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.
This document provides a dictionary of scala programming concepts including definitions of common jargon like ADT, typeclasses, extension methods, and call-by semantics. It defines ADT as algebraic data types, which were introduced in languages like Algol 60 and ML, and pattern matching which allows decomposing ADT values. Typeclasses are defined as rules for types like equality, with instances providing implementations. Extension methods and implicit conversions add methods to types via implicit parameters. Call-by-name and call-by-need semantics are discussed in relation to lazy evaluation.
This document provides a cheat sheet overview of Scala concepts including packages, imports, variables, constants, classes, traits, generics, methods, functions, operators, arrays, main methods, annotations, assignments, selection, iteration and references. Key points are that Scala uses packages similarly to Java but with curly brace delimiters, imports can be used anywhere in a file, variables use 'var', constants use 'val', classes inherit from Any and can use traits for mixins, generics are defined with type parameters, functions are objects, operators are methods, arrays are classes, main returns Unit, and assignments use = while iteration prefers recursion over loops.
Watch video (in Hebrew): http://parleys.com/play/53f7a9cce4b06208c7b7ca1e
Type classes are a fundamental feature of Scala, which allows you to layer new functionality on top of existing types externally, i.e. without modifying or recompiling existing code. When combined with implicits, this is a truly remarkable tool that enables many of the advanced features offered by the Scala library ecosystem. In this talk we'll go back to basics: how type classes are defined and encoded, and cover several prominent use cases.
A talk given at the Underscore meetup on 19 August, 2014.
The document is a slide presentation on Scala that provides an introduction to the language in 90 minutes or less. It covers Scala basics like being object oriented and functional, static typing, compilation to JVM bytecode, and interoperability with Java. It also discusses Scala tools, its use in open source projects and industry, recommended books, and jobs involving Scala. Code examples are provided to demonstrate Hello World programs, variables, methods, conditionals, sequences, and closures in Scala.
This document summarizes a talk given about Nokia's migration to Scala for its Places API. The key points are:
1) Nokia migrated its Places API codebase to Scala to take advantage of Scala's features like its powerful type system, immutable data structures, and functional programming capabilities.
2) The migration was done gradually over time while continuing to develop new features. They discovered many benefits of Scala along the way like improved test readability and JSON parsing capabilities.
3) Nokia uses Scala features like case classes, options, and functions to model data and add type safety to its codebase. This uncovered bugs that would have been hard to find in Java.
Some notes about programming in Scala: it covers Scala syntax and semantics, programming techniques, idioms, patterns. Many Scala features are introduced, from basic to intermediate and advanced. These are not introductory notes, but they assume a working knowledge with some other programming language (Java, C#, C++), object-oriented programming (OOP) concepts, and functional programming (FP) concepts.
This document summarizes some of the key differences between Scala and Java syntax. It covers topics like type definitions, variables, methods, classes, traits, collections, exceptions, control flow, and packages. Overall, the document shows that Scala code is more concise and expressive than equivalent Java code for many common programming constructs.
This document provides an introduction to the Scala programming language. It begins with an overview of Scala's motivation and history. It then covers the basics of Scala including simple data structures, loops, objects, types and generics. More advanced topics such as traits, mixins, implicit conversions and sealed classes are also discussed. The document concludes with references for further reading.
Scala Intro training @ Lohika, Odessa, UA.
This is a basic Scala Programming Language overview intended to evangelize the language among any-language programmers.
This document summarizes key features of the Scala programming language. Some key points include:
- Scala runs on the Java Virtual Machine (JVM) and allows for type inference, immutable values, functional programming patterns like pattern matching, and object-oriented features like traits for inheritance.
- Scala favors immutable values over mutable variables for scalability. Features like actors allow for concurrency without shared mutable state.
- Scala code can be compiled to JavaScript using Scala.js, allowing full-stack development in a single language.
- Traits provide a powerful way to do multiple inheritance by combining traits and classes at runtime.
This document provides an introduction to the Scala programming language. It discusses what Scala is, how to get started, basic concepts like mutability and functions, and Scala features like classes, traits, pattern matching, and collections. Scala combines object-oriented and functional programming. It runs on the Java Virtual Machine and is compatible with Java. The document provides code examples to demonstrate Scala concepts and features.
This document discusses various techniques for working with types in Scala, including:
1. The main alternatives for Scala types including classical OO, algebraic, generic, and structured types. It recommends choosing styles based on use cases and setting guidelines.
2. The differences between run-time and compile-time dispatch and how they are implemented in Scala.
3. Techniques for working with types including tagged types, type aliases, and implicit evidence to provide different behaviors based on types known at compile-time.
4. Resources for learning more about advanced type-level programming in Scala, particularly the Shapeless library.
This document discusses using Akka and actors for building scalable and concurrent applications in Scala. It introduces actors as fundamental units of computation that communicate asynchronously via message passing. Akka provides tools for creating actor systems and hierarchies. The document uses a monitoring application called Scotchdog as an example, with actors to represent services that are monitored by a watchdog actor. It describes how messages are used to start, stop and check services, and how the watchdog can aggregate status from child actors. The document also briefly mentions using Akka's scheduler and finite state machines to implement more complex actor behaviors.
Akka, an actor framework written in Scala (that also supports Java) provides you with all the benefits commonly found in actor frameworks, but without the kinks. This presentation will explore actor based concurrency using Akka, and dwell on some of Akka's stregths, culminating in the equation "Transactional Memory + Actors = Transactors".
A presentation at Twitter's official developer conference, Chirp, about why we use the Scala programming language and how we build services in it. Provides a tour of a number of libraries and tools, both developed at Twitter and otherwise.
A comparison on JVM Web Frameworks. Includes strategies for choosing and results from research by InfoQ and devrates.com. Also, lots of pretty graphs.
See blog post about this presentation at http://raibledesigns.com/rd/entry/devoxx_france_a_great_conference and video recording at http://raibledesigns.com/rd/entry/video_of_comparing_jvm_web
This document discusses asynchronous I/O in Java and Scala using the Play Framework. It describes how LinkedIn uses a service-oriented architecture with hundreds of services making requests to each other. It then covers how Play supports non-blocking I/O using asynchronous code, promises, and futures to allow parallel requests without blocking threads. Key points covered include using map and flatMap to transform promises and futures, handling errors and timeouts, and the benefits of non-blocking I/O for scalability.
Slides for my talk event-sourced architectures with Akka. Discusses Akka Persistence as mechanism to do event-sourcing. Presented at Javaone 2014 and Jfokus 2015.
