V8 is the JavaScript engine used in Google Chrome and Node.js. It aims to make large JavaScript programs run faster through techniques like JIT compiling, hidden classes, inline caching, and precise garbage collection. Hidden classes optimize property access by generating custom classes for objects with similar properties, similar to static typing. Inline caching caches property lookups to avoid hidden class traversal. Precise garbage collection handles memory management. Overall, V8 uses modern techniques to address problems like JavaScript's dynamic nature and improve performance of JavaScript programs.
Rainer Grimm, “Functional Programming in C++11”Platonov Sergey
C++ это мультипарадигменный язык, поэтому программист сам может выбирать и совмещать структурный, объектно-ориентированный, обобщенный и функциональный подходы. Функциональный аспект C++ особенно расширился стандартом C++11: лямбда-функции, variadic templates, std::function, std::bind. (язык доклада: английский).
Bartosz Milewski, “Re-discovering Monads in C++”Platonov Sergey
Once you know what a monad is, you start seeing them everywhere. The std::future library of C++11 was an example of an incomplete design, which stopped short of recognizing the monadic nature of futures. This is now being remedied in C++17, and there are new library additions, like std::expected and the range library, that are much more monad-conscious. I’ll explain what a monad is using copious C++ examples.
The document discusses virtual machines and JavaScript engines. It provides a brief history of virtual machines from the 1970s to today. It then explains how virtual machines work, including the key components of a parser, intermediate representation, interpreter, garbage collection, and optimization techniques. It discusses different approaches to interpretation like switch statements, direct threading, and inline threading. It also covers compiler optimizations and just-in-time compilation that further improve performance.
From Lisp to Clojure/Incanter and RAn Introductionelliando dias
This document provides a comparison between the statistical computing languages R and Clojure/Incanter. It discusses the histories and philosophies behind Lisp, Fortran, R and Clojure. Key differences noted are that Clojure runs on the Java Virtual Machine, allowing it to leverage Java libraries, while R is primarily written in C and Fortran. Incanter is presented as a Clojure-based platform for statistical computing and graphics that is more immature than R but allows easier access to Java capabilities. Basic syntax comparisons are provided.
The document discusses programming with futures in Java and Scala. It introduces futures in Java 8 using CompletableFuture and shows how they allow composing asynchronous operations without blocking threads. It then discusses how streams and futures in Java 8 share similar composition concepts using thenApply and thenCompose. The talk moves on to introduce more abstract concepts from category theory - monads, foldables and monoids. It shows how these concepts can be implemented for futures and lists to provide generic sequencing and folding of asynchronous and synchronous operations in a precise way.
The document discusses how abstraction is central to programming and how Clojure is a good language for creating abstractions, noting that Clojure provides primitive expressions, means of combination through functions, and means of abstraction through functions, records, multimethods and protocols to build complex programs from simple ideas.
This document provides an overview of coding in style with Scala. It discusses embracing expressions over statements, operator notation, using language features to simplify code, favoring higher-order functions, manipulating data with collections, working with asynchronous code and futures, macro programming to transform ASTs, and new features coming in Scala 2.11 like potential modularization and performance improvements. The document encourages idiomatic Scala techniques like favoring expressions, embracing operators, letting the language do work, aiming higher with higher-order functions, and embracing new language features.
The Ring programming language version 1.7 book - Part 83 of 196Mahmoud Samir Fayed
The document describes several low-level functions in Ring that provide access to the virtual machine and runtime environment. These include functions to call the garbage collector, get and set pointers, allocate memory, compare pointers, and get lists of functions, classes, packages, memory scopes, call stacks, and loaded files.
Rainer Grimm, “Functional Programming in C++11”Platonov Sergey
C++ это мультипарадигменный язык, поэтому программист сам может выбирать и совмещать структурный, объектно-ориентированный, обобщенный и функциональный подходы. Функциональный аспект C++ особенно расширился стандартом C++11: лямбда-функции, variadic templates, std::function, std::bind. (язык доклада: английский).
Bartosz Milewski, “Re-discovering Monads in C++”Platonov Sergey
Once you know what a monad is, you start seeing them everywhere. The std::future library of C++11 was an example of an incomplete design, which stopped short of recognizing the monadic nature of futures. This is now being remedied in C++17, and there are new library additions, like std::expected and the range library, that are much more monad-conscious. I’ll explain what a monad is using copious C++ examples.
