Scala code compiles to Java bytecode, allowing seamless use of Java libraries and tools.
Scala is a multi-paradigm programming language that runs on the Java Virtual Machine. It integrates features of functional programming and object-oriented programming, allowing both procedural and functional styles. Some key benefits of Scala include its ability to handle concurrency and parallelism through actors, support for both static and dynamic typing, and interoperability with Java.
Scala: Object-Oriented Meets Functional, by Iulian Dragos3Pillar Global
A presentation from Iulian Dragos of Typesafe that gives an overview of the Scala programming language. The presentation was given at a Functional Angle conference in Timisoara, Romania sponsored by 3Pillar. Iulian Dragos has been working on Scala since 2004. He currently works for Typesafe, a start-up that was co-founded by Scala’s creator, Martin Odersky.
Scala is a powerful language for the JVM that is compatible with JDK 1.5+. It is a functional language maintained by Typesafe along with the community. Scala compiles to JVM bytecode like Java but has features like objects, traits, pattern matching and functional programming. James Gosling, the creator of Java, said that if he were to pick a language other than Java today, it would be Scala.
Scala aims to unify functional and object-oriented programming to better support component-based software development. It does this by (1) treating algebraic data types as extensible class hierarchies, (2) treating functions as objects with apply methods, and (3) allowing functions and modules to be specialized. This provides capabilities like partial functions and actor-based concurrency in a library rather than as language features. Event-based actors implemented as a library can outperform threaded actors for high numbers of actors.
Martin Odersky discusses the past, present, and future of Scala over the past 5 years and next 5 years. Key points include:
- Scala has grown significantly in usage and community over the past 6 years since its first release.
- Scala 2.8 will include improvements like new collections, package objects, named/default parameters, and better tool support.
- Over the next 5 years, Scala will focus on improving concurrency and parallelism through better abstractions, analyses, and static typing support.
The document discusses Scala, a programming language designed to be scalable. It can be used for both small and large programs. Scala combines object-oriented and functional programming. It interoperates seamlessly with Java but allows developers to add new constructs like actors through libraries. The Scala community is growing, with industrial adoption starting at companies like Twitter.
Programming Android Application in Scala.Brian Hsu
The document discusses using Scala to develop Android applications. Scala allows satisfying three desires at once: REPL, scripting, and compiling. It supports traits for mixin composition, functional programming, static typing with duck typing. SBT is introduced as a build tool for Scala/Android projects that does not require configuration and supports continuous compilation with an Android plugin. Live demos show installing SBT/SBT-Android and creating a sample Scala/Android project. Some limitations of Scala with Android like accessing static protected Java fields are also mentioned.
The document provides an overview of the Scala programming language. It begins with an agenda that outlines topics like differences between Java and Scala, Scala data types, variables, classes, functions, closures, exception handling and collections. It then discusses specific aspects of Scala like verbosity reduction compared to Java, functional programming influences, object-oriented features, interoperability with Java and compilation to Java bytecode. Examples are provided to illustrate Scala concepts like functions, classes, recursion, higher-order functions and exception handling. The document aims to explain Scala and reasons for differences from Java.
The document provides an overview of the Scala programming language. It discusses what Scala is, its definition, and opinions on Scala from notable figures like the creator of Java. It also covers Scala's scalability, data types, functional aspects, object-oriented aspects, and comparison to Java. Key points are that Scala is a multi-paradigm language that integrates functional and object-oriented programming, runs on the JVM, and is more concise and expressive than Java.
Scala is a multi-paradigm programming language that runs on the JVM. It combines object-oriented and functional programming concepts. SBT is the build tool used for Scala projects and allows for incremental compilation. Scala has a uniform approach to collections that emphasizes immutability and uses higher-order
This document discusses how the Scala programming language unifies functional programming and object-oriented programming concepts to better support component-based software development. It presents three ways Scala unifies previously separate concepts: 1) algebraic data types are implemented as class hierarchies, 2) functions are treated as objects, and 3) modules are implemented as objects. This allows Scala to leverage the strengths of both paradigms while removing limitations of existing languages for component programming.
Scala is a multi-paradigm language that runs on the JVM and interoperates with Java code and libraries. It combines object-oriented and functional programming by allowing functions to be treated as objects and supports features like traits, pattern matching, and immutable data structures. The Scala compiler infers types and generates boilerplate code like getters/setters, making development more productive compared to Java. While Scala has a learning curve, it allows a more concise and scalable language for building applications.