Akka is using the Actors together with STM to create a unified runtime and programming model for scaling both UP (multi-core) and OUT (grid/cloud). Akka provides location transparency by abstracting away both these tangents of scalability by turning them into an ops task. This gives the Akka runtime freedom to do adaptive automatic load-balancing, cluster rebalancing, replication & partitioning
The document discusses Scala and why some developers think it could replace Java on the JVM. It provides quotes from several influential developers, including the creator of Java and Groovy, expressing their view that Scala is the best candidate to replace Java in the long run. Specifically, James Gosling says that if he had to pick another language on the JVM besides Java, it would be Scala. Charlie Nutter describes Scala as the current heir apparent to the Java throne and the momentum behind Scala is now unquestionable. James Strachan says that if he had seen the Programming in Scala book in 2003, he may have never created Groovy and that his tip for a long term replacement for Java is
Most developers are aware about design patterns. The difficulty is not in understanding them but in getting an intuitive understanding of when and how to apply them. In this session, we'll go through a case study of how a tiny interpreter (of course written in Java) may implement different design patterns.
The link to source code is:
https://github.com/CodeOpsTech/InterpreterDesignPatterns
From Java to Scala - advantages and possible risks
Oleksii Petinov during his presentation gave the audience the overview of his vision of Scala pros and contras. In his vision Scala smoothly integrates features of object-oriented and functional languages, enabling Java and other programmers to be more productive.
There is admittedly some truth to the statement that “Scala is complex”, but the learning curve is well worth the investment.
Scala: Object-Oriented Meets Functional, by Iulian Dragos
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 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.
Miles Sabin Introduction To Scala For Java Developers
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.
JavaFX is a software platform for creating rich internet applications (RIAs) using Java that can compete with Flash/Flex and Silverlight, it is based on Java and the JavaFX runtime and includes tools like JavaFX Script for building the user interface and NetBeans as an integrated development environment. JavaFX aims to simplify building RIAs with features like bindings, listeners and components while allowing access to the full Java runtime.
This document provides an overview of Scala fundamentals including:
- Scala is a programming language for the JVM that supports both object-oriented and functional paradigms.
- It defines variables, values, lazy values, functions, types, classes, objects, traits, and higher-order functions.
- Classes can extend other classes and traits, allowing for multiple inheritance. Objects are used as singletons.
- Functional concepts like immutability, anonymous functions, and higher-order functions are supported.
This document provides an overview of the Scala programming language and discusses its usage on Android. Scala is a multi-paradigm language that integrates object-oriented and functional programming. It runs on the Java Virtual Machine and is used by companies like LinkedIn, Twitter, and The Guardian. Scala's features include being object-oriented, functional, statically typed, and expressive while allowing concise code. It supports classes, traits, pattern matching, and lazy evaluation among other things.
BCS SPA 2010 - An Introduction to Scala for Java Developers
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.
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.
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.
This document provides an overview of JavaScript training topics including:
- Client-side programming fundamentals
- JavaScript syntax like variables, types, and arrays
- Object-oriented programming concepts like classes and methods
- Interacting with HTML and CSS
- Using development tools like Netbeans and Eclipse
- Advanced topics like scope, closures, prototypes, and JSON
Scala offers benefits from adopting it such as increased productivity through concise and expressive code, static typing with type inference, support for both object-oriented and functional programming paradigms, and interoperability with Java. Switching from Java to Scala involves some changes like using val for immutable variables and var for mutable, but overall the syntax is quite similar which eases the transition.
This presentation introduces the main features of Scala, an object oriented and functional programming language. The main focus of the slides is to show how the language implements natively some of the patterns and best practices that are no present in other programming languages, such as Java, C++ and so on.
In detail, the presentation spans these concepts:
- Language's main syntax
- Classes, abstract classes, objects and traits (mixin)
- The Option class
- An introduction to generics
- Implicit classes
- Functions
- Recursion (simple and tail)
- Currying
- Call by value / name
The presentation is took from the Software Engineering course I run in the bachelor-level informatics curriculum at the University of Padova.
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.
Introduction à Scala - Michel Schinz - January 2010
Scala is a programming language that combines object-oriented and functional programming. It runs on the JVM and is interoperable with Java. Scala is statically typed and concise.
Scala allows modeling of concepts like rational numbers and mutable cells. Classes can implement traits to mix in functionality like logging. Pattern matching makes deconstructing data structures like lists and optional values easy. The Scala library includes collections, functions, and other functional programming constructs.
BT & Neo4j: Knowledge Graphs for Critical Enterprise Systems.pptx.pdf
Presented at Gartner Data & Analytics, London Maty 2024. BT Group has used the Neo4j Graph Database to enable impressive digital transformation programs over the last 6 years. By re-imagining their operational support systems to adopt self-serve and data lead principles they have substantially reduced the number of applications and complexity of their operations. The result has been a substantial reduction in risk and costs while improving time to value, innovation, and process automation. Join this session to hear their story, the lessons they learned along the way and how their future innovation plans include the exploration of uses of EKG + Generative AI.
How RPA Help in the Transportation and Logistics Industry.pptx
Revolutionize your transportation processes with our cutting-edge RPA software. Automate repetitive tasks, reduce costs, and enhance efficiency in the logistics sector with our advanced solutions.
The DealBook is our annual overview of the Ukrainian tech investment industry. This edition comprehensively covers the full year 2023 and the first deals of 2024.
Quantum Communications Q&A with Gemini LLM. These are based on Shannon's Noisy channel Theorem and offers how the classical theory applies to the quantum world.
Implementations of Fused Deposition Modeling in real world
The presentation showcases the diverse real-world applications of Fused Deposition Modeling (FDM) across multiple industries:
1. **Manufacturing**: FDM is utilized in manufacturing for rapid prototyping, creating custom tools and fixtures, and producing functional end-use parts. Companies leverage its cost-effectiveness and flexibility to streamline production processes.
2. **Medical**: In the medical field, FDM is used to create patient-specific anatomical models, surgical guides, and prosthetics. Its ability to produce precise and biocompatible parts supports advancements in personalized healthcare solutions.
3. **Education**: FDM plays a crucial role in education by enabling students to learn about design and engineering through hands-on 3D printing projects. It promotes innovation and practical skill development in STEM disciplines.
4. **Science**: Researchers use FDM to prototype equipment for scientific experiments, build custom laboratory tools, and create models for visualization and testing purposes. It facilitates rapid iteration and customization in scientific endeavors.
5. **Automotive**: Automotive manufacturers employ FDM for prototyping vehicle components, tooling for assembly lines, and customized parts. It speeds up the design validation process and enhances efficiency in automotive engineering.