The document discusses virtual machines and JavaScript engines. It provides a brief history of virtual machines from the 1970s to today. It then explains how virtual machines work, including the key components of a parser, intermediate representation, interpreter, garbage collection, and optimization techniques. It discusses different approaches to interpretation like switch statements, direct threading, and inline threading. It also covers compiler optimizations and just-in-time compilation that further improve performance.
From Lisp to Clojure/Incanter and RAn Introductionelliando dias
This document provides a comparison between the statistical computing languages R and Clojure/Incanter. It discusses the histories and philosophies behind Lisp, Fortran, R and Clojure. Key differences noted are that Clojure runs on the Java Virtual Machine, allowing it to leverage Java libraries, while R is primarily written in C and Fortran. Incanter is presented as a Clojure-based platform for statistical computing and graphics that is more immature than R but allows easier access to Java capabilities. Basic syntax comparisons are provided.
The document discusses programming with futures in Java and Scala. It introduces futures in Java 8 using CompletableFuture and shows how they allow composing asynchronous operations without blocking threads. It then discusses how streams and futures in Java 8 share similar composition concepts using thenApply and thenCompose. The talk moves on to introduce more abstract concepts from category theory - monads, foldables and monoids. It shows how these concepts can be implemented for futures and lists to provide generic sequencing and folding of asynchronous and synchronous operations in a precise way.
The document discusses how abstraction is central to programming and how Clojure is a good language for creating abstractions, noting that Clojure provides primitive expressions, means of combination through functions, and means of abstraction through functions, records, multimethods and protocols to build complex programs from simple ideas.
This document provides an overview of coding in style with Scala. It discusses embracing expressions over statements, operator notation, using language features to simplify code, favoring higher-order functions, manipulating data with collections, working with asynchronous code and futures, macro programming to transform ASTs, and new features coming in Scala 2.11 like potential modularization and performance improvements. The document encourages idiomatic Scala techniques like favoring expressions, embracing operators, letting the language do work, aiming higher with higher-order functions, and embracing new language features.
The Ring programming language version 1.7 book - Part 83 of 196Mahmoud Samir Fayed
The document describes several low-level functions in Ring that provide access to the virtual machine and runtime environment. These include functions to call the garbage collector, get and set pointers, allocate memory, compare pointers, and get lists of functions, classes, packages, memory scopes, call stacks, and loaded files.
The document discusses stacks and queues. It describes stacks as last-in first-out (LIFO) data structures that support push, pop, peek and isEmpty operations. It provides examples of implementing stacks using arrays and linked lists. It also briefly introduces queues as first-in first-out (FIFO) data structures.
This document summarizes advanced JavaScript concepts including:
- Object-oriented inheritance patterns in JavaScript and trends toward avoiding new and emulating private members. Pseudo-classical inheritance is recommended for better performance.
- Exploiting JavaScript's support for functional programming with higher-order functions to allow functions as arguments and return values for more flexible programming.
- Common issues with asynchronous code in JavaScript and how promises can help address callbacks and synchronization.
- Common pitfalls to avoid with arrays, numbers, and typeof in JavaScript.
This document discusses recursion in Haskell. It notes that unlike imperative languages, computations in Haskell are done by declaring what something is rather than how to get it. It then provides examples of translating imperative functions like factorial and finding the maximum value in a list to recursive functions in Haskell. It also discusses features like lambda functions, folding, scanning, and the differences between foldl and foldr. Throughout it emphasizes defining functions recursively based on simple base cases and recursive calls.
Александр Гранин, Функциональная 'Жизнь': параллельные клеточные автоматы и к...Sergey Platonov
This document discusses using functional programming concepts like comonads to design and implement cellular automata in C++. It describes a 1D, 3-state cellular automaton as a proof of concept. It then discusses extending the approach to 2D cellular automata by using higher-order functions. Benchmark results show the parallel implementation of Conway's Game of Life outperforms the sequential version.
This document discusses JavaScript Computation Expressions (Jscex), which allows writing asynchronous JavaScript code in a synchronous-looking style using computation expressions. Key points:
- Jscex uses computation expressions to write asynchronous JavaScript code that looks synchronous using constructs like $await.