Starting with Scala : Frontier Developer's Meetup December 2010Derek Chen-Becker
This document provides an overview of the Scala programming language presented at a meetup event. It discusses Scala's history and pedigree, being created by Martin Odersky. It outlines some key aspects of Scala like being object-oriented, functional, and working on the JVM. The talk covers Scala fundamentals like immutable values, mutable variables, functions, and objects. It also discusses traits, classes, case classes and more Scala concepts.
The Scala Programming Language was presented with the goals of creating a language that better supports component software and unifies object-oriented and functional programming. Scala is statically typed and supports both object-oriented and functional programming paradigms through features like traits, views, and variance annotations. It also aims to improve on concepts from Java and other languages through ideas like mixins and compound types.
This document summarizes Martin Odersky's opening address at Scala eXchange in 2011 about the past, present and future of Scala. It discusses Scala's trajectory over the past 10 years from its initial development to widespread industrial adoption. It identifies concurrency and parallelism as a key concern going forward and outlines Scala's tools for both implicit and explicit parallel programming.
An Introduction to Scala for Java DevelopersMiles Sabin
The document provides an introduction to Scala for Java developers. It outlines key features of Scala including cleaning up Java syntax, going beyond Java with features like case classes, traits, and pattern matching, and its functional focus including support for higher-order functions, the Option type, and for comprehensions. The document also briefly discusses the Scala IDE for Eclipse.
Short (45 min) version of my 'Pragmatic Real-World Scala' talk. Discussing patterns and idioms discovered during 1.5 years of building a production system for finance; portfolio management and simulation.
Oscon keynote: Working hard to keep it simpleMartin Odersky
The document discusses how Scala aims to make parallel and concurrent programming easier by avoiding mutable state and enabling a functional programming style, and it presents Scala as a language that unifies object-oriented and functional programming in a way that allows both sequential and parallel applications to be written safely and efficiently. Examples are given of how parallel collections and actors can be used in Scala for parallelism and concurrency, and how domain-specific languages embedded in Scala can help program parallel applications for different domains like physics simulation.
Miles Sabin Introduction To Scala For Java DevelopersSkills Matter
Scala is a programming language that blends object-oriented and functional programming styles. It is designed to interoperate with Java code and runs on the Java Virtual Machine. Some key features of Scala include case classes, pattern matching, traits for mixing behavior, and immutable data structures. Scala code compiles to Java bytecode, allowing seamless use of Java libraries and tools.
Scala is a multi-paradigm programming language that runs on the Java Virtual Machine. It integrates features of functional programming and object-oriented programming, allowing both procedural and functional styles. Some key benefits of Scala include its ability to handle concurrency and parallelism through actors, support for both static and dynamic typing, and interoperability with Java.
Scala: Object-Oriented Meets Functional, by Iulian Dragos3Pillar Global
A presentation from Iulian Dragos of Typesafe that gives an overview of the Scala programming language. The presentation was given at a Functional Angle conference in Timisoara, Romania sponsored by 3Pillar. Iulian Dragos has been working on Scala since 2004. He currently works for Typesafe, a start-up that was co-founded by Scala’s creator, Martin Odersky.
Scala is a powerful language for the JVM that is compatible with JDK 1.5+. It is a functional language maintained by Typesafe along with the community. Scala compiles to JVM bytecode like Java but has features like objects, traits, pattern matching and functional programming. James Gosling, the creator of Java, said that if he were to pick a language other than Java today, it would be Scala.
Scala aims to unify functional and object-oriented programming to better support component-based software development. It does this by (1) treating algebraic data types as extensible class hierarchies, (2) treating functions as objects with apply methods, and (3) allowing functions and modules to be specialized. This provides capabilities like partial functions and actor-based concurrency in a library rather than as language features. Event-based actors implemented as a library can outperform threaded actors for high numbers of actors.
Martin Odersky discusses the past, present, and future of Scala over the past 5 years and next 5 years. Key points include:
- Scala has grown significantly in usage and community over the past 6 years since its first release.
- Scala 2.8 will include improvements like new collections, package objects, named/default parameters, and better tool support.