6. **Consumer Electronics**: FDM is utilized in consumer electronics for designing and prototyping product enclosures, casings, and internal components. It enables rapid iteration and customization to meet evolving consumer demands.
7. **Robotics**: Robotics engineers leverage FDM to prototype robot parts, create lightweight and durable components, and customize robot designs for specific applications. It supports innovation and optimization in robotic systems.
8. **Aerospace**: In aerospace, FDM is used to manufacture lightweight parts, complex geometries, and prototypes of aircraft components. It contributes to cost reduction, faster production cycles, and weight savings in aerospace engineering.
9. **Architecture**: Architects utilize FDM for creating detailed architectural models, prototypes of building components, and intricate designs. It aids in visualizing concepts, testing structural integrity, and communicating design ideas effectively.
Each industry example demonstrates how FDM enhances innovation, accelerates product development, and addresses specific challenges through advanced manufacturing capabilities.
Understanding Insider Security Threats: Types, Examples, Effects, and Mitigat...
Today’s digitally connected world presents a wide range of security challenges for enterprises. Insider security threats are particularly noteworthy because they have the potential to cause significant harm. Unlike external threats, insider risks originate from within the company, making them more subtle and challenging to identify. This blog aims to provide a comprehensive understanding of insider security threats, including their types, examples, effects, and mitigation techniques.
If you’ve ever had to analyze a map or GPS data, chances are you’ve encountered and even worked with coordinate systems. As historical data continually updates through GPS, understanding coordinate systems is increasingly crucial. However, not everyone knows why they exist or how to effectively use them for data-driven insights.
During this webinar, you’ll learn exactly what coordinate systems are and how you can use FME to maintain and transform your data’s coordinate systems in an easy-to-digest way, accurately representing the geographical space that it exists within. During this webinar, you will have the chance to:
- Enhance Your Understanding: Gain a clear overview of what coordinate systems are and their value
- Learn Practical Applications: Why we need datams and projections, plus units between coordinate systems
- Maximize with FME: Understand how FME handles coordinate systems, including a brief summary of the 3 main reprojectors
- Custom Coordinate Systems: Learn how to work with FME and coordinate systems beyond what is natively supported
- Look Ahead: Gain insights into where FME is headed with coordinate systems in the future
Don’t miss the opportunity to improve the value you receive from your coordinate system data, ultimately allowing you to streamline your data analysis and maximize your time. See you there!
Sustainability requires ingenuity and stewardship. Did you know Pigging Solutions pigging systems help you achieve your sustainable manufacturing goals AND provide rapid return on investment.
How? Our systems recover over 99% of product in transfer piping. Recovering trapped product from transfer lines that would otherwise become flush-waste, means you can increase batch yields and eliminate flush waste. From raw materials to finished product, if you can pump it, we can pig it.
Quality Patents: Patents That Stand the Test of Time
Is your patent a vanity piece of paper for your office wall? Or is it a reliable, defendable, assertable, property right? The difference is often quality.
Is your patent simply a transactional cost and a large pile of legal bills for your startup? Or is it a leverageable asset worthy of attracting precious investment dollars, worth its cost in multiples of valuation? The difference is often quality.
Is your patent application only good enough to get through the examination process? Or has it been crafted to stand the tests of time and varied audiences if you later need to assert that document against an infringer, find yourself litigating with it in an Article 3 Court at the hands of a judge and jury, God forbid, end up having to defend its validity at the PTAB, or even needing to use it to block pirated imports at the International Trade Commission? The difference is often quality.
Quality will be our focus for a good chunk of the remainder of this season. What goes into a quality patent, and where possible, how do you get it without breaking the bank?
** Episode Overview **
In this first episode of our quality series, Kristen Hansen and the panel discuss:
⦿ What do we mean when we say patent quality?
⦿ Why is patent quality important?
⦿ How to balance quality and budget
⦿ The importance of searching, continuations, and draftsperson domain expertise
⦿ Very practical tips, tricks, examples, and Kristen’s Musts for drafting quality applications
https://www.aurorapatents.com/patently-strategic-podcast.html
TrustArc Webinar - 2024 Data Privacy Trends: A Mid-Year Check-In
Six months into 2024, and it is clear the privacy ecosystem takes no days off!! Regulators continue to implement and enforce new regulations, businesses strive to meet requirements, and technology advances like AI have privacy professionals scratching their heads about managing risk.
What can we learn about the first six months of data privacy trends and events in 2024? How should this inform your privacy program management for the rest of the year?
Join TrustArc, Goodwin, and Snyk privacy experts as they discuss the changes we’ve seen in the first half of 2024 and gain insight into the concrete, actionable steps you can take to up-level your privacy program in the second half of the year.
This webinar will review:
- Key changes to privacy regulations in 2024
- Key themes in privacy and data governance in 2024
- How to maximize your privacy program in the second half of 2024
An invited talk given by Mark Billinghurst on Research Directions for Cross Reality Interfaces. This was given on July 2nd 2024 as part of the 2024 Summer School on Cross Reality in Hagenberg, Austria (July 1st - 7th)
Details of description part II: Describing images in practice - Tech Forum 2024
This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator.
Link to presentation recording and transcript: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/
Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.
Are you interested in dipping your toes in the cloud native observability waters, but as an engineer you are not sure where to get started with tracing problems through your microservices and application landscapes on Kubernetes? Then this is the session for you, where we take you on your first steps in an active open-source project that offers a buffet of languages, challenges, and opportunities for getting started with telemetry data.
The project is called openTelemetry, but before diving into the specifics, we’ll start with de-mystifying key concepts and terms such as observability, telemetry, instrumentation, cardinality, percentile to lay a foundation. After understanding the nuts and bolts of observability and distributed traces, we’ll explore the openTelemetry community; its Special Interest Groups (SIGs), repositories, and how to become not only an end-user, but possibly a contributor.We will wrap up with an overview of the components in this project, such as the Collector, the OpenTelemetry protocol (OTLP), its APIs, and its SDKs.
Attendees will leave with an understanding of key observability concepts, become grounded in distributed tracing terminology, be aware of the components of openTelemetry, and know how to take their first steps to an open-source contribution!
Key Takeaways: Open source, vendor neutral instrumentation is an exciting new reality as the industry standardizes on openTelemetry for observability. OpenTelemetry is on a mission to enable effective observability by making high-quality, portable telemetry ubiquitous. The world of observability and monitoring today has a steep learning curve and in order to achieve ubiquity, the project would benefit from growing our contributor community.
Transcript: Details of description part II: Describing images in practice - T...
This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator.
Link to presentation recording and slides: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/
Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.
