The document discusses four approaches to implementing higher-kinded types in the Dotty compiler: the simple encoding, projection encoding, refinement encoding, and direct representation. It describes each approach and its limitations. The simple encoding provides a modest way to support basic higher-kinded concepts but has difficulty explaining legality. The projection and refinement encodings had problems and were ultimately less successful than initially hoped. A direct representation of higher-kinded types through special type forms was needed for robust support. While compiler hacking validated ideas, a better theoretical foundation relating higher-kinded types to the DOT calculus may have avoided some experiments.
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.
This document provides an overview of key concepts in Core Java including keywords, access modifiers, class modifiers, flow control statements, error handling, packages, primitives, variables, constructors, nested classes, and inner classes. It defines and describes keywords like public, private, protected, static, final, and more. It also covers primitive types, literals, and ranges. Class concepts explained include instance variables, static variables, constructors, the this keyword, static and non-static methods, and nested/inner classes.
This the slide stack for the two videos on Data types in my YouTube series on JavaScript. The videos are at https://www.youtube.com/watch?v=UAtJXkGggOU and https://www.youtube.com/watch?v=H2sjsGZyYaw
The document outlines an agenda for learning core Java concepts over 15 sections. It introduces key Java topics like primitive data types, variables, arrays, control flow statements, classes and objects, inheritance, polymorphism, exceptions, strings and characters, files and streams, and generic collections. The agenda also covers defining classes and methods, passing arguments, encapsulation, and memory concepts like objects, references, and the heap.
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.
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 discusses the evolution of programming languages and hardware over time. It covers older languages like FORTRAN, BASIC, and C/C++. It also discusses newer languages like Rust, Go, and Julia. It describes how memory management, concurrency models, and distributed computing have changed. It proposes using techniques like functional interpreters and macros to allow languages to be more easily extended and adapted to new hardware. The document advocates for approaches that can efficiently support both old and new programming ideas.
Presentation about functional programming theory with practice knowledge and examples in F#. Total basics for people who have never seen F# or functional programming but have some experience in development.
This document provides concepts to memorize for the Oracle Certificate Associate Java 7 exam. It includes summaries of topics like default constructors, legal vs illegal class declarations, interfaces, methods, numbers, floating point numbers, boxing and unboxing, literals, operators, strings, arrays, collections, loops, and common mistakes. The document is from a personal note and is not an official Java course, but rather concepts to commit to memory for the exam. It cites three books as references for additional study material.
Introduction to Functional Programming with Scalapramode_ce
The document provides an introduction to functional programming with Scala. It outlines the following topics that will be covered: learning Scala syntax and writing simple programs; important functional programming concepts like closures, higher-order functions, purity, lazy evaluation, currying, tail calls, immutability, and type inference; and understanding the functional programming paradigm through Scala. It also provides some background information on Scala and examples of Scala code demonstrating various concepts.
- Types, classes and concepts discusses Haskell types and type classes and how they provide parametric polymorphism and constrain types through class declarations and instance declarations. It also discusses how C++ uses templates for parametric polymorphism but lacks type classes.
- Concepts were proposed for C++ to specify type constraints but were dropped from C++11. Concepts lite were introduced in C++14 as template constraints to check types at use.
- The document proposes implementing type classes in C++ using static asserts, template constraints to check for type class instances, type class definitions, and SFINAE to check for function existence. This would allow constraining template arguments and functions to types that satisfy type class constraints.
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.
This document summarizes a presentation about practical type mining in Scala using reflection. It discusses how Salat used pickled Scala signatures before 2.10 to mine types without runtime reflection. It covers benefits of 2.10 reflection like choosing runtime vs compile-time reflection. It provides an overview of universes, mirrors, symbols and trees, and how to navigate and inspect them. It also discusses limitations like non-thread-safe reflection and provides examples of macros libraries.
Functions in Scala allow dividing programs into smaller, manageable pieces that perform specific tasks. Some key features of functions in Scala include local functions defined inside other functions, first-class functions that can be passed as arguments, partially applied functions, closures that close over variables from outer scopes, and repeated/variable length parameters indicated with an asterisk. Tail recursion makes recursive functions more efficient by ensuring the recursive call is the last operation.
Talk from LambdaDays 2014 in Krakow.
The talk focuses on some of Scala's more prominent types.
Video available here: https://vimeo.com/92620078
Cat is a C++14 functional library inspired by Haskell. It consists of 97 headers divided into utilities, type classes, and type class instances. The library is still a work in progress with missing documentation. It provides utility functions for functional programming like curry, compose, and flip. It also implements type classes like Functor, Applicative, and Monoid for standard C++ types. The library aims to improve code quality by encouraging pure functions, immutability, and functional thinking in C++.