- Over the next 5 years, Scala will focus on improving concurrency and parallelism through better abstractions, analyses, and static typing support.
The document discusses Scala, a programming language designed to be scalable. It can be used for both small and large programs. Scala combines object-oriented and functional programming. It interoperates seamlessly with Java but allows developers to add new constructs like actors through libraries. The Scala community is growing, with industrial adoption starting at companies like Twitter.
Programming Android Application in Scala.Brian Hsu
The document discusses using Scala to develop Android applications. Scala allows satisfying three desires at once: REPL, scripting, and compiling. It supports traits for mixin composition, functional programming, static typing with duck typing. SBT is introduced as a build tool for Scala/Android projects that does not require configuration and supports continuous compilation with an Android plugin. Live demos show installing SBT/SBT-Android and creating a sample Scala/Android project. Some limitations of Scala with Android like accessing static protected Java fields are also mentioned.
The document provides an overview of the Scala programming language. It begins with an agenda that outlines topics like differences between Java and Scala, Scala data types, variables, classes, functions, closures, exception handling and collections. It then discusses specific aspects of Scala like verbosity reduction compared to Java, functional programming influences, object-oriented features, interoperability with Java and compilation to Java bytecode. Examples are provided to illustrate Scala concepts like functions, classes, recursion, higher-order functions and exception handling. The document aims to explain Scala and reasons for differences from Java.
The document provides an overview of the Scala programming language. It discusses what Scala is, its definition, and opinions on Scala from notable figures like the creator of Java. It also covers Scala's scalability, data types, functional aspects, object-oriented aspects, and comparison to Java. Key points are that Scala is a multi-paradigm language that integrates functional and object-oriented programming, runs on the JVM, and is more concise and expressive than Java.
Scala is a multi-paradigm programming language that runs on the JVM. It combines object-oriented and functional programming concepts. SBT is the build tool used for Scala projects and allows for incremental compilation. Scala has a uniform approach to collections that emphasizes immutability and uses higher-order
Qcon2011 functions rockpresentation_scalaMichael Stal
Scala functions provide powerful ways to decompose problems and harness the benefits of functional programming. The presentation introduces core concepts of functional programming using Scala as an example language, highlighting how Scala combines object-oriented and functional programming. It presents benefits like immutability, higher-order functions, and improved concurrency while avoiding past performance issues through modern virtual machines and libraries.
Martin Odersky received his PhD in 1989 and began designing Scala in 2001 at EPFL. Scala is a functional and object-oriented programming language that runs on the Java Virtual Machine. It is concise, high-level, statically typed, and supports both immutable and mutable data structures. Many large companies use Scala including LinkedIn, Twitter, and Ebay. Scala supports both object-oriented programming with classes, traits, and objects as well as functional programming with immutable data, higher-order functions, and algebraic data types.
BCS SPA 2010 - An Introduction to Scala for Java DevelopersMiles Sabin
This document provides an introduction to Scala for Java developers. It outlines how Scala cleans up Java syntax by making semi-colons optional, using == for equals and eq for reference equality, and allowing periods to be omitted. It also describes how Scala goes beyond Java by supporting features like case classes, pattern matching, named and default arguments, and mixin composition with traits. The document provides examples of using these features and explains how Scala seamlessly interoperates with Java.
Martin Odersky outlines the growth and adoption of Scala over the past 6 years and discusses Scala's future direction over the next 5 years. Key points include:
- Scala has grown from its first classroom use in 2003 to filling a full day of talks at JavaOne in 2009 and developing a large user community.
- Scala 2.8 will include new collections, package objects, named/default parameters, and improved tool support.
- Over the next 5 years, Scala will focus on concurrency and parallelism features at all levels from primitives to tools.
- Other areas of focus include extended libraries, performance improvements, and standardized compiler plugin architecture.
Scala 2.8 will include improvements to collections, package objects, named and default parameters, and faster generics through specialization. Over the next 5 years, focus will be on concurrency and parallelism at all levels. Better tools like an improved REPL and IDE integration are also planned. The essence of Scala is concentrating on powerful abstractions to reduce boilerplate and allow powerful libraries.
This document summarizes Martin Odersky's talk about the past, present, and future of the Scala programming language over the next 5 years. It discusses Scala's growth in popularity and adoption from 2003-2009. It also outlines new features in the 2.8 version including improved collections, package objects, named parameters, and improved tooling. Finally, it discusses focus areas for the next 5 years including improved concurrency, parallelism, static typing, and language abstractions to support reliable concurrent programming.