To help you choose the best DiskWarrior alternative, we've compiled a comparison table summarizing the features, pros, cons, and pricing of six alternatives.
Blockchain technology is transforming industries and reshaping the way we conduct business, manage data, and secure transactions. Whether you're new to blockchain or looking to deepen your knowledge, our guidebook, "Blockchain for Dummies", is your ultimate resource.
Kief Morris rethinks the infrastructure code delivery lifecycle, advocating for a shift towards composable infrastructure systems. We should shift to designing around deployable components rather than code modules, use more useful levels of abstraction, and drive design and deployment from applications rather than bottom-up, monolithic architecture and delivery.
This document provides an introduction to the Scala programming language for Java programmers. It discusses Scala's motivation as a scalable and more productive alternative to Java. Key features covered include static typing, object-oriented and functional programming, traits, pattern matching, and actors. Examples are provided to illustrate concepts like functions as first-class values, partially applied functions, and collection operations. The document concludes by mentioning additional Scala concepts and providing references for further reading.
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.
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.
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.
This document provides a dictionary of scala programming concepts including definitions of common jargon like ADT, typeclasses, extension methods, and call-by semantics. It defines ADT as algebraic data types, which were introduced in languages like Algol 60 and ML, and pattern matching which allows decomposing ADT values. Typeclasses are defined as rules for types like equality, with instances providing implementations. Extension methods and implicit conversions add methods to types via implicit parameters. Call-by-name and call-by-need semantics are discussed in relation to lazy evaluation.
This document provides a cheat sheet overview of Scala concepts including packages, imports, variables, constants, classes, traits, generics, methods, functions, operators, arrays, main methods, annotations, assignments, selection, iteration and references. Key points are that Scala uses packages similarly to Java but with curly brace delimiters, imports can be used anywhere in a file, variables use 'var', constants use 'val', classes inherit from Any and can use traits for mixins, generics are defined with type parameters, functions are objects, operators are methods, arrays are classes, main returns Unit, and assignments use = while iteration prefers recursion over loops.
Watch video (in Hebrew): http://parleys.com/play/53f7a9cce4b06208c7b7ca1e
Type classes are a fundamental feature of Scala, which allows you to layer new functionality on top of existing types externally, i.e. without modifying or recompiling existing code. When combined with implicits, this is a truly remarkable tool that enables many of the advanced features offered by the Scala library ecosystem. In this talk we'll go back to basics: how type classes are defined and encoded, and cover several prominent use cases.
A talk given at the Underscore meetup on 19 August, 2014.
The document is a slide presentation on Scala that provides an introduction to the language in 90 minutes or less. It covers Scala basics like being object oriented and functional, static typing, compilation to JVM bytecode, and interoperability with Java. It also discusses Scala tools, its use in open source projects and industry, recommended books, and jobs involving Scala. Code examples are provided to demonstrate Hello World programs, variables, methods, conditionals, sequences, and closures in Scala.
This document summarizes a talk given about Nokia's migration to Scala for its Places API. The key points are:
1) Nokia migrated its Places API codebase to Scala to take advantage of Scala's features like its powerful type system, immutable data structures, and functional programming capabilities.
2) The migration was done gradually over time while continuing to develop new features. They discovered many benefits of Scala along the way like improved test readability and JSON parsing capabilities.
3) Nokia uses Scala features like case classes, options, and functions to model data and add type safety to its codebase. This uncovered bugs that would have been hard to find in Java.
Some notes about programming in Scala: it covers Scala syntax and semantics, programming techniques, idioms, patterns. Many Scala features are introduced, from basic to intermediate and advanced. These are not introductory notes, but they assume a working knowledge with some other programming language (Java, C#, C++), object-oriented programming (OOP) concepts, and functional programming (FP) concepts.
This document summarizes some of the key differences between Scala and Java syntax. It covers topics like type definitions, variables, methods, classes, traits, collections, exceptions, control flow, and packages. Overall, the document shows that Scala code is more concise and expressive than equivalent Java code for many common programming constructs.
This document provides an introduction to the Scala programming language. It begins with an overview of Scala's motivation and history. It then covers the basics of Scala including simple data structures, loops, objects, types and generics. More advanced topics such as traits, mixins, implicit conversions and sealed classes are also discussed. The document concludes with references for further reading.
Scala Intro training @ Lohika, Odessa, UA.
This is a basic Scala Programming Language overview intended to evangelize the language among any-language programmers.
This document summarizes key features of the Scala programming language. Some key points include:
- Scala runs on the Java Virtual Machine (JVM) and allows for type inference, immutable values, functional programming patterns like pattern matching, and object-oriented features like traits for inheritance.
- Scala favors immutable values over mutable variables for scalability. Features like actors allow for concurrency without shared mutable state.
- Scala code can be compiled to JavaScript using Scala.js, allowing full-stack development in a single language.
- Traits provide a powerful way to do multiple inheritance by combining traits and classes at runtime.
This document provides an introduction to the Scala programming language. It discusses what Scala is, how to get started, basic concepts like mutability and functions, and Scala features like classes, traits, pattern matching, and collections. Scala combines object-oriented and functional programming. It runs on the Java Virtual Machine and is compatible with Java. The document provides code examples to demonstrate Scala concepts and features.
This document discusses various techniques for working with types in Scala, including:
1. The main alternatives for Scala types including classical OO, algebraic, generic, and structured types. It recommends choosing styles based on use cases and setting guidelines.
2. The differences between run-time and compile-time dispatch and how they are implemented in Scala.
3. Techniques for working with types including tagged types, type aliases, and implicit evidence to provide different behaviors based on types known at compile-time.
4. Resources for learning more about advanced type-level programming in Scala, particularly the Shapeless library.
This document discusses using Akka and actors for building scalable and concurrent applications in Scala. It introduces actors as fundamental units of computation that communicate asynchronously via message passing. Akka provides tools for creating actor systems and hierarchies. The document uses a monitoring application called Scotchdog as an example, with actors to represent services that are monitored by a watchdog actor. It describes how messages are used to start, stop and check services, and how the watchdog can aggregate status from child actors. The document also briefly mentions using Akka's scheduler and finite state machines to implement more complex actor behaviors.
Akka, an actor framework written in Scala (that also supports Java) provides you with all the benefits commonly found in actor frameworks, but without the kinks. This presentation will explore actor based concurrency using Akka, and dwell on some of Akka's stregths, culminating in the equation "Transactional Memory + Actors = Transactors".
A presentation at Twitter's official developer conference, Chirp, about why we use the Scala programming language and how we build services in it. Provides a tour of a number of libraries and tools, both developed at Twitter and otherwise.