Generic Types in Java (for ArtClub @ArtBrains Software)Andrew Petryk
This document discusses generics in Java. It provides an overview of generics, including:
- How generics allow for stronger type checking and elimination of casts compared to non-generic code.
- The benefits of generics include type safety and implementation of generic algorithms.
- Key concepts related to generics include type erasure, bounds/restrictions, wildcards, and type inference.
- Examples are provided to illustrate generic classes, methods, and common issues like heap pollution.
Objective-C to Swift - Swift Cloud Workshop 3Randy Scovil
The document provides an overview of the Swift programming language from the perspective of an instructor who has taught both Objective-C and Swift courses. It covers key differences between Swift and Objective-C like value types, optionals, error handling, and the Codable protocol. The instructor observes that while some aspects of Swift are easier to learn, other advanced features can be more difficult. Examples throughout demonstrate language concepts.
This document summarizes key aspects of Scala syntax analysis and compiler construction. It discusses:
1. Scala identifier naming conventions including uppercase class names and lowercase method names.
2. Character classification in Scala including whitespace, letters, digits, and operator characters.
3. The four types of identifiers in Scala: alphanumeric, operator, mixed, and literal identifiers.
4. Scala keywords and comments. It also discusses newline characters, Scala mode vs. XML mode for parsing, and provides references for further information.
This document provides an overview of a 30-minute Scala tutorial covering Scala's core features like case classes, pattern matching, implicit classes, higher-order functions, and the Option monad. Scala is designed for concise syntax compared to Java, supports both object-oriented and functional programming, and is statically typed on the JVM. The tutorial demonstrates Scala concepts like implicit classes extending functionality, pattern matching for control flow, and using the Option monad to avoid null checks when chaining method calls.
Implicit conversions and parameters allow interoperability between types in Scala. Implicit conversions define how one type can be converted to another type, and are governed by rules around marking, scope, ambiguity, and precedence. The compiler tries to insert implicit conversions in three places: to match an expected type, to convert a receiver before a method selection, and to provide missing implicit parameters. Debugging implicits involves explicitly writing out conversions to see where errors occur.
Scala is a programming language that unifies object-oriented and functional programming. The document introduces Scala concepts including everything being an expression, pattern matching, and the type system. It discusses Scala's class hierarchy and data types. It also covers programming with Scala using the REPL, worksheets, and main and App objects. Finally, it provides an overview of object-oriented concepts in Scala like classes, traits, and case classes as well as functional concepts like anonymous functions, higher-order functions, and immutability.
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.
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.
This document discusses the evolution of programming languages and hardware over time. It covers older languages like FORTRAN, BASIC, and C/C++. It also discusses newer languages like Rust, Go, and Julia. It describes how memory management, concurrency models, and distributed computing have changed. It proposes using techniques like functional interpreters and macros to allow languages to be more easily extended and adapted to new hardware. The document advocates for approaches that can efficiently support both old and new programming ideas.
Presentation about functional programming theory with practice knowledge and examples in F#. Total basics for people who have never seen F# or functional programming but have some experience in development.
This document provides concepts to memorize for the Oracle Certificate Associate Java 7 exam. It includes summaries of topics like default constructors, legal vs illegal class declarations, interfaces, methods, numbers, floating point numbers, boxing and unboxing, literals, operators, strings, arrays, collections, loops, and common mistakes. The document is from a personal note and is not an official Java course, but rather concepts to commit to memory for the exam. It cites three books as references for additional study material.
Introduction to Functional Programming with Scalapramode_ce
The document provides an introduction to functional programming with Scala. It outlines the following topics that will be covered: learning Scala syntax and writing simple programs; important functional programming concepts like closures, higher-order functions, purity, lazy evaluation, currying, tail calls, immutability, and type inference; and understanding the functional programming paradigm through Scala. It also provides some background information on Scala and examples of Scala code demonstrating various concepts.
- Types, classes and concepts discusses Haskell types and type classes and how they provide parametric polymorphism and constrain types through class declarations and instance declarations. It also discusses how C++ uses templates for parametric polymorphism but lacks type classes.
- Concepts were proposed for C++ to specify type constraints but were dropped from C++11. Concepts lite were introduced in C++14 as template constraints to check types at use.
- The document proposes implementing type classes in C++ using static asserts, template constraints to check for type class instances, type class definitions, and SFINAE to check for function existence. This would allow constraining template arguments and functions to types that satisfy type class constraints.
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.