Scala for Java Developers provides an overview of Scala for Java developers. It discusses:
- The goals of understanding what Scala is, learning more about it, and installing Scala.
- An introduction to Scala including what it is, its history from 1995 to 2013, and whether it is a good fit for certain uses based on its strengths like functional programming and weaknesses like syntax.
- How to get started with Scala including required and optional software and plugins.
- Key Scala features like objects, classes, traits, pattern matching, and collections.
Scala, Akka, and Play: An Introduction on HerokuHavoc Pennington
The document introduces Scala, Akka, and Play and discusses how they can be used together on Heroku. Scala is presented as a practical alternative to Java that allows incremental migration while providing functional programming capabilities. Akka implements the actor model to provide highly scalable and fault-tolerant architectures. Play is introduced as a popular web framework that uses convention over configuration. The document argues that using these technologies together enables developer-friendly, horizontally scalable applications with a pragmatic adoption path. It provides overviews and examples of each technology.
This document provides an introduction to Scala for Java developers. It discusses that Scala is a hybrid object-oriented and functional language that runs on the JVM and interoperates well with Java. It highlights several features of Scala that allow for more concise code compared to Java, such as type inference, expressions instead of statements, higher-order functions, and case classes.
The document provides an introduction and overview of Scala concepts. In 3 sentences:
Scala is an object-oriented and functional language that runs on the Java Virtual Machine. It combines object-oriented and functional programming which allows for modularity, extensibility, and composition. The document discusses Scala concepts like expressions, types, values, classes, traits, objects, pattern matching and more to build a fundamental understanding of how Scala programs work.
A Brief Introduction to Scala for Java DevelopersMiles Sabin
Scala is a programming language that blends object-oriented and functional programming styles. It is designed to interoperate with Java code and runs on the Java Virtual Machine. Some key features of Scala include case classes, pattern matching, traits for mixing functionality, and immutable data structures. Scala code compiles to Java bytecode, allowing seamless use of Java libraries and tools.
This document summarizes key similarities and differences between Scala and Java types, variables, methods, classes, collections, control structures, and other language features. Some of the main points covered include:
- Type definitions, variables, and methods are defined similarly but with different syntax in Scala vs Java
- Classes and traits in Scala are like classes and interfaces in Java
- Scala avoids static methods and instead uses singleton objects
- Control structures like if/else, for loops, and exceptions work similarly
- Scala supports features like tuples, pattern matching, and expression-oriented programming that have no direct equivalent in Java
Scala is a general purpose programming language that blends object-oriented and functional programming. It is designed to interoperate with Java code, as Scala compiles to Java bytecode. Scala incorporates features from functional programming like immutable variables and higher-order functions, as well as object-oriented features like classes and inheritance. Key differences from other languages include its support for features like pattern matching, traits, and type inference.
Graph databases address one of the great macroscopic business trends of today: leveraging complex and dynamic relationships in highly connected data to generate insight and competitive advantage. Whether we want to understand relationships between customers, elements in a telephone or data center network, entertainment producers and consumers, or genes and proteins, the ability to understand and analyze vast graphs of highly connected data will be key in determining which companies outperform their competitors over the coming decade. In this session, I am going to cover following graph database concepts mainly w.r.t Neo4j.
High level view of Graph Space
Power of Graph Databases
Data Modeling with Graphs
Cypher : Graph Query language
Building a Graph Database Application
Graphs in Real World / Common Use cases
Predictive Analysis with Graph Theory
Use Cases of #Grails in Web Applications
- Type of applications most appropriate to be developed in Grails
- Type of applications where Grails may not be the best choice
- Experiences with Grails during several web application development projects
This document discusses the growing trend of enterprise mobility. It notes that smartphones are no longer just for personal use, with 1 in 4 enterprises expected to have app stores. It also discusses some of the key challenges to mobility like BYOD, security, and choosing between native and hybrid apps. The document advocates that companies focus on what apps to build, not just how, and consider backend as a service to simplify development.