- Asynchronous functions can be defined and composed together asynchronously and parallel using $await without callbacks or promises.
- This allows asynchronous code to be written in a way that resembles synchronous code for readability while still maintaining asynchrony under the hood.
The Ring programming language version 1.4.1 book - Part 9 of 31Mahmoud Samir Fayed
This document summarizes reflection and meta-programming functions in the Ring programming language. It describes functions to get information about code at runtime like variable names, functions, classes and more. It also describes functions to check and modify objects, like getting/adding attributes, checking if an attribute exists, and more. These meta-programming capabilities allow Ring programs to introspect and modify their own code and objects at runtime.
서버 개발자가 바라 본 Functional Reactive Programming with RxJava - SpringCamp2015NAVER / MusicPlatform
youtube : https://youtu.be/E_Bgv9upahI
비동기 이벤트 기반의 라이브러리로만 생각 했던 RxJava가 지금 이 시대 프로그래머에게 닥쳐 올 커다란 메시지라는 사실을 알게 된 지금. 현장에서 직접 느낀 RxJava의 본질인 Function Reactive Programming(FRP)에 대해 우리가 잘 아는 Java 이야기로 풀어 보고 ReactiveX(RxJava) 개발을 위한 서버 환경에 대한 이해와 SpringFramework, Netty에서의 RxJava를 어떻게 이용 하고 개발 했는지 공유 하고자 합니다.
The Ring programming language version 1.3 book - Part 84 of 88Mahmoud Samir Fayed
1. Ring has 46 keywords including class, def, func, if, else, for, and, or, not.
2. It has over 227 built-in functions like sin(), cos(), len(), str(), int(), loadlib(), and system().
3. Compiler errors include missing parentheses, brackets, or braces, undefined variables or functions, and syntax errors.
4. Runtime errors involve division by zero, out of bounds arrays, type mismatches, and stack overflows.
Intro to Functional Programming Workshop (code4lib)Will Kurt
This document provides an introduction to functional programming concepts like recursion, higher-order functions, and currying using JavaScript and Haskell examples. It begins with an overview of functional programming and then presents exercises involving lists, recursion, and functions like map, filter, and fold that build up skills with these concepts over multiple sections.
The document provides an agenda for a two-day workshop on Clojure. Day one covers Clojure overviews and fundamentals including syntax, functions, flow control, and collections. Day two covers additional topics like testing, concurrency, polymorphism, performance, and tooling. The document also provides background on Clojure being a Lisp designed for functional programming and concurrency on the JVM.
Continuation Passing Style and Macros in Clojure - Jan 2012Leonardo Borges
The document discusses continuation-passing style (CPS) in Clojure, where control is passed explicitly as a continuation argument to each function, and provides examples of implementing the Pythagorean theorem and Fibonacci sequence in CPS; it also explains how macros can be used to avoid deep nesting when accessing nested values and demonstrates a macro for this use case.
This document provides an overview of using Clojure for data science. It discusses why Clojure is suitable for data science due to its functional programming capabilities, performance on the JVM, and rich library ecosystem. It introduces core.matrix, a Clojure library that provides multi-dimensional array programming functionality through Clojure protocols. The document covers core.matrix concepts like array creation and manipulation, element-wise operations, broadcasting, and optional support for mutability. It also discusses core.matrix implementation details like the performance benefits of using Clojure protocols.
The document discusses user-defined functions in C++. It defines functions as modules that help develop and maintain large programs by breaking them into smaller pieces. Functions allow code reusability by defining blocks of code that can be invoked multiple times from different parts of a program. The document provides examples of function definitions, prototypes, calling functions by passing arguments, and defining functions that return values. It also discusses local variables, parameters, and built-in math library functions.
Lecture05 operator overloading-and_exception_handlingHariz Mustafa
The document discusses operator overloading and exception handling in C++. It describes how to overload operators like +, -, *, / by defining special functions for them and the advantages of doing so. It also explains how to handle exceptions using try, throw, and catch blocks to handle runtime errors.