Comparing JVM Web Frameworks - Devoxx France 2013Matt Raible
A comparison on JVM Web Frameworks. Includes strategies for choosing and results from research by InfoQ and devrates.com. Also, lots of pretty graphs.
See blog post about this presentation at http://raibledesigns.com/rd/entry/devoxx_france_a_great_conference and video recording at http://raibledesigns.com/rd/entry/video_of_comparing_jvm_web
This document discusses asynchronous I/O in Java and Scala using the Play Framework. It describes how LinkedIn uses a service-oriented architecture with hundreds of services making requests to each other. It then covers how Play supports non-blocking I/O using asynchronous code, promises, and futures to allow parallel requests without blocking threads. Key points covered include using map and flatMap to transform promises and futures, handling errors and timeouts, and the benefits of non-blocking I/O for scalability.
Slides for my talk event-sourced architectures with Akka. Discusses Akka Persistence as mechanism to do event-sourcing. Presented at Javaone 2014 and Jfokus 2015.
Akka is using the Actors together with STM to create a unified runtime and programming model for scaling both UP (multi-core) and OUT (grid/cloud). Akka provides location transparency by abstracting away both these tangents of scalability by turning them into an ops task. This gives the Akka runtime freedom to do adaptive automatic load-balancing, cluster rebalancing, replication & partitioning
The document discusses Scala and why some developers think it could replace Java on the JVM. It provides quotes from several influential developers, including the creator of Java and Groovy, expressing their view that Scala is the best candidate to replace Java in the long run. Specifically, James Gosling says that if he had to pick another language on the JVM besides Java, it would be Scala. Charlie Nutter describes Scala as the current heir apparent to the Java throne and the momentum behind Scala is now unquestionable. James Strachan says that if he had seen the Programming in Scala book in 2003, he may have never created Groovy and that his tip for a long term replacement for Java is
Most developers are aware about design patterns. The difficulty is not in understanding them but in getting an intuitive understanding of when and how to apply them. In this session, we'll go through a case study of how a tiny interpreter (of course written in Java) may implement different design patterns.
The link to source code is:
https://github.com/CodeOpsTech/InterpreterDesignPatterns
From Java to Scala - advantages and possible risksSeniorDevOnly
Oleksii Petinov during his presentation gave the audience the overview of his vision of Scala pros and contras. In his vision Scala smoothly integrates features of object-oriented and functional languages, enabling Java and other programmers to be more productive.
There is admittedly some truth to the statement that “Scala is complex”, but the learning curve is well worth the investment.
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.
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.
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.
Rich Internet Applications con JavaFX e NetBeans Fabrizio Giudici
JavaFX is a software platform for creating rich internet applications (RIAs) using Java that can compete with Flash/Flex and Silverlight, it is based on Java and the JavaFX runtime and includes tools like JavaFX Script for building the user interface and NetBeans as an integrated development environment. JavaFX aims to simplify building RIAs with features like bindings, listeners and components while allowing access to the full Java runtime.
This document provides an overview of Scala fundamentals including:
- Scala is a programming language for the JVM that supports both object-oriented and functional paradigms.
- It defines variables, values, lazy values, functions, types, classes, objects, traits, and higher-order functions.
- Classes can extend other classes and traits, allowing for multiple inheritance. Objects are used as singletons.
- Functional concepts like immutability, anonymous functions, and higher-order functions are supported.
This document provides an overview of the Scala programming language and discusses its usage on Android. Scala is a multi-paradigm language that integrates object-oriented and functional programming. It runs on the Java Virtual Machine and is used by companies like LinkedIn, Twitter, and The Guardian. Scala's features include being object-oriented, functional, statically typed, and expressive while allowing concise code. It supports classes, traits, pattern matching, and lazy evaluation among other things.
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.
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.
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.
This document provides an overview of JavaScript training topics including:
- Client-side programming fundamentals
- JavaScript syntax like variables, types, and arrays
- Object-oriented programming concepts like classes and methods
- Interacting with HTML and CSS
- Using development tools like Netbeans and Eclipse
- Advanced topics like scope, closures, prototypes, and JSON
(How) can we benefit from adopting scala?Tomasz Wrobel
Scala offers benefits from adopting it such as increased productivity through concise and expressive code, static typing with type inference, support for both object-oriented and functional programming paradigms, and interoperability with Java. Switching from Java to Scala involves some changes like using val for immutable variables and var for mutable, but overall the syntax is quite similar which eases the transition.
This presentation introduces the main features of Scala, an object oriented and functional programming language. The main focus of the slides is to show how the language implements natively some of the patterns and best practices that are no present in other programming languages, such as Java, C++ and so on.
In detail, the presentation spans these concepts:
- Language's main syntax
- Classes, abstract classes, objects and traits (mixin)
- The Option class
- An introduction to generics
- Implicit classes
- Functions
- Recursion (simple and tail)
- Currying
- Call by value / name
The presentation is took from the Software Engineering course I run in the bachelor-level informatics curriculum at the University of Padova.
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.
Introduction à Scala - Michel Schinz - January 2010JUG Lausanne
Scala is a programming language that combines object-oriented and functional programming. It runs on the JVM and is interoperable with Java. Scala is statically typed and concise.
Scala allows modeling of concepts like rational numbers and mutable cells. Classes can implement traits to mix in functionality like logging. Pattern matching makes deconstructing data structures like lists and optional values easy. The Scala library includes collections, functions, and other functional programming constructs.
BT & Neo4j: Knowledge Graphs for Critical Enterprise Systems.pptx.pdfNeo4j
Presented at Gartner Data & Analytics, London Maty 2024. BT Group has used the Neo4j Graph Database to enable impressive digital transformation programs over the last 6 years. By re-imagining their operational support systems to adopt self-serve and data lead principles they have substantially reduced the number of applications and complexity of their operations. The result has been a substantial reduction in risk and costs while improving time to value, innovation, and process automation. Join this session to hear their story, the lessons they learned along the way and how their future innovation plans include the exploration of uses of EKG + Generative AI.
How RPA Help in the Transportation and Logistics Industry.pptxSynapseIndia
Revolutionize your transportation processes with our cutting-edge RPA software. Automate repetitive tasks, reduce costs, and enhance efficiency in the logistics sector with our advanced solutions.
The DealBook is our annual overview of the Ukrainian tech investment industry. This edition comprehensively covers the full year 2023 and the first deals of 2024.
Quantum Communications Q&A with Gemini LLM. These are based on Shannon's Noisy channel Theorem and offers how the classical theory applies to the quantum world.