This document summarizes a presentation about practical type mining in Scala using reflection. It discusses how Salat used pickled Scala signatures before 2.10 to mine types without runtime reflection. It covers benefits of 2.10 reflection like choosing runtime vs compile-time reflection. It provides an overview of universes, mirrors, symbols and trees, and how to navigate and inspect them. It also discusses limitations like non-thread-safe reflection and provides examples of macros libraries.
Functions in Scala allow dividing programs into smaller, manageable pieces that perform specific tasks. Some key features of functions in Scala include local functions defined inside other functions, first-class functions that can be passed as arguments, partially applied functions, closures that close over variables from outer scopes, and repeated/variable length parameters indicated with an asterisk. Tail recursion makes recursive functions more efficient by ensuring the recursive call is the last operation.
Talk from LambdaDays 2014 in Krakow.
The talk focuses on some of Scala's more prominent types.
Video available here: https://vimeo.com/92620078
Cat is a C++14 functional library inspired by Haskell. It consists of 97 headers divided into utilities, type classes, and type class instances. The library is still a work in progress with missing documentation. It provides utility functions for functional programming like curry, compose, and flip. It also implements type classes like Functor, Applicative, and Monoid for standard C++ types. The library aims to improve code quality by encouraging pure functions, immutability, and functional thinking in C++.
Generic Types in Java (for ArtClub @ArtBrains Software)Andrew Petryk
This document discusses generics in Java. It provides an overview of generics, including:
- How generics allow for stronger type checking and elimination of casts compared to non-generic code.
- The benefits of generics include type safety and implementation of generic algorithms.
- Key concepts related to generics include type erasure, bounds/restrictions, wildcards, and type inference.
- Examples are provided to illustrate generic classes, methods, and common issues like heap pollution.
Objective-C to Swift - Swift Cloud Workshop 3Randy Scovil
The document provides an overview of the Swift programming language from the perspective of an instructor who has taught both Objective-C and Swift courses. It covers key differences between Swift and Objective-C like value types, optionals, error handling, and the Codable protocol. The instructor observes that while some aspects of Swift are easier to learn, other advanced features can be more difficult. Examples throughout demonstrate language concepts.
This document summarizes key aspects of Scala syntax analysis and compiler construction. It discusses:
1. Scala identifier naming conventions including uppercase class names and lowercase method names.
2. Character classification in Scala including whitespace, letters, digits, and operator characters.
3. The four types of identifiers in Scala: alphanumeric, operator, mixed, and literal identifiers.
4. Scala keywords and comments. It also discusses newline characters, Scala mode vs. XML mode for parsing, and provides references for further information.
This document provides an overview of a 30-minute Scala tutorial covering Scala's core features like case classes, pattern matching, implicit classes, higher-order functions, and the Option monad. Scala is designed for concise syntax compared to Java, supports both object-oriented and functional programming, and is statically typed on the JVM. The tutorial demonstrates Scala concepts like implicit classes extending functionality, pattern matching for control flow, and using the Option monad to avoid null checks when chaining method calls.
Implicit conversions and parameters allow interoperability between types in Scala. Implicit conversions define how one type can be converted to another type, and are governed by rules around marking, scope, ambiguity, and precedence. The compiler tries to insert implicit conversions in three places: to match an expected type, to convert a receiver before a method selection, and to provide missing implicit parameters. Debugging implicits involves explicitly writing out conversions to see where errors occur.
Scala is a programming language that unifies object-oriented and functional programming. The document introduces Scala concepts including everything being an expression, pattern matching, and the type system. It discusses Scala's class hierarchy and data types. It also covers programming with Scala using the REPL, worksheets, and main and App objects. Finally, it provides an overview of object-oriented concepts in Scala like classes, traits, and case classes as well as functional concepts like anonymous functions, higher-order functions, and immutability.
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.
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.
http://techtalks.nsu.ru
Видеозапись: https://www.youtube.com/watch?v=1AW9aus1mTE
3 ноября 2015. Алексей Жидков (Excelsior) рассказывает про Kotlin
«Kotlin — это относительно молодой JVM-based язык, поддерживающий в том числе компиляцию в Javascript. В этом докладе мы расскажем о том, зачем создавался Kotlin, покажем наиболее интересные его фичи путем решения небольшой, но реальной практической задачи, а также дадим простой рецепт, который позволит определить, нужен ли вам Kotlin или нет.
К слову, Kotlin был создан в России. Часто ли вы пишете на языках отечественного производства?»
Лекция прочитана в рамках проекта Tech Talks @NSU – серии открытых лекций о разработке ПО и карьере в IT, проводимых в Новосибирском государственном университете.