Racing To Win: Using Race Conditions to Build Correct and Concurrent SoftwareFastly
If you've ever worked on parallel or multiprocessor software, you've almost certainly encountered bugs owning to race conditions between concurrently-executing components. While race conditions intuitively seem bad, it turns out there are cases in which we can use them to our advantage! In this talk, we'll discuss a number of ways that race conditions are used in improving throughput and reducing latency in high-performance systems, without sacrificing correctness along the way.
We'll begin this exploration with a discussion of how various mutual exclusion primitives like locks are implemented efficiently in modern hardware using benign race conditions. From there, we'll investigate how one can implement non-blocking algorithms and concurrent data structures in a correct and deterministic manner using freely-available open source libraries.
The document provides an overview and introduction to CoffeeScript, including:
1) CoffeeScript is a language that compiles to JavaScript, exposing the best parts of JavaScript in a simpler way. The code compiles directly to equivalent JavaScript without any runtime interpretation.
2) CoffeeScript uses significant whitespace and indentation rather than curly braces and semicolons. Functions are defined using a parameter list and arrow, and objects can be nested using indentation.
3) The document discusses CoffeeScript installation, usage, and provides examples of CoffeeScript syntax including functions, objects, conditionals, loops, and more. It compares CoffeeScript syntax to JavaScript and explains the compiled output.
The document summarizes new features in C# 6, including improvements to auto-properties like initializers and read-only properties, expression-bodied function members, the 'using static' directive, the null-conditional operator, string interpolation, 'nameof' expressions, collection and index initializers, exception filters, 'await' in catch/finally blocks, and C# Interactive. It provides code examples to demonstrate each new feature and references additional resources for more information.
This document discusses first-class functions and lambda calculus. It begins with an overview of Alonzo Church and the origins of lambda calculus. It then covers first-class functions in JavaScript, functions as objects in Java, and first-class functions in Scala. The document also discusses generic higher-order functions and control abstraction.
Not so long ago Microsoft announced a new language trageting on front-end developers. Everybody's reaction was like: Why?!! Is it just Microsoft darting back to Google?!
So, why a new language? JavaScript has its bad parts. Mostly you can avoid them or workaraund. You can emulate class-based OOP style, modules, scoping and even run-time typing. But that is doomed to be clumsy. That's not in the language design. Google has pointed out these flaws, provided a new language and failed. Will the story of TypeScript be any different?
The document discusses MontageJS bindings and how they can be used to define relationships between object properties. It provides examples of different types of bindings including property bindings, map bindings, and array range bindings. It also previews upcoming changes to how bindings will be defined and array operations will work.
The document discusses stacks and queues. It describes stacks as last-in first-out (LIFO) data structures that support push, pop, peek and isEmpty operations. It provides examples of implementing stacks using arrays and linked lists. It also briefly introduces queues as first-in first-out (FIFO) data structures.
This document summarizes advanced JavaScript concepts including:
- Object-oriented inheritance patterns in JavaScript and trends toward avoiding new and emulating private members. Pseudo-classical inheritance is recommended for better performance.
- Exploiting JavaScript's support for functional programming with higher-order functions to allow functions as arguments and return values for more flexible programming.
- Common issues with asynchronous code in JavaScript and how promises can help address callbacks and synchronization.
- Common pitfalls to avoid with arrays, numbers, and typeof in JavaScript.
This document discusses recursion in Haskell. It notes that unlike imperative languages, computations in Haskell are done by declaring what something is rather than how to get it. It then provides examples of translating imperative functions like factorial and finding the maximum value in a list to recursive functions in Haskell. It also discusses features like lambda functions, folding, scanning, and the differences between foldl and foldr. Throughout it emphasizes defining functions recursively based on simple base cases and recursive calls.
Александр Гранин, Функциональная 'Жизнь': параллельные клеточные автоматы и к...Sergey Platonov
This document discusses using functional programming concepts like comonads to design and implement cellular automata in C++. It describes a 1D, 3-state cellular automaton as a proof of concept. It then discusses extending the approach to 2D cellular automata by using higher-order functions. Benchmark results show the parallel implementation of Conway's Game of Life outperforms the sequential version.
This document discusses JavaScript Computation Expressions (Jscex), which allows writing asynchronous JavaScript code in a synchronous-looking style using computation expressions. Key points:
- Jscex uses computation expressions to write asynchronous JavaScript code that looks synchronous using constructs like $await.