The new buzz world in the world of Agile is "DevOps". So what exactly is devOps and Why do we need it? When development got married to deployment (sys-admin/operations) ; what is born is a new advanced species which is known to us today as "DevOps"
Location based services can be divided into four categories: location based search, location based commerce, navigation services, and tracking applications. Most location based applications lack location verification, leaving them vulnerable to location spoofing attacks where fake locations can be injected. While this allows rewards and deals to be obtained fraudulently, it can also spoof tracking systems. Solutions include client and server side validations of location data to detect spoofing, but GPS signals can also be directly spoofed through simulator tools.
Modelling RESTful applications – Why should I not use verbs in REST urlXebia IT Architects
What would go wrong if we use verbs in #REST #URL.
Whether there is some rationale behind it or it just REST dogma. Are there any “#RESTguidelines”?
In this session we will explore how to model our services so that we follow the RESTful way adhering to HTTP specification.
#Scrum is very popular these days but #kanban is suitable for better organizational level continuous improvement. We use #scrumban to get the benefits of both the worlds. Its a combination of good practices of scrum with kanban.
This document discusses Continuous Delivery with DeployIT. DeployIT allows for automated builds, deployments, provisioning of infrastructure, and tests. It can extend functionality through plugins like a Tomcat plugin example provided. Continuous Delivery with DeployIT provides automated processes for software development.
The document discusses principles of continuous improvement known as Kaizen and the "Fish! Philosophy" for building great teams and winning consistently. Some key points covered include identifying waste, choosing a positive attitude, making others' day, and being present. It also promotes participating in an India Agile Adoption Survey to help the community and offers Agile consulting services. Contact information is provided for assistance.
Xebia provides Agile consulting and training services to help organizations transform to Agile. Their vision is to be a preferred partner for customers undergoing Agile transformations by 2015. They offer solutions like transformation consulting, Agile trainings, and coaching services to help organizations adopt Agile practices in areas such as software development, banking, retail, and other industries. Their transformation approach involves evaluating an organization's needs, suggesting workshops, piloting solutions, and mainstreaming Agile practices.
Xebia is a technology supplier that provides e-commerce and m-commerce solutions. One solution they developed was an online photo book editor for various retailers. They implemented modules for online catalog, photo editing, shopping cart, payments, and analytics. The system allows customers to easily create and order photo books online. Xebia's quality work helped the client, Albumprinter, become a leading European photo book supplier. Another project involved developing a location-based mobile advertising app to send promotions to customers near retail locations. The app uses customers' location to push relevant deals and discounts from nearby stores. It is intended to help retailers attract customers and drive sales through targeted mobile offers.
This document outlines career growth expectations and job titles at different levels within a company. It lists basic expectations such as delivering projects on time and with no issues, maintaining good customer relationships, and updating skills. Desirable expectations include activities like blogging, speaking at conferences, and bringing in new business. Job titles include Trainee, Consultant, Senior Consultant, Principal Consultant, and Director, with increasing responsibilities at each level such as mentoring others, managing projects, and overseeing technology.
Anurag Shrivastava, Managing Director of Xebia India, recently got interviewed by Journalist of “The Sunday Guardian”. He shares his experiences, the journey and success of Xebia through BIG IDEA column.
AgileNCR 2010 conference was held in Gurgaon on 17th & 18th July 2010. This largest community driven conference was the Fourth edition of Agile NCR and was organized in collaboration with ASCI. This time the event was based on four major themes : 'Agile for newbies', ' Agile Adoption Challenges', 'Workshops and Software Craftsmanship', and ' Post Agile'
AgileNCR 2010 conference was held in Gurgaon on 17th & 18th July 2010. This largest community driven conference was the Fourth edition of Agile NCR and was organized in collaboration with ASCI. This time the event was based on four major themes : 'Agile for newbies', ' Agile Adoption Challenges', 'Workshops and Software Craftsmanship', and ' Post Agile'.
AgileNCR 2010 conference was held in Gurgaon on 17th & 18th July 2010. This largest community driven conference was the Fourth edition of Agile NCR and was organized in collaboration with ASCI. This time the event was based on four major themes : 'Agile for newbies', ' Agile Adoption Challenges', 'Workshops and Software Craftsmanship', and ' Post Agile'.
Practicing Agile in Offshore Environment by Himanshu Seth & Imran MirXebia IT Architects
AgileNCR 2010 conference was held in Gurgaon on 17th & 18th July 2010. This largest community driven conference was the Fourth edition of Agile NCR and was organized in collaboration with ASCI. This time the event was based on four major themes : 'Agile for newbies', ' Agile Adoption Challenges', 'Workshops and Software Craftsmanship', and ' Post Agile'.