Подробности: http://techtalks.nsu.ru
This document summarizes a presentation about transitioning from Java to Scala. It introduces Scala, noting its object-functional nature and key differences from Java like val/var declarations and functional features. It then covers translating common Java code constructs to Scala like methods, classes, and pattern matching. Specific Scala concepts are explained, such as tuples, immutability, monads, Option and Try. Finally, it discusses that Scala allows gradual migration from imperative to functional programming and is not opinionated about style.
This document discusses common C++ bugs and tools to find them. It describes various types of memory access bugs like buffer overflows on the stack, heap, and globals that can lead to crashes or security vulnerabilities. Threading bugs like data races, deadlocks, and race conditions on object destruction are also covered. Other undefined behaviors like initialization order issues, lack of sequence points, and integer overflows are explained. The document provides examples of each type of bug and emphasizes that undefined behavior does not guarantee a predictable result. It concludes with a quiz to find bugs in a code sample and links to additional reading materials.
Infinum Android Talks #20 - Benefits of using KotlinInfinum
After this talk, using plain old Java for Android development will no longer be good enough for you. You have been warned. Presented by Dino Kovač from Infinum.
If you still haven't heard of it, there is a new star in JVM sky - Kotlin. This short presentation will serve as intro for those who wan't to hear what's all the fuss about and dive deeper into this new alternative to Java
The document discusses how programming languages have evolved over time and questions whether arguing over languages still matters. It notes that open-source languages are better, languages can be easily combined, and changing languages is no longer a big deal. While Scala improves on Java, its complexity may not justify switching. Different paradigms could provide more productivity gains. The author considers exploring other languages like Erlang, Rust, Kotlin as easier translations from Scala.
Kotlin advanced - language reference for android developersBartosz Kosarzycki
StxNext Lightning Talks - Mar 11, 2016
Kotlin Advanced - language reference for Android developers
This presentation contains the second talk on Kotlin language we had at STXNext. We try go deeper into language specifics and look at the positive impact new syntax can have on boilerplate removal and readability improvement.
Kotlin really shines in Android development when one looks at “Enum translation”, “Extension functions”, “SAM conversions”, “Infix notation”, “Closures” and “Fluent interfaces” applied to lists. The talk, however, compares language-specifics of Java & Kotlin in terms of “Type Variance”, “Generics” and “IDE tools” as well.
We present real-world example based on Stx-Insider project written in Kotlin which incorporates Dagger 2, Kotterknife, Retrofit2 and is composed of 5+ Activities.
Full agenda
Live templates
Enum translation
Calling extension functions from Kotlin/Java
Constructors with backing fields
Warnings
F-bound polymorphism
Variance (Covariance/Contravariance)
Variance comparison in Kotlin/Java/Scala
Annotation processing - KAPT
SAM conversions
Type equality
Lambda vs Closure
Reified generics
Fluent interfaces
Infix notation
Static extension methods in Kotlin
Generic types
Sealed classes
Dokka - documentation in Kotlin
J2K converter
Real-world example
Reflection
Presentation is accompanied with an example project (StxInsider):
https://github.com/kosiara/stx-insider
JavaOne 2016 - Kotlin: The Language of The Future For JVM?Leonardo Zanivan
This document discusses Kotlin as a potential future language for the JVM. It provides an overview of Kotlin's features like concise and safe syntax, tooling support, interoperability with Java, and growing adoption by companies. The document outlines how Kotlin is easy to learn and use, supports multi-target platforms, and allows easy migration from Java. It also covers Kotlin concepts like null safety, extensions functions, and its REPL environment. Some minor limitations are noted but the overall message is that Kotlin is a productive and modern alternative to Java for the JVM.
Kotlin was created by JetBrains to improve developer productivity and enjoyment when building tools like IntelliJ IDEA. Some key features of Kotlin include properties, smart casts, extension functions, and null safety. Kotlin works well for server-side development using frameworks like Kara and Exposed, as well as Android development using Android Extensions and Anko. To succeed with Kotlin, developers should take initiative by starting with tests and utilities in existing Java projects rather than waiting for new projects.
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.
TMPA-2015: Kotlin: From Null Dereference to Smart CastsIosif Itkin
This document discusses Kotlin, a statically typed programming language that targets the JVM and JavaScript. It was developed by JetBrains since 2011 and is now open-source. Kotlin is null-safe, object-oriented, and compatible with both Java and Scala. It provides features like type inference, higher-order functions, and extension functions while being simpler than Scala.