- Asynchronous functions can be defined and composed together asynchronously and parallel using $await without callbacks or promises.
- This allows asynchronous code to be written in a way that resembles synchronous code for readability while still maintaining asynchrony under the hood.
The Ring programming language version 1.4.1 book - Part 9 of 31Mahmoud Samir Fayed
This document summarizes reflection and meta-programming functions in the Ring programming language. It describes functions to get information about code at runtime like variable names, functions, classes and more. It also describes functions to check and modify objects, like getting/adding attributes, checking if an attribute exists, and more. These meta-programming capabilities allow Ring programs to introspect and modify their own code and objects at runtime.
서버 개발자가 바라 본 Functional Reactive Programming with RxJava - SpringCamp2015NAVER / MusicPlatform
youtube : https://youtu.be/E_Bgv9upahI
비동기 이벤트 기반의 라이브러리로만 생각 했던 RxJava가 지금 이 시대 프로그래머에게 닥쳐 올 커다란 메시지라는 사실을 알게 된 지금. 현장에서 직접 느낀 RxJava의 본질인 Function Reactive Programming(FRP)에 대해 우리가 잘 아는 Java 이야기로 풀어 보고 ReactiveX(RxJava) 개발을 위한 서버 환경에 대한 이해와 SpringFramework, Netty에서의 RxJava를 어떻게 이용 하고 개발 했는지 공유 하고자 합니다.
The Ring programming language version 1.3 book - Part 84 of 88Mahmoud Samir Fayed
1. Ring has 46 keywords including class, def, func, if, else, for, and, or, not.
2. It has over 227 built-in functions like sin(), cos(), len(), str(), int(), loadlib(), and system().
3. Compiler errors include missing parentheses, brackets, or braces, undefined variables or functions, and syntax errors.
4. Runtime errors involve division by zero, out of bounds arrays, type mismatches, and stack overflows.
Intro to Functional Programming Workshop (code4lib)Will Kurt
This document provides an introduction to functional programming concepts like recursion, higher-order functions, and currying using JavaScript and Haskell examples. It begins with an overview of functional programming and then presents exercises involving lists, recursion, and functions like map, filter, and fold that build up skills with these concepts over multiple sections.
The document provides an agenda for a two-day workshop on Clojure. Day one covers Clojure overviews and fundamentals including syntax, functions, flow control, and collections. Day two covers additional topics like testing, concurrency, polymorphism, performance, and tooling. The document also provides background on Clojure being a Lisp designed for functional programming and concurrency on the JVM.
Continuation Passing Style and Macros in Clojure - Jan 2012Leonardo Borges
The document discusses continuation-passing style (CPS) in Clojure, where control is passed explicitly as a continuation argument to each function, and provides examples of implementing the Pythagorean theorem and Fibonacci sequence in CPS; it also explains how macros can be used to avoid deep nesting when accessing nested values and demonstrates a macro for this use case.
This document provides an overview of using Clojure for data science. It discusses why Clojure is suitable for data science due to its functional programming capabilities, performance on the JVM, and rich library ecosystem. It introduces core.matrix, a Clojure library that provides multi-dimensional array programming functionality through Clojure protocols. The document covers core.matrix concepts like array creation and manipulation, element-wise operations, broadcasting, and optional support for mutability. It also discusses core.matrix implementation details like the performance benefits of using Clojure protocols.
The document discusses user-defined functions in C++. It defines functions as modules that help develop and maintain large programs by breaking them into smaller pieces. Functions allow code reusability by defining blocks of code that can be invoked multiple times from different parts of a program. The document provides examples of function definitions, prototypes, calling functions by passing arguments, and defining functions that return values. It also discusses local variables, parameters, and built-in math library functions.
Lecture05 operator overloading-and_exception_handlingHariz Mustafa
The document discusses operator overloading and exception handling in C++. It describes how to overload operators like +, -, *, / by defining special functions for them and the advantages of doing so. It also explains how to handle exceptions using try, throw, and catch blocks to handle runtime errors.
Racing To Win: Using Race Conditions to Build Correct and Concurrent SoftwareFastly
If you've ever worked on parallel or multiprocessor software, you've almost certainly encountered bugs owning to race conditions between concurrently-executing components. While race conditions intuitively seem bad, it turns out there are cases in which we can use them to our advantage! In this talk, we'll discuss a number of ways that race conditions are used in improving throughput and reducing latency in high-performance systems, without sacrificing correctness along the way.