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
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Getting Started With Scala
1. Getting Started with Scala
Vikas Hazrati - vhazrati@xebia.com
Meetu Maltiar - mmaltiar@xebia.com
OSScamp Delhi 2009
2. Agenda
I. What is FP and OOP? I. Features
– Quick comparison
with Java
I. Introducing Scala – Function Values and
Closures
– Scalable Languages
– Traits
– Scala is a Scripting
language – Pattern Matching
– Scala is Java of future I. End Notes
– Scala is OO - Who is using it ?
– Scala is Interoperable - Tool support
- Learning resources
4. What is FP
Is a concept where you can pass functions as
arguments, to store them in variables, and to
return them from other functions.
5. What is OOP?
Object Oriented Programming is
programming which is oriented
around objects
Takes advantage of Encapsulation,
Polymorphism, and Inheritance to
increase code reuse and decrease
code maintenance.
6. Scala: FP and OOP language
Scala is a object oriented and functional programming
language which is completely interoperable with java
FP: Makes it easy to build interesting things from simple parts, using
– Higher order functions
– Algebraic types and pattern matching
– Parametric polymorphism
OOP: Makes it easy to adopt and extend complex systems using
– Subtyping and inheritance
– Dynamic configurations
– Classes as partial abstractions
8. Scalable languages
A language is scalable if it is suitable for very small as well as
very large programs.
A single language for extension scripts and the heavy lifting.
Application-specific needs are handled through libraries and
embedded DSL's instead of external languages.
Scala shows that this is possible.
8
9. Scala is a scripting language
It has an interactive read-eval-print-loop (REPL).
Types can be inferred.
Boilerplate is scrapped.
scala> var capital = Map("US" → "Washington", "France" → "Paris")
capital: Map[String, String] = Map(US → Washington, France →
Paris)
scala> capital += ("Japan" → "Tokyo")
scala> capital("France")
res7: String = Paris
9
10. Scala is the Java of the future
It has basically everything Java has now.
(sometimes in different form)
It has closures.
(proposed for Java 7, but rejected)
It has traits and pattern matching.
(do not be surprised to see them in Java 8, 9 or 10)
It compiles to .class files, is completely interoperable and runs about as fast as
Java
object App {
def main(args: Array[String]) {
if (args exists (_.toLowerCase == "-help"))
printUsage()
else
process(args)
}
}
10
11. Scala is object-oriented
Every value is an object
Every operation is a method call
Exceptions to these rules in Java (such as
primitive types, statics) are eliminated.
scala> (1).hashCode
res8: Int = 1
scala> (1).+(2)
res10: Int = 3
11
12. Interoperability
Scala fits seamlessly into a Java environment
Can call Java methods, select Java fields, inherit Java
classes, implement Java interfaces, etc.
None of this requires glue code or interface descriptions
Java code can also easily call into Scala code
Scala code resembling Java is translated into virtually
the same bytecodes.
⇒ Performance is usually on a par with Java
12
14. Scala compared to Java
Scala adds Scala removes
+ a pure object system - static members
+ operator overloading - primitive types
+ closures - break, continue
+ mixin composition with - special treatment of
traits interfaces
+ existential types - wildcards
+ abstract types - raw types
+ pattern matching - enums
14
15. Scala cheat sheet (1): Definitions
Scala method definitions: Java method definition:
def fun(x: Int): Int = { int fun(int x) {
result return result
} }
def fun = result (no parameterless methods)
Scala variable definitions: Java variable definitions:
var x: Int = expression int x = expression
val x: String = expression final String x = expression
15
16. Scala cheat sheet (2): Objects and
Classes
Scala Class and Object Java Class with statics
class Sample {
class Sample(x: Int, val p: Int)
{ private final int x;
def instMeth(y: Int) = x + y public final int p;
} Sample(int x, int p) {
this.x = x;
this.p = p;
object Sample {
}
def staticMeth(x: Int, y: Int) int instMeth(int y) {
= return x + y;
x*y }
} static int staticMeth(int x,
int y) {
return x * y;
}
}
16
17. Scala cheat sheet (3): Traits
Scala Trait Java Interface
trait T { interface T {
def abstractMth(x: String): Int int abstractMth(String x)
def concreteMth(x: String) = }
x + field
(no concrete methods)
var field = “!”
