The Ring programming language version 1.10 book - Part 45 of 212Mahmoud Samir Fayed
The document provides documentation on various functions available in the Ring programming language. It describes functions for string manipulation like TrimLeft(), TrimRight(), functions for file and directory operations like ListAllFiles(), OSCopyFile(), OSDeleteFolder(), functions for executing system commands like SystemCmd(), SystemSilent(), and functions for date/time, math, lists, and more. Syntax and examples are provided for many of the functions.
The document summarizes various functions in the Kotlin standard library including let, with, apply, run, also, takeIf, takeUnless, use, and repeat. It provides code examples to demonstrate how each function works and what it is commonly used for. let, with, apply, and also allow passing a receiver object to a lambda and accessing it as "it". takeIf and takeUnless return the receiver if a predicate is true or false, respectively. use automatically closes resources. repeat runs an action a specified number of times.
The document provides examples of Kotlin classes and properties compared to Java classes. Some key points summarized:
1. Kotlin classes can define properties directly rather than private fields with getters/setters like in Java. Properties are accessed directly rather than through getter methods.
2. Data classes provide equals(), hashCode(), toString() by default and allow destructuring declarations. Regular classes do not have these features by default.
3. Default values can be defined for properties in Kotlin classes, unlike Java where default values require a builder pattern.
The document discusses Kotlin collections and aggregate operations on collections. It explains that Kotlin collections can be mutable or immutable, and by default collections are immutable unless specified as mutable. It then covers various aggregate operations that can be performed on collections like any, all, count, fold, foldRight, forEach, max, min, none etc and provides code examples for each operation.
Столпы функционального программирования для адептов ООП, Николай МозговойSigma Software
This document provides an overview of functional programming concepts for object-oriented programmers. It discusses the fundamentals of FP including immutability, purity, first-class and higher-order functions, closures, and recursion. It provides examples of these concepts in languages like Lisp, F#, C#, and JavaScript. The document also compares OO and FP concepts and discusses derived FP concepts like partial application, lazy evaluation, and pattern matching.
This document introduces John Vlachoyiannis and discusses live programming of music using Clojure. It outlines how Clojure allows music to be treated as data that can be manipulated and transformed in real time. Examples are given showing how to define notes and samples as data, generate patterns, and manipulate those patterns by reversing, randomizing, or applying other transformations to the music structure. Live programming is enabled through use of the REPL and functions like play! that allow musical experiments to be conducted and heard immediately.
The Ring programming language version 1.10 book - Part 45 of 212Mahmoud Samir Fayed
The document provides documentation on various functions available in the Ring programming language. It describes functions for string manipulation like TrimLeft(), TrimRight(), functions for file and directory operations like ListAllFiles(), OSCopyFile(), OSDeleteFolder(), functions for executing system commands like SystemCmd(), SystemSilent(), and functions for date/time, math, lists, and more. Syntax and examples are provided for many of the functions.
The document summarizes various functions in the Kotlin standard library including let, with, apply, run, also, takeIf, takeUnless, use, and repeat. It provides code examples to demonstrate how each function works and what it is commonly used for. let, with, apply, and also allow passing a receiver object to a lambda and accessing it as "it". takeIf and takeUnless return the receiver if a predicate is true or false, respectively. use automatically closes resources. repeat runs an action a specified number of times.
The document provides examples of Kotlin classes and properties compared to Java classes. Some key points summarized:
1. Kotlin classes can define properties directly rather than private fields with getters/setters like in Java. Properties are accessed directly rather than through getter methods.
2. Data classes provide equals(), hashCode(), toString() by default and allow destructuring declarations. Regular classes do not have these features by default.
3. Default values can be defined for properties in Kotlin classes, unlike Java where default values require a builder pattern.
The document discusses Kotlin collections and aggregate operations on collections. It explains that Kotlin collections can be mutable or immutable, and by default collections are immutable unless specified as mutable. It then covers various aggregate operations that can be performed on collections like any, all, count, fold, foldRight, forEach, max, min, none etc and provides code examples for each operation.
Столпы функционального программирования для адептов ООП, Николай МозговойSigma Software
This document provides an overview of functional programming concepts for object-oriented programmers. It discusses the fundamentals of FP including immutability, purity, first-class and higher-order functions, closures, and recursion. It provides examples of these concepts in languages like Lisp, F#, C#, and JavaScript. The document also compares OO and FP concepts and discusses derived FP concepts like partial application, lazy evaluation, and pattern matching.
This document introduces John Vlachoyiannis and discusses live programming of music using Clojure. It outlines how Clojure allows music to be treated as data that can be manipulated and transformed in real time. Examples are given showing how to define notes and samples as data, generate patterns, and manipulate those patterns by reversing, randomizing, or applying other transformations to the music structure. Live programming is enabled through use of the REPL and functions like play! that allow musical experiments to be conducted and heard immediately.
1) The document discusses collection classes in C# and how to implement a class to be used in a foreach loop.
2) A class needs to implement the IEnumerator interface and include methods like GetEnumerator(), MoveNext(), Reset(), and Current.
3) An example class xxx is implemented that iterates through an array, tracking the index with a variable i. It returns strings from the array on each MoveNext() call until i equals the array length.
The Ring programming language version 1.3 book - Part 25 of 88Mahmoud Samir Fayed
This chapter summarizes various functions available in the Ring standard library (stdlib) for input/output, file handling, string manipulation, and mathematical operations. Some of the functions described include puts() and print() for output, getstring() and getnumber() for input, apppath() and justfilepath() for file paths, split() and splitmany() for string splitting, newlist() for multidimensional lists, capitalized() for capitalization, and mathematical functions like factorial(), fibonacci(), gcd(), and isprime() for prime checking. Many examples are provided to demonstrate the usage of these stdlib functions.