We'll begin this exploration with a discussion of how various mutual exclusion primitives like locks are implemented efficiently in modern hardware using benign race conditions. From there, we'll investigate how one can implement non-blocking algorithms and concurrent data structures in a correct and deterministic manner using freely-available open source libraries.
The document provides an overview and introduction to CoffeeScript, including:
1) CoffeeScript is a language that compiles to JavaScript, exposing the best parts of JavaScript in a simpler way. The code compiles directly to equivalent JavaScript without any runtime interpretation.
2) CoffeeScript uses significant whitespace and indentation rather than curly braces and semicolons. Functions are defined using a parameter list and arrow, and objects can be nested using indentation.
3) The document discusses CoffeeScript installation, usage, and provides examples of CoffeeScript syntax including functions, objects, conditionals, loops, and more. It compares CoffeeScript syntax to JavaScript and explains the compiled output.
The document summarizes new features in C# 6, including improvements to auto-properties like initializers and read-only properties, expression-bodied function members, the 'using static' directive, the null-conditional operator, string interpolation, 'nameof' expressions, collection and index initializers, exception filters, 'await' in catch/finally blocks, and C# Interactive. It provides code examples to demonstrate each new feature and references additional resources for more information.
This document discusses first-class functions and lambda calculus. It begins with an overview of Alonzo Church and the origins of lambda calculus. It then covers first-class functions in JavaScript, functions as objects in Java, and first-class functions in Scala. The document also discusses generic higher-order functions and control abstraction.
Not so long ago Microsoft announced a new language trageting on front-end developers. Everybody's reaction was like: Why?!! Is it just Microsoft darting back to Google?!
So, why a new language? JavaScript has its bad parts. Mostly you can avoid them or workaraund. You can emulate class-based OOP style, modules, scoping and even run-time typing. But that is doomed to be clumsy. That's not in the language design. Google has pointed out these flaws, provided a new language and failed. Will the story of TypeScript be any different?
The document discusses MontageJS bindings and how they can be used to define relationships between object properties. It provides examples of different types of bindings including property bindings, map bindings, and array range bindings. It also previews upcoming changes to how bindings will be defined and array operations will work.
Is java8 a true functional programming languageSQLI
This document discusses whether Java 8 can be considered a true functional programming language. It begins with an overview of programming paradigms and compares the imperative and functional paradigms. It then outlines key aspects of functional programming including immutability, recursion, functions as first-class citizens, higher-order functions, and laziness. Code examples in Java demonstrate these concepts. The document concludes that while Java 8 incorporates some functional programming features, it does not fully embrace all aspects of functional programming.
This document discusses whether Java 8 can be considered a true functional programming language. It begins with an overview of programming paradigms and compares the imperative and functional paradigms. It then outlines key aspects of functional programming including immutability, recursion, functions as first-class citizens, higher-order functions, and laziness. Code examples in Java demonstrate these concepts. The document concludes that while Java 8 incorporates some functional programming features, it does not fully embrace all aspects of functional programming.
This document discusses functions in C programming. It covers defining and declaring functions, variable scope, parameter passing, inline functions, recursive functions, function arguments, and function applications. It provides examples of function definitions and calls using integers, strings, and arrays. It explains call by value, call by address, and call by reference parameter passing. It also discusses global, private, and static variables and using the scope resolution operator.
ppt of class and methods in java,recursion in java,nested class,java,command line argument,method overloading,call by value,call by reference,constructor overloading core java ppt
The document discusses various design patterns in JavaScript including creational patterns like constructor, prototype, and singleton patterns. It also covers structural patterns such as decorator, facade, and flyweight patterns as well as behavioral patterns like observer and mediator patterns. Examples are provided for how to implement common patterns like module, revealing module, observer, and decorator patterns in JavaScript code.
Joose is a meta object system for JavaScript that allows developers to write well-structured, expressive, declarative, and maintainable JavaScript applications using classes, interfaces, mixins, modules and other object-oriented programming features. It aims to bring features from languages like Java, C#, Smalltalk, CLOS, Ruby, and Perl 5/6 to JavaScript in a native way. Joose provides a declarative syntax for defining these features and also includes meta features for introspecting and manipulating the defined classes and objects.