(no fields)
}
Java extension + implementation:
Scala mixin composition:
class C extends Super
class C extends Super with T implements T
17
18. Scala Compared to Java
class CreditCard(val number: Int, var creditLimit: Int)
javap -private CreditCard
public class CreditCard extends java.lang.Object implements
scala.ScalaObject{
private int creditLimit;
private final int number;
public CreditCard(int, int);
public void creditLimit_$eq(int);
public int creditLimit();
public int number();
public int $tag() throws java.rmi.RemoteException;
}
18
19. Constructors
class Person(val firstName: String, val lastName: String) {
private var position: String = _
println("Creating " + toString())
def this (firstName: String, lastName: String, positionHeld: String) {
this (firstName, lastName)
position = positionHeld
}
override def toString() : String = {
firstName + " " + lastName + " holds " + position + " position "
}
}
19
22. Currying & Partial Functions
Currying in Scala transforms a function that takes more than one
parameter into a function that takes multiple parameter lists.
22
23. Closures
You can create code blocks with variables that are not bound.
You will have to bind them before you can invoke the function; however,
they could bind to, or close over, variables outside of their local scope
and parameter list.
That’s why they’re called closures.
23
25. Traits
They are fundamental unit for code reuse in Scala
A Trait encapsulates method and field definitions, which can be
reused by mixing them in classes
Unlike class inheritance , in which class must inherit from just one
superclass, a class may mix in any number of Traits
Unlike Interfaces they can have concrete methods
25
26. Traits
trait Philosophical {
def philosophize() {
println("I consume memory, therefore I am!")
}
}
class Frog extends Philosophical {
override def toString() = "green"
}
val latestFrog = new Frog
println("" + latestFrog)
latestFrog.philosophize()
val phil:Philosophical = latestFrog
phil.philosophize()
26
27. Pattern Matching
All that is required is to add a single case
keyword to each class that is to be pattern
matchable
Similar to switch expect that Scala compares
Objects as expressions
27
28. Pattern Matching
object PatternApplication {
def main(args : Array[String]) : Unit = {
println( simplifyTop(UnOperator("-", UnOperator("-", Variable("x")))))
println( simplifyTop(BinOperator("+", Variable("x"), NumberOperator(0))))
println( simplifyTop(BinOperator("*", Variable("x"), NumberOperator(1))))
}
def simplifyTop(expr: Expression): Expression = expr match {
case UnOperator("-", UnOperator("-", e)) => e // Double negation
case BinOperator("+", e, NumberOperator(0)) => e // Adding zero
case BinOperator("*", e, NumberOperator(1)) => e // Multiplying by one
case _ => expr
}
}
28
30. Tool support
– Standalone compiler: scalac
– Fast background compiler: fsc
– Interactive interpreter shell and script runner: scala
– Web framework: lift
– Testing frameworks:
Specs, ScalaCheck, ScalaTest, SUnit, …
IDE plugins for:
– Eclipse (supported by EDF)
– IntelliJ (supported by JetBrains)
– Netbeans (supported by Sun)
30
31. Who’s using it?
Open source projects:
lift
wicket
NetLogo
SPDE: Scala branch for Processing
Isabelle: GUI and code extractor
Companies:
Twitter: infrastructure
Sony Pictures: middleware
Nature.com: infrastructure
SAP community: ESME company messaging
Reaktor: many different projects
Mimesis Republic: multiplayer games
EDF: trading, …
31
32. Learning Scala
To get started:
First steps in Scala, by Bill Venners
published in Scalazine at www.artima.com
Scala for Java Refugees by Daniel Spiewack
(great blog series)
To continue:
Programming in Scala, by Odersky, Spoon,
Venners, published by Artima,com
Other books are in the pipeline.
32
35. References
“Programming in Scala” book by Martin Odersky, Lex Spoon and Bill Venners
Presentation by Martin Odersky at FOSDEM 2009
http://www.slideshare.net/Odersky/fosdem-2009-1013261
Online book on Scala by oreilly
http://programming-scala.labs.oreilly.com/
Magazine for Scala Programming Community
http://www.artima.com/scalazine
35