Implementations of Fused Deposition Modeling in real worldEmerging Tech
The presentation showcases the diverse real-world applications of Fused Deposition Modeling (FDM) across multiple industries:
1. **Manufacturing**: FDM is utilized in manufacturing for rapid prototyping, creating custom tools and fixtures, and producing functional end-use parts. Companies leverage its cost-effectiveness and flexibility to streamline production processes.
2. **Medical**: In the medical field, FDM is used to create patient-specific anatomical models, surgical guides, and prosthetics. Its ability to produce precise and biocompatible parts supports advancements in personalized healthcare solutions.
3. **Education**: FDM plays a crucial role in education by enabling students to learn about design and engineering through hands-on 3D printing projects. It promotes innovation and practical skill development in STEM disciplines.
4. **Science**: Researchers use FDM to prototype equipment for scientific experiments, build custom laboratory tools, and create models for visualization and testing purposes. It facilitates rapid iteration and customization in scientific endeavors.
5. **Automotive**: Automotive manufacturers employ FDM for prototyping vehicle components, tooling for assembly lines, and customized parts. It speeds up the design validation process and enhances efficiency in automotive engineering.
6. **Consumer Electronics**: FDM is utilized in consumer electronics for designing and prototyping product enclosures, casings, and internal components. It enables rapid iteration and customization to meet evolving consumer demands.
7. **Robotics**: Robotics engineers leverage FDM to prototype robot parts, create lightweight and durable components, and customize robot designs for specific applications. It supports innovation and optimization in robotic systems.
8. **Aerospace**: In aerospace, FDM is used to manufacture lightweight parts, complex geometries, and prototypes of aircraft components. It contributes to cost reduction, faster production cycles, and weight savings in aerospace engineering.
9. **Architecture**: Architects utilize FDM for creating detailed architectural models, prototypes of building components, and intricate designs. It aids in visualizing concepts, testing structural integrity, and communicating design ideas effectively.
Each industry example demonstrates how FDM enhances innovation, accelerates product development, and addresses specific challenges through advanced manufacturing capabilities.
Understanding Insider Security Threats: Types, Examples, Effects, and Mitigat...Bert Blevins
Today’s digitally connected world presents a wide range of security challenges for enterprises. Insider security threats are particularly noteworthy because they have the potential to cause significant harm. Unlike external threats, insider risks originate from within the company, making them more subtle and challenging to identify. This blog aims to provide a comprehensive understanding of insider security threats, including their types, examples, effects, and mitigation techniques.
Coordinate Systems in FME 101 - Webinar SlidesSafe Software
If you’ve ever had to analyze a map or GPS data, chances are you’ve encountered and even worked with coordinate systems. As historical data continually updates through GPS, understanding coordinate systems is increasingly crucial. However, not everyone knows why they exist or how to effectively use them for data-driven insights.
During this webinar, you’ll learn exactly what coordinate systems are and how you can use FME to maintain and transform your data’s coordinate systems in an easy-to-digest way, accurately representing the geographical space that it exists within. During this webinar, you will have the chance to:
- Enhance Your Understanding: Gain a clear overview of what coordinate systems are and their value
- Learn Practical Applications: Why we need datams and projections, plus units between coordinate systems
- Maximize with FME: Understand how FME handles coordinate systems, including a brief summary of the 3 main reprojectors
- Custom Coordinate Systems: Learn how to work with FME and coordinate systems beyond what is natively supported
- Look Ahead: Gain insights into where FME is headed with coordinate systems in the future
Don’t miss the opportunity to improve the value you receive from your coordinate system data, ultimately allowing you to streamline your data analysis and maximize your time. See you there!
Sustainability requires ingenuity and stewardship. Did you know Pigging Solutions pigging systems help you achieve your sustainable manufacturing goals AND provide rapid return on investment.
How? Our systems recover over 99% of product in transfer piping. Recovering trapped product from transfer lines that would otherwise become flush-waste, means you can increase batch yields and eliminate flush waste. From raw materials to finished product, if you can pump it, we can pig it.
Quality Patents: Patents That Stand the Test of TimeAurora Consulting
Is your patent a vanity piece of paper for your office wall? Or is it a reliable, defendable, assertable, property right? The difference is often quality.
Is your patent simply a transactional cost and a large pile of legal bills for your startup? Or is it a leverageable asset worthy of attracting precious investment dollars, worth its cost in multiples of valuation? The difference is often quality.
Is your patent application only good enough to get through the examination process? Or has it been crafted to stand the tests of time and varied audiences if you later need to assert that document against an infringer, find yourself litigating with it in an Article 3 Court at the hands of a judge and jury, God forbid, end up having to defend its validity at the PTAB, or even needing to use it to block pirated imports at the International Trade Commission? The difference is often quality.
Quality will be our focus for a good chunk of the remainder of this season. What goes into a quality patent, and where possible, how do you get it without breaking the bank?
** Episode Overview **
In this first episode of our quality series, Kristen Hansen and the panel discuss:
⦿ What do we mean when we say patent quality?
⦿ Why is patent quality important?
⦿ How to balance quality and budget
⦿ The importance of searching, continuations, and draftsperson domain expertise
⦿ Very practical tips, tricks, examples, and Kristen’s Musts for drafting quality applications
https://www.aurorapatents.com/patently-strategic-podcast.html
TrustArc Webinar - 2024 Data Privacy Trends: A Mid-Year Check-InTrustArc
Six months into 2024, and it is clear the privacy ecosystem takes no days off!! Regulators continue to implement and enforce new regulations, businesses strive to meet requirements, and technology advances like AI have privacy professionals scratching their heads about managing risk.
What can we learn about the first six months of data privacy trends and events in 2024? How should this inform your privacy program management for the rest of the year?
Join TrustArc, Goodwin, and Snyk privacy experts as they discuss the changes we’ve seen in the first half of 2024 and gain insight into the concrete, actionable steps you can take to up-level your privacy program in the second half of the year.
This webinar will review:
- Key changes to privacy regulations in 2024
- Key themes in privacy and data governance in 2024
- How to maximize your privacy program in the second half of 2024
An invited talk given by Mark Billinghurst on Research Directions for Cross Reality Interfaces. This was given on July 2nd 2024 as part of the 2024 Summer School on Cross Reality in Hagenberg, Austria (July 1st - 7th)
Details of description part II: Describing images in practice - Tech Forum 2024BookNet Canada
This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator.
Link to presentation recording and transcript: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/
Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.
Are you interested in dipping your toes in the cloud native observability waters, but as an engineer you are not sure where to get started with tracing problems through your microservices and application landscapes on Kubernetes? Then this is the session for you, where we take you on your first steps in an active open-source project that offers a buffet of languages, challenges, and opportunities for getting started with telemetry data.