Scala for Java Developers provides an overview of Scala for Java developers. It discusses:
- The goals of understanding what Scala is, learning more about it, and installing Scala.
- An introduction to Scala including what it is, its history from 1995 to 2013, and whether it is a good fit for certain uses based on its strengths like functional programming and weaknesses like syntax.
- How to get started with Scala including required and optional software and plugins.
- Key Scala features like objects, classes, traits, pattern matching, and collections.
The document provides an overview of key differences between Python and Scala. Some key points summarized:
1. Python is a dynamically typed, interpreted language while Scala is statically typed and compiles to bytecode. Scala supports both object-oriented and functional programming paradigms.
2. Scala has features like case classes, traits, and pattern matching that Python lacks. Scala also has features like type parameters, implicit conversions, and tail call optimization that Python does not support natively.
3. Common data structures like lists and maps are implemented differently between the languages - Scala uses immutable Lists while Python uses mutable lists. Scala also has features like lazy vals.
4. Control
The document discusses functional programming concepts in Scala including creating immutable objects to represent rational numbers, using pattern matching to add rationals, and defining classes with private fields and auxiliary constructors while avoiding side effects through immutable and functional design. It provides examples of functional programming techniques like creating rational number objects that are immutable and can be freely passed around without risk of mutation, and defining methods as functions that take arguments instead of mutating object state.
The document discusses real-time big data management and Apache Flink. It provides an overview of Apache Flink, including its architecture, components, and APIs for batch and streaming data processing. It also provides examples of word count programs in Java, Scala, and Java 8 that demonstrate how to write Flink programs for batch and streaming data.
This document provides an agenda and overview for a Spark workshop covering Spark basics and streaming. The agenda includes sections on Scala, Spark, Spark SQL, and Spark Streaming. It discusses Scala concepts like vals, vars, defs, classes, objects, and pattern matching. It also covers Spark RDDs, transformations, actions, sources, and the spark-shell. Finally, it briefly introduces Spark concepts like broadcast variables, accumulators, and spark-submit.
This document summarizes Jeffrey Zhao's background and areas of expertise. It includes:
1. Jeffrey Zhao is a software engineer from China who blogs at http://blog.zhaojie.me/. His areas of expertise include JavaScript, F#, Scala, C#, Python, .NET and Mono.
2. The document provides code examples in different programming languages for common algorithms and data structures like sorting and grouping, demonstrating Jeffrey's proficiency in languages like C#, F#, Ruby, Java, and JavaScript.
3. It introduces Jscex, a JavaScript library created by Jeffrey that allows writing asynchronous code in a synchronous style using JavaScript computation expressions. Jscex compiles asynchronous code into
The document discusses abstract syntax tree (AST) transformations in Groovy and Java. It covers several tools and techniques for AST transformations including Lombok, Groovy, CodeNarc, IntelliJ IDEA, Mirah macros, and how they allow generating code, performing static analysis, and rewriting code at compile time through analyzing and modifying the AST. The key topics are how these tools work by compiling code to an AST, analyzing and modifying the AST nodes, and sometimes generating source code from the transformed AST.
The Ring programming language version 1.9 book - Part 94 of 210Mahmoud Samir Fayed
This document discusses using a code generator to wrap C/C++ libraries for use in Ring applications. It describes the key components needed:
1. A configuration file that specifies the C/C++ function prototypes and structures to wrap.
2. The parsec.ring code generator program that takes the configuration file and generates C code wrapping functions.
3. Features of the configuration file like adding code snippets, setting function name prefixes, and specifying structures to wrap.
The code generator significantly reduces the effort to interface Ring with existing C/C++ libraries by automatically generating the wrapper functions and handling data type conversions between the languages.
Writing native bindings to node.js in C++nsm.nikhil
The document provides an overview of how to build a C/C++ link to the V8 JavaScript engine and Node.js in order to use C/C++ libraries and functions in Node.js. It discusses topics like initializing V8, handling handles, injecting primitives, defining functions and objects, adding methods, asynchronous I/O, and linking external libraries. Code examples are provided for basic functions, objects, inheritance using ObjectWrap, and asynchronous functions.