While the Java platform has gained notoriety in the last 15 years as a robust application platform with a thriving ecosystem and well-established practices, the Java language has had its share of criticism. Highly verbose, overly didactic, limited feature set; whichever flavor of criticism you prefer, it's patently obvious that Java is playing catch up to more modern languages with a less rigid evolution path.
The language landscape today is vastly different than it had been five or ten years ago; a wide array of languages are available, designed to suit a variety of flavors: Groovy, Clojure, Scala, Gosu, Kotlin... which should you choose? This lecture focuses on one company's decision to focus on Scala, and presents a case study based on our experiences using Scala in practice, in the hope of providing much-needed real world context to assist your decision.
This presentation was used for the Scala In Practice lecture at the Botzia Israeli Java User Group meeting, May 3rd 2012.
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 provides an overview of Scala for Java developers. It covers Scala basics like running on the JVM and supporting functional programming. It also summarizes key Scala syntax like type declarations, expressions, loops, functions, classes, traits, objects, and collections. The document compares Java and Scala concepts and provides resources to learn more about Scala.
Introduction to Scala | Big Data Hadoop Spark Tutorial | CloudxLabCloudxLab
Scala is a modern multi-paradigm programming language that integrates features of object-oriented and functional programming. It is statically typed, has a lightweight syntax, and compiles to Java bytecode so it can use Java libraries. Scala source code is compiled to Java bytecode using the Scala compiler and runs on the Java Virtual Machine. Common data structures in Scala include collections like lists, arrays, sets and maps. Scala supports higher-order functions, immutable data, pattern matching and case classes. Build tools like SBT are used to manage Scala projects.
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.
Scala is a modern multi-paradigm programming language that integrates object-oriented and functional programming. It is statically typed, has a lightweight syntax, and compiles to Java bytecode so it can use Java libraries. Scala source code is compiled to Java bytecode using the Scala compiler and executed by the Java Virtual Machine. Common data structures in Scala include classes, objects, functions, and collections like lists, arrays, maps, and tuples. Higher-order functions like map, flatMap, filter, and reduce allow transforming collections in Scala.
Python is a dynamically typed, object-oriented programming language. It uses indentation to delimit blocks rather than curly braces. Key features include strong typing, dynamic typing, support for functions, exceptions, classes, inheritance and modules. Common data types include lists, dictionaries, tuples and strings. Control flow is implemented with conditional statements and loops. Functions can return multiple values using tuples. Object-oriented features include classes and inheritance. Exceptions are handled using try-except blocks. External libraries are imported using the import statement.
Objects in JavaScript can be created using object literals, the new keyword, or Object.create(). Objects are collections of properties and methods that are mutable and manipulated by reference. Arrays are objects that represent ordered collections of values of any type and are created using array literals or the Array constructor. Common array methods include concat, join, pop, push, reverse, and sort. The Math object provides common mathematical functions like pow, round, ceil, floor, random, and trigonometric functions.
Scala is a multi-paradigm programming language designed to express common programming patterns in a concise, elegant, and type-safe way. It is designed to integrate features of object-oriented and functional languages. Some key features of Scala include object-oriented programming, strong static typing, functional programming, pattern matching, actor-based concurrency, and more.
This document provides an overview of functional programming concepts in Scala. It discusses the history and advantages of functional programming. It then covers the basics of Scala including its support for object oriented and functional programming. Key functional programming aspects of Scala like immutable data, higher order functions, and implicit parameters are explained with examples.
This ppt describes basics of scala upto collections covering both object oriented and functional programming concepts of the language.
References:Scala cookbook
Go is a general purpose programming language created by Google. It is statically typed, compiled, garbage collected, and memory safe. Go has good support for concurrency with goroutines and channels. It has a large standard library and integrates well with C. Some key differences compared to other languages are its performance, explicit concurrency model, and lack of classes. Common data types in Go include arrays, slices, maps, structs and interfaces.
Implicit parameters and implicit conversions are Scala language features that allow omitting explicit calls to methods or variables. Implicits enable concise and elegant code through features like dependency injection, context passing, and ad hoc polymorphism. Implicits resolve types at compile-time rather than runtime. While powerful, implicits can cause conflicts and slow compilation if overused. Frameworks like Scala collections, Spark, and Spray JSON extensively use implicits to provide type classes and conversions between Scala and Java types.
Kotlin is a programming language that can be used for Android development. It is interoperable with Java and compiles to JVM bytecode. Some key features of Kotlin discussed in the document include null safety, properties, functions, classes, inheritance, and Android integration. Kotlin code can inherit from and call Java code, and most Android APIs are written in Java so they can be called from Kotlin as well. The document provides examples of Kotlin syntax for variables, control flow, collections, and comparing Kotlin and Java implementations of common patterns like fragments. References are also included for further Kotlin learning resources.