The project is called openTelemetry, but before diving into the specifics, we’ll start with de-mystifying key concepts and terms such as observability, telemetry, instrumentation, cardinality, percentile to lay a foundation. After understanding the nuts and bolts of observability and distributed traces, we’ll explore the openTelemetry community; its Special Interest Groups (SIGs), repositories, and how to become not only an end-user, but possibly a contributor.We will wrap up with an overview of the components in this project, such as the Collector, the OpenTelemetry protocol (OTLP), its APIs, and its SDKs.
Attendees will leave with an understanding of key observability concepts, become grounded in distributed tracing terminology, be aware of the components of openTelemetry, and know how to take their first steps to an open-source contribution!
Key Takeaways: Open source, vendor neutral instrumentation is an exciting new reality as the industry standardizes on openTelemetry for observability. OpenTelemetry is on a mission to enable effective observability by making high-quality, portable telemetry ubiquitous. The world of observability and monitoring today has a steep learning curve and in order to achieve ubiquity, the project would benefit from growing our contributor community.
Transcript: Details of description part II: Describing images in practice - T...BookNet Canada
This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator.
Link to presentation recording and slides: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/
Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.
Comparison Table of DiskWarrior Alternatives.pdfAndrey Yasko
To help you choose the best DiskWarrior alternative, we've compiled a comparison table summarizing the features, pros, cons, and pricing of six alternatives.
Blockchain technology is transforming industries and reshaping the way we conduct business, manage data, and secure transactions. Whether you're new to blockchain or looking to deepen your knowledge, our guidebook, "Blockchain for Dummies", is your ultimate resource.
Kief Morris rethinks the infrastructure code delivery lifecycle, advocating for a shift towards composable infrastructure systems. We should shift to designing around deployable components rather than code modules, use more useful levels of abstraction, and drive design and deployment from applications rather than bottom-up, monolithic architecture and delivery.
3. Knoldus
Agenda
● Scala Who & Why?
● First Steps
● Classes and Objects
● Control Structures
and Functions
● Inheritance and
Traits
● Pattern Matching
4. Knoldus
Agenda
● Scala Who & Why?
● First Steps
● Classes and Objects
● Control Structures
and Functions
● Inheritance and
Traits
● Pattern Matching
5. Knoldus
In 2003, Martin Odersky and his team set
out to create a “scalable” language that
fused important concepts from functional
and object-oriented programming. The
language aimed to be highly interoperable
with Java, have a rich type system, and to
allow developers to express powerful
concepts concisely.
8. Knoldus
Functional programming
contructs make it easy
to build interesting
things quickly from small
parts
Object oriented constructs
make it easy to structure
large systems and
adapt to new demands
9. Knoldus
Object oriented
Everything is an object, pure OO
Not like java where we have primitives / static
fields and methods which are not members of any
object
1+2 is actually 1.+(2)
1 + 2
//> res1: Int(3) = 3
1 .+(2)
//> res2: Int(3) = 3
17. Knoldus
Agenda
● Scala Who & Why?
● First Steps
● Classes and Objects
● Control Structures
and Functions
● Inheritance and
Traits
● Pattern Matching
22. Knoldus
Unit
A result of Unit indicates that the function returns no interesting
value
def justGreet(name:String) = println("Hello " + name) //>
justGreet: (name: String)Unit
Similar to void in Java
23. Knoldus
Everything returns a value
val number = {
val x: Int = 7
val y: Int = 9
x + y
} //> number : Int = 16
if (1 < 10) 15 else 17
24. Knoldus
Everything returns a value
val number = {
val x: Int = 7
val y: Int = 9
x + y
} //> number : Int = 16
if (1 < 10) 15 else 17
36. Knoldus
Agenda
● Scala Who & Why?
● First Steps
● Classes and Objects
● Control Structures
and Functions
● Inheritance and
Traits
● Pattern Matching
37. Knoldus
Singleton objects
● A singleton object is like a class and its sole
instance
● Use the keyword object to define a singleton
object:
object Foo {
val bar = "Bar"
}
Access singleton objects like Foo.bar
39. Knoldus
Classes
● Classes are blueprints for objects
● class Bank – is a valid class definition
No Semicolon
No access modifier, public by default
No curly braces since no body
Create a new instance
new Bank
45. Knoldus
Accessing fields of a class
class Bank(id: Int, name: String) {
val kind = "Blue"
var address = "Delhi"
def this(str: String) = this(1, str)
def this() = this(1, "")
}
val b = new Bank(1, "BoA")
b.address = "Mumbai"
b.kind = "op"
immutable
mutable
46. Knoldus
Making fields from class parameters
class Bank(val id: Int, var name: String) {
val kind = "Blue"
var address = "Delhi"
def this(str: String) = this(1, str)
def this() = this(1, "")
}
See if you can access id and name outside the class now
47. Knoldus
Make a Bank class with the following immutable
parameters
Id, name, address, city
Create a bank instance and access its fields
Make a Account class with the following immutable
parameters
Id, name, amount
Create a Account instance and access its fields
49. Knoldus
class Account(id: Int, name: String, amount: Int) {
def debit(debitAmount: Int): Int = amount - debitAmount
def -(debitAmount: Int): Int = amount - debitAmount
}
new Account(1, "VikasAccount", 100) - 20 //
50. Knoldus
Default Parameters
class Account(id: Int, name: String, amount: Int = 0) {
def debit(debitAmount: Int): Int = amount - debitAmount
def -(debitAmount: Int): Int = amount - debitAmount
}
With default parameters,
new Account(1,"Another")
51. Knoldus
Singleton objects
● A singleton object is like a class and its sole
instance
● Use the keyword object to define a singleton
object:
object Foo {
val bar = "Bar"
}
Access singleton objects like Foo.bar
52. Knoldus
Singleton Objects
● Can be thought to be like static in Java but
these are real objects which can inherit and be
passed around
53. Knoldus
Companion Objects
● If a singleton object and a class or trait share
the same name, package and file, they are
called companions
class Bank(val id: Int, var name: String) {
private val kind = "Blue"
var address = "Delhi" + Bank.city
def this(str: String) = this(1, str)
def this() = this(1, "")
}
object Bank {
private val city = "Delhi"
val newBank = new Bank(1,"ABC")
newBank.kind
}
Class or trait can
access private
member of
Companion
object
54. Knoldus
Create a companion object for Account
Create a method in account object to get the type
of account like Saving or Checking
Or
Any other method that you like
55. Knoldus
Understanding Predef
Predef object provides definitions which are accessible in all
Scala compilation units without explicit qualification
Aliases for types such as Map, Set and List
Assertions – Require and Ensuring
Console IO – such as print, println, readLine, readInt. These
methods are otherwise provided by scala.Console
56. Knoldus
Add a require assertion to the account that id has
to be > 0
Add any other preconditions for accounts
57. Knoldus
class Bank(val id: Int, var name: String) {
require(id > 0)
private val kind = "Blue"
var address = "Delhi"
Bank.city
def this(str: String) = this(1, str)
def this() = this(1, "")
}
object Bank {
val city = "Delhi"
val newBank = new Bank(1, "ABC")
}
new Bank(0,"ll") //>
java.lang.IllegalArgumentException: requirement failed
58. Knoldus
Case Classes
Add syntactic convenience to your class
Add factory method with
Name of class so we don't
Need to do new
All parameters in the
Parameter list get a val by
default
Natural implementation of
toString, hashCode and
equals to the class
Support pattern matching
Small price
In terms of
Size
59. Knoldus
case class Bird(name: String)
val b = Bird("pigeon") //> b : lab1.Bird = Bird(pigeon)
val c = Bird("pigeon") //> c : lab1.Bird = Bird(pigeon)
b == c //> res7: Boolean = true
60. Knoldus
Try converting the Bank and Account classes to
case classes
Remove vals, new, try out the toString, equals etc
62. Knoldus
What does it mean?