The Ring programming language version 1.5.2 book - Part 34 of 181Mahmoud Samir Fayed
This document provides documentation on various functions available in the Ring standard library (stdlib) for tasks like string manipulation, mathematical operations, date/time functions, and more. It describes the syntax and examples of usage for over 40 functions, including endsWith(), gcd(), sumlist(), factors(), binarydigits(), and ListAllFiles(). The functions cover a wide range of common use cases and data types like strings, lists, matrices, files.
Cassandra Summit - What's New In Apache TinkerPop?Stephen Mallette
The document provides an overview of Apache TinkerPop, an open source graph computing framework. It discusses new features in recent versions of TinkerPop, including support for both imperative and declarative querying in Gremlin 3.0. It also demonstrates how to load and query graph data stored in HDFS using TinkerPop and Spark, and how to visualize subgraphs in Gephi.
The Ring programming language version 1.5.4 book - Part 23 of 185Mahmoud Samir Fayed
This document discusses various string and date/time functions in Ring. It describes how to get string lengths, convert case, access characters, trim strings, find/replace substrings. It also covers getting the system time, date, and converting between strings and lists of lines. Functions covered include len(), upper()/lower(), left(), right(), trim(), copy(), lines(), substr(), strcmp(), str2list(), list2str(), time(), date(), and timelist().
The document discusses using Clojure for Hadoop programming. It introduces Clojure as a new Lisp dialect that runs on the Java Virtual Machine. It then covers Clojure's data types and collections. The remainder of the document demonstrates how to write mappers and reducers for Hadoop jobs using Clojure, presenting three different approaches to defining jobs.
The Ring programming language version 1.5.4 book - Part 35 of 185Mahmoud Samir Fayed
The String class in Ring provides methods for manipulating and working with strings. Some key methods include lower(), upper(), left(), right(), trim(), replace(), split(), and tolist() which converts a string with newline separated lines to a list. The class inherits from the StdBase class and allows initializing strings from other data types. Strings support common operations like concatenation, comparison, and indexing.
The Ring programming language version 1.10 book - Part 43 of 212Mahmoud Samir Fayed
The document provides examples of using various functions in Ring's standard library (stdlib) for input/output, string manipulation, lists, and more. Key functions discussed include puts(), print(), print2Str(), getString(), getNumber(), appPath(), justFilePath(), justFileName(), value(), times(), map(), filter(), split(), splitMany(), newList(), and capitalized(). Examples are given to demonstrate how each function works and what it returns. The document serves as a reference for the main functions available in Ring's standard library.
This document provides an introduction to the Go programming language. It discusses why Go was created, its key features like performance, concurrency and productivity. It provides examples of basic Go programs and explains basic language concepts like types, functions, interfaces and methods. The document also discusses the history and creators of the Go language.
The Ring programming language version 1.10 book - Part 31 of 212Mahmoud Samir Fayed
The document provides information about string manipulation in Ring programming language. It describes how to create strings, get string length, convert case, access characters, trim whitespace, compare strings, and convert between strings and lists. Functions covered include len(), upper(), lower(), left(), right(), trim(), copy(), lines(), substr(), strcmp(), str2list(), and list2str(). It also discusses merging binary character values from strings.
Presented by Stephen Murtagh, Etsy.com, Inc.
TF-IDF (term frequency, inverse document frequency) is a standard method of weighting query terms for scoring documents, and is the method that is used by default in Solr/Lucene. Unfortunately, TF-IDF is really only a measure of rarity, not quality or usefulness. This means it would give more weight to a useless, rare term, such as a misspelling, than to a more useful, but more common, term.
In this presentation, we will discuss our experiences replacing Lucene's TF-IDF based scoring function with a more useful one using information gain, a standard machine-learning measure that combines frequency and specificity. Information gain is much more expensive to compute, however, so this requires periodically computing the term weights outside of Solr/Lucene and making the results accessible within Solr/Lucene.
The Ring programming language version 1.5.1 book - Part 33 of 180Mahmoud Samir Fayed
The document describes various functions available in the Ring programming language including:
- list2file() and file2list() to write lists to files and read files into lists.
- startswith(), endswith(), and other string functions like substring() and trim().
- Mathematical functions like gcd(), lcm(), sumlist(), and matrix operations.
- Date/time functions like isleapyear(), dayofweek(), and epochtime().
- File/directory functions to check for existence, get size, list files.
- System functions to execute commands and get results.
The document introduces OCaml×Scope, a new API search engine for OCaml similar to Hoogle for Haskell. It summarizes the limitations of existing OCaml API search tools and describes how OCaml×Scope addresses these by scraping documentation from cmt/cmti files of over 100 OPAM packages. Future work includes improving search results grouping, adding a better web GUI, and integrating remote querying. The tool provides name and type-based searching of OCaml APIs to help programmers.
The document discusses using F# for programming. It provides examples of defining functions, using F# Interactive to test functions, and applying functions to arrays and collections using techniques like map, mapi and the pipe operator. It also discusses using type providers to access structured data from sources like Freebase to incorporate locations of airports into code with Intellisense support.
Some examples and motivation for creating data structures from nothing but functions - Church Encoding! There's particular detail on how it can make free monads more efficient.
The Ring programming