This document provides an introduction to Scala concepts and features compared to Java, including how to set up Scala, the Simple Build Tool (SBT), case classes, lazy definitions, imports, objects, pattern matching, collections, higher-order functions, partial functions, currying, implicit conversions, and implicit parameters. Useful Scala resources are also listed.
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.
Dart is an open-source programming language developed by Google that is used to build web, server, and mobile applications. It is designed to be familiar to developers from languages like JavaScript, Java, and C# but also supports strong typing. Dart aims to help developers build complex, high-fidelity client apps for the modern web. It compiles to JavaScript to run in the browser or to native code to run mobile apps. Dart supports key features like classes, mixins, asynchronous programming, and isolates for concurrency.
Swift Tutorial Part 2. The complete guide for Swift programming languageHossam Ghareeb
Part 2 of The complete guide for Swift programming language. In this part we introduced:
Classes
Inheritance
Computed Properties
Type Level
Lazy
Property Observers
Structures
Equality Vs Identity
Type Casting
Any Vs AnyObject
Protocols
Delegation
Extensions
Generics
Operator Functions
This document provides an overview of JavaScript including:
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- It has various data types, variables, operators, and control structures like conditionals and loops.
- It uses objects and object-oriented programming. Common built-in objects include numbers, strings, arrays, dates and more.
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Big Data Analytics Quick Research Guide by Arthur MorganArthur Morgan
This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
Artificial Intelligence is providing benefits in many areas of work within the heritage sector, from image analysis, to ideas generation, and new research tools. However, it is more critical than ever for people, with analogue intelligence, to ensure the integrity and ethical use of AI. Including real people can improve the use of AI by identifying potential biases, cross-checking results, refining workflows, and providing contextual relevance to AI-driven results.
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Link to recording, transcript, and accompanying resource: https://bnctechforum.ca/sessions/standardsgoals-for-2025-standards-certification-roundup/
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• Containerized Workflows for AI & IoT – Support for Docker, ROS, and real-time Linux enables scalable AI, ML, and IoT applications.
• Strong Ecosystem & Developer Support – Toradex offers comprehensive documentation, developer tools, and dedicated support, accelerating time-to-market.
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Do you have a specific project or application in mind where you're considering SMARC? We can help with Free Compatibility Check and help you with quick time-to-market
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- Monitoring: Use dashboards and embedded analytics for real-time insights into process instances.
This webinar is a must-attend for developers looking to enhance their agentic automation skills and orchestrate robust, mission-critical processes.
👨🏫 Speaker:
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2. Why Scala
● Java did wonderful things with its motto of "write
once and run everywhere" but thats half the story
● Abundance of boilerplate in java
● Java provided lower level of abstraction but its very
difficult to write multithreaded applications in java
which runs as expected
● Multi core processors has opened an entire new
dimension in programming world
● Thread safety, Visibility of data(Concurrency)
● Java as a language hasn't evolved much since its
inception but JVM has evolved up to the extent that
its performance has surpassed with native written
code
3. What is Scala
● Scala is port of many years of academic
research on JVM
● SCAlable LAnguage
● Statically typed
○ A variable is bound to a particular type for its lifetime
its type can't be changed and it can only reference
type-compatible instances
○ In dynamic typing the type is bound to a value not
the variable so a variable might refer to a value of
type A then be reassigned to a value of unrelated
type X
○ Ruby, Python, Groovy, Javascript and Smalltalk are
dynamically typed
4. What is Scala
●
●
●
●
●
●
Scripting language
Functional language
Object Oriented language
Concise and flexible syntax
Sophisticated type system
Scalable (performance)
6. Installation
● Unix
○ Command line Download, Extract jar file and add its
"bin" directory in classpath
○ Scala IDE Download
● Windows
○ Command line Download, Extract jar file and add its
"bin" directory in path variable
○ Scala IDE Download
● Other methods
○ Download STS or Eclipse and add scala ide as a
plugin
○ Download Intellij-Idea community version and install
scala as a plugin
7. A taste of Scala
●
●
●
●
●
●
●
●
REPL (Read eval print loop)
$ scala
scala>
scala> :help
scala> :imports
scala> println("Hello World")
scala> printf("%d", 1)
scala> 1 + 2
res0: Int = 3
● scala> 1 + "to string will be called"