1/2 + 5/6 = 8/6
Rational numbers do not have mutable state
When we add two rational numbers we get a new rational
number back
63. Knoldus
Why immutability is good?
Easier to reason Since there are no complex
state spaces that change over
time
Pass around freely
2 threads cannot corrupt
Make safe hashtable keys
Whereas for mutable objects
we need to make defensive
copies first
Once constructed, no-one can
change it
A mutable object may not be
found in the same hashset
once its state is mutated
64. Knoldus
Agenda
● Scala Who & Why?
● First Steps
● Classes and Objects
● Control Structures
and Functions
● Inheritance and
Traits
● Pattern Matching
65. Knoldus
Built in control structures
Almost all Scala control structures would result in
a value
Without this programs must create temporary
variables to hold values calculated inside control
structures
66. Knoldus
● Conventional way
● Scala way
var fileName = "default.txt"
if (1 < 2) fileName = "newDefault.txt"
val fileNameNew = if (1<2) "newDefault.txt" else "default.txt"
Using val
67. Knoldus
Are called loops and
Not expressions because
They do not result in a value
Usually left out of functional
programming
68. Knoldus
For expression
Without a yield does not result in a value
for (l <- List(1,2,3,4)) yield if (l%2==0) l else 1
//
> res10: List[Int] = List(1, 2, 1, 4)
With a yield
returns a value
69. Knoldus
Try Catch
In Scala all exceptions are unchecked exceptions and we
need not catch any exception explicitly.
Technically an Exception throw is of the type Nothing
val n = 11
import java.io.FileNotFoundException
try {
val bb = if (n % 2 == 0) n / 2 else throw new Exception
} catch {
case ex: FileNotFoundException => // Missing file
case ex: Exception => println("caught exception")
} //> caught exception
70. Knoldus
Match Expression
Unlike Java's Switch statement, match expression results in a value
val matchValue = n match {
case 11 => "eleven"
case _ => "I dont know"
}
//> matchValue : java.lang.String = eleven
println(matchValue)
71. Knoldus
Functions
Allow us to code the functionality of the system
Most Functions are member of some object
Functions can be nested within other functions
We can define function literals and function values
74. Knoldus
Function Literals
Functions can be written as unnamed function literals
and passed as values!
Function literal
in source code
Compiled to
Function value
at runtime
75. Knoldus
(x:Int)=> x * 2
Is a valid function literal, it can be
Assigned to a variable
Passed in another function
76. Knoldus
val multiply = (x:Int) => x * 2
multiply (20) //> res11: Int = 40
multiply (25) //> res12: Int = 50
Function literals can be assigned to variables
77. Knoldus
Short forms for function literals works when the
compiler can infer what it would be
List(1,2,3) foreach ((x)=>x*2)
val multiply = (x) => x * 2
This would fail
78. Knoldus
Placeholder syntax, if the parameter appears
only one time within the function literal
List(1,2,3) foreach (_*2)
List(1,2,3) foreach ((x)=>x*2)
79. Knoldus
Agenda
● Scala Who & Why?
● First Steps
● Classes and Objects
● Control Structures
and Functions
● Inheritance and
Traits
● Pattern Matching
83. Knoldus
class Animal(name: String) {
val kind = "carnivorous"
}
class Dog(name: String) extends Animal(name) {
override val kind = "vegetarian"
}
class Dog(name: String) extends Animal(name) {
override val kind = "vegetarian"
override val dangerous = true
}
Complains that it
overrides nothing
Hence helps us with
warning
85. Knoldus
Scala Hierarchy
● All classes extend from a common superclass
called Any
● Methods of Any are universal methods
● Null and Nothing are common subclasses at
the bottom of the hierarchy
91. Knoldus
Traits
Declare fields
Can have state
Define functionality
Anything that can be done in
class definition can be done in
trait definition as well
Cannot have class parameters
(which are passed to primary
constructor of class)
Super calls are dynamically
bound
92. Knoldus
Rich Interface
Has many methods, which makes
it convenient for caller
Thin Interface
Has less methods which
makes it easy for
implementors
Scala allows adding concrete implementations in traits which makes it suitable
for Rich interfaces + methods which need to be implemented by implementors
which is like a thin interface as well
93. Knoldus
Agenda
● Scala Who & Why?
● First Steps
● Classes and Objects
● Control Structures
and Functions
● Inheritance and
Traits
● Pattern Matching
94. Knoldus
Agenda
● Scala Who & Why?
● First Steps
● Classes and Objects
● Control Structures
and Functions
● Inheritance and
Traits
● Pattern Matching
95. Knoldus
General Syntax
Matching order is top
to bottom
No need to give
break
As soon as the first
match is executed, it
breaks
If a pattern matches, result is given. If no pattern
matches then MatchError is thrown
96. Knoldus
Wildcard pattern
val name = "vikas"
name match {
case "Sachin" => println("Sud")
case "Virender" => println("Virender")
case "Dhoni" => println("Dhoni")
case "Vikas" => println("Vikas")
case _ => println("Nothing matched")
}
Put wildcard match as the last alternative to prevent
MatchError
Wildcard match
97. Knoldus
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Software LLP
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people attending the Knoldus Scala training.
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