This document discusses design patterns in Scala compared to Java. It covers functional interface, command, builder, iterator, template method, strategy, null object, and decorator patterns. The agenda outlines discussing these patterns in part one covering OO patterns. Each pattern section provides a Java example and how it can be implemented in Scala using functions and other Scala features like case classes.
Scala er et Java-relateret, statisk typet programmeringssprog i hastig fremmarch. Sproget kombinerer aspekter fra objekt- og funktionsorienterede sprog og fokuserer på skalerbarhed og effektivitet, både på det kodemæssige og afviklingsmæssige niveau. Syntaksen er elegant og koncis. Samtidig indeholder sproget stærke konstruktioner til understøttelse af parallelle applikationer, der udnytter fremtidens hardwarearkitekturer.
5. Some JS History
Brendan Eich, the lead designer
Scheme + Self with C syntax
Mocha LiveScript by Netscape (‘95)
6. Some JS History
Brendan Eich, the lead designer
Scheme + Self with C syntax
Mocha LiveScript by Netscape (‘95)
JavaScript by Netscape and Sun (’96)
7. Some JS History
Brendan Eich, the lead designer
Scheme + Self with C syntax
Mocha LiveScript by Netscape (‘95)
JavaScript by Netscape and Sun (’96)
JScript by Microsoft (‘96)
8. Some JS History
Brendan Eich, the lead designer
Scheme + Self with C syntax
Mocha LiveScript by Netscape (‘95)
JavaScript by Netscape and Sun (’96)
JScript by Microsoft (‘96)
ECMAScript by ECMA International (Nov ’96)
9. JavaScript is highly
dynamic!
no-class definitions and prototype-based inheritance
10. function Base(args){ ... }
Base.prototype.myFirstMethod = function(){ ... }
function Super(args){ ... }
Super.prototype = new Base();
Super.prototype.myMethod = function() { ... }
Super.myStaticMethod = function(){ ... }
11. function Base(args){ ... }
Base.prototype.myFirstMethod = function(){ ... } var s = new Super();
function Super(args){ ... } s.myMethod();
Super.prototype = new Base(); s.myFirstMethod();
Super.prototype.myMethod = function() { ... }
s.myStaticMethod();
Super.myStaticMethod = function(){ ... }
12. Super
prototype
new
Base() myMethod = function(){}
myStaticMethod = function(){}
function Base(args){ ... }
Base.prototype.myFirstMethod = function(){ ... } var s = new Super();
function Super(args){ ... } s.myMethod();
Super.prototype = new Base(); s.myFirstMethod();
Super.prototype.myMethod = function() { ... }
s.myStaticMethod();
Super.myStaticMethod = function(){ ... }
13. new
Super Object()
prototype
prototype
new
Base() myMethod = function(){}
myStaticMethod = function(){}
function Base(args){ ... }
Base.prototype.myFirstMethod = function(){ ... } var s = new Super();
function Super(args){ ... } s.myMethod();
Super.prototype = new Base(); s.myFirstMethod();
Super.prototype.myMethod = function() { ... }
s.myStaticMethod();
Super.myStaticMethod = function(){ ... }
14. Problems with JS
• JS is dynamic, objects are hash tables
• Properties may change at runtime
• Prototype chain may change at runtime
• We have eval (changes the context)
15. V8 Design Goals
• Make large object-oriented JS programs
perform well
• Faster property access
• Faster function calls
• Faster and more scalable memory
management
16. V8 History
• Initial design by Lars Bak in 2006
• Released and open sourced in 2008
• Significant appearances: Being shipped
inside Google Chrome and node.js
18. JIT Compiling
• Adopted by other JavaScript engines too!
• No intermediate code.
• Methods are compiled upon access.
• HotSpot-like JIT decisions
19. Hidden classes
In less dynamic languages such as Java,
+ 0x00000020 int x = 6
+ 0x00000060 int y = 1
+ 0x00000080
area() {
return x * y;
}
20. Hidden classes
In less dynamic languages such as Java,
+ 0x00000020 int x = 6
+ 0x00000060 int y = 1
+ 0x00000080
area() {
return x * y;
}
Attribute access costs just a few CPU instructions!