res1: String = 1to string will be called
● Scala worksheet in eclipse
8. A taste of Scala Continued ...
class Upper {
def upper(strings : String*) : Seq[String] = {
strings.map((s : String) => s.toUpperCase())
}
}
val up = new Upper
println(up.upper("I", "am", "using", "Scala", "as", "scripting", "language"))
run as - scala upper-script.scala
object Upper {
def main(args : Array[String]) = {
args.map((s : String) => s.toUpperCase()).foreach(printf("%s ", _))
println("")
}
}
run as - scalac upper.scala
scala -cp . Upper I am using scala from compiled file
9. Type less do more
● No Semicolons
○ Fewer characters to clutter your code
○ Increases code readability by breaking statements in
separate line
● Curly braces are not mandatory in all cases
○ class A
○ def add(a : Int, b : Int) = a + b
● 'return' keyword is optional
● Method without parentheses and dots
○
○
○
○
"hello".length() vs "hello".length vs "hello" length
1. +(2) vs 1 + 2
def isEven(n : Int) = n % 2 == 0
List(1,2,3,4) filter isEven foreach println
● if statements are expressions in scala so there
is no special ternary conditional expression
10. Variable declaration
● val
○ immutable (read only)
○ scala> val array : Array[String] = new Array(5)
scala> array(0) = "Hello"
scala> array
○ scala> val list : List[Int] = List(1,2,3)
scala> 23 :: list
scala> list
● var
○ mutable
○ can assign a new value as often as you want
● Both val and var must be initialized when declared
●
except in abstract types and constructor arguments
Scala encourages you to use immutable variables
whenever possible
11. Literals
● Integer literals
○ Byte, Char, Short, Int, Long
○ 'l' or 'L' is required for Long
● Floating-Point literals
○ Float, Double
○ 'f' or 'F' is required for Float
○ 'd' or 'D' is optional for Double
● Boolean (true, false)
● Character literals
○ Printable unicode character or an escape sequence
written between single quotes. Try 'u0041'
● String literals
○ Sequence of characters enclosed in double quotes or
triples of double quotes. Try "Tabtis escaped", """Tabtis
not escaped in triples of double quotes"""
12. Literals Continued ...
● Symbol literals
○ symbols are single quote followed by a letter
followed by zero or more digits or letters
○ these are interned strings meaning two symbols with
same name will actually refer to same objects.
○ Try 'id, '1
○ Not used much in scala but popular in other
languages like Ruby, Smalltalk and Lisp
● Tuples
○ To return multiple values in java either pass it in
method parameters or return a object or a class
which contains these values
○ scala has built in support for tuples of members from
1 to 22
13. Literals Continued ...
● Function literals
○ Function literal is an alternate syntax to define a
function
○ val add = (a : Int, b : Int) => a + b
○ val test = () => System.getProperty("user.dir")
○ Useful for passing as argument in higher order
functions
● Other literals
○ List
■ val v1 = Nil
■ val fruit = List("orange", "mango")
○ Map
■ val stateCapital = Map("UP" -> "Lucknow",
"Bihar" -> "Patna")
■ val districtCount = Map(("UP", 84), ("Bihar", 40))
14. Identifirs
● Scala allows all printable ASCII characters
except parenthetical characters ( ) [ ] { } and
delimeter characters ` ' " . , ;
● It also allows operator characters such as + - %
/ < > etc
● Reserved words can't be used
● Underscore is important it tells the compiler to
treat all characters up to next whitespace as
part of identifier
● After underscore you can have either letters and
digits or a sequence of operator characters but
you can't mix them with letters and digits
● An identifier can also be arbitrary string
between two back quote characters
15. Classes
class Person(firstName : String, lastName : String, age : Int) {}
● Primary Constructor - defined with class declaration
● Auxiliary Constructor - defined as a method this(.....)
● Constructor arguments can have access modifier such as
●
●
private, protected etc.
Arguments in primary constructor becomes instance
variables with setters and getters automatically generated
depending upon variable scope, like val, var private,
protected.
Methods, instance variables can be overridden in subclass
using override keyword Example: 'override def toString = "" '
16. Classes continued ...
Subclass must extend one of the constructor of superclass
class Person(name : String, val age : Int) {
def this() = this("No name", 25)
def incrementAge(value : Int) = age += value
}
// Extending primary constructor
class SmartPerson(name : String, override val age : Int) extends
Person(name, age)
*** override keyword is must with vals
// Extending Auxiliary constructor
class UnknownPerson extends Person {
override def incrementAge(value : Int) = {
if(value > 0) super.incrementAge(value) else throw new
Error("Value can't be < 0)
17. Method declaration
● Starts with a def keyword followed by
optional argument list, a colon character and
the return type of the method, an equal sign
and finally the method body
● Method arguments can have default value
● Method parameter order can be changed by
caller
● Method definition can also be nested
18. Abstract Class
● Starts with abstract keyword, It can have both primary and auxiliary
constructors
● If a method doesn't have a body then it automatically becomes
abstract same for instance variables
● Abstract method must only be declared in abstract class or traits
but not in concrete class
● Abstract class may not contain any abstract method or field but its
subclass must override all abstract members except if it another
abstract class or trait
abstract class Vehicle(val model : String) {
val engineNumber : String
var fuel : Double
def addFuel(amount : Double) }
class Car(override val model : String) extends Vehicle(model) {
val engineNumber = "dfdf"
var fuel = 0
def addFuel(amount : Double) ... }
19. equals and hashcode
● java 'equals' equivalent in scala is 'eq'
● See Scala Source Code
● Scala provides 3 methods for checking equality of
objects/references
● eq -> final method in AnyRef, checks equal reference
● equals -> calls eq in AnyRef, must override it if you want to
check object equality instead of reference equality, structure
def equals(that : Any) "that must be Any"
● == -> final method which calls equals with null checked
● ne -> anti of eq
● must override hashcode whenever overriding equals
● Example in Person class
20. Companion Object
● A way to create singleton object, and separate class level
stuffs with object level stuff
● starts with 'object' keyword in place of 'class' in class
declaration except that it has only default constructor
● It must be defined in same file with same name as actual
class for which it is a companion object
● apply, unapply methods
class Rational(x: Int, y: Int) { ... }
object Rational {
def apply(x : Int, y : Int) = new Rational(x, y)
def unapply(rational : Rational) = if(rational == null) None else
Some(rational.numer, rational.denom)
● Now we can define
val rational = Rational(23, 45)
val Rational(x : Int, y : Int) = Rational(4, 5)
21. Use of None instead of null
● Scala discourages the use of null to avoid
NullPointerException or unnecessary null check
● It provides two implementations of Option[+A] sealed
abstract class
● None -> container has no value
● Some -> container has some value
● If a method can return null then it must be returned as Option
[A]
● Always try to use getORElse rather than get
Example:
scala> var x : Option[String] = None
scala> x.get
scala> x.getOrElse("No Value")
scala> x = Some("has some value")
scala> x.getOrElse("No Value")
scala> x = Option(null)
scala> x = Option("Something")
23. Traits
● Same as java interfaces with ability to have
implementation of methods and variable
declaration
● It solves boilerplate code generated with using
java interface
● It also gives ability to compose behaviour on
demand
trait Culture
trait SouthIndianCulture extends Culture
trait BihariCulture extends Culture
trait ModernCulture extends Culture
class Person extends Culture
val mukesh = new Person with BihariCulture with ModernCulture
val modernPerson = new Person with ModernCulture
val idiot = new Person
24. Traits Contd ...
● Traits can't have primary or auxiliary constructors
● A class can mixin multiple traits using "with" keyword except first
trait starts with "extends"
● It has a well defined algorithm for the order in which it is called
when a class is mixed in with multiple traits
● It provides late binding "super call from a trait depends upon the
order in which it is mixing in"
trait A
trait B extends A
trait C extends B
class D extends A with B with C
*Start with Class and then from right to left write its name expand if needed
D
- The class
DCBA
- Expande C
D C B A B A - Expand B
D C B A B A A - Expand A
Now starting from right keep first one and remove any other repetition of that type
D C B A ScalaObject AnyRef Any - This will be final call order
25. Traits Contd ...
● Traits can extend a class, abstract class which has no
parameter primary or auxiliary constructor
● self type - mechanism to refer to "this"
trait T1
trait T2 {
self =>
}
trait T3 {
self : T1 =>
}
// fine
class C extends T2
// Compilation error, it must extend T1 because it was force in //
definition of T3
class C1 extends T3
26. Types
● Type is a set of information the compiler knows which is
used to infer whether a statement will succeed or fail
● In Scala A type can be one of object, class, trait or
defined with type keyword
● class and trait types are accessible directly but object
types are accessed with objectname.type
● Structural type defines what method/variable signature
you might expect on a particular type. It should be
avoided as it uses reflection
Example
object O
type abstractType
type concreteType = String
type concreteType = C with T
type objectType = O.type
27. Structural Types
// A type closeable must have close method
type Closeable = {def close : Unit}
// Define a method with parameter closeable
def testClose(closeable : Closeable) = closeable.close
// We can call this method on any class or trait which has
// close method in its scope, above method is applicable for all three
class C {
def close = println("closing in C")
}
trait T {
def close = println("closing in T")
}
class C1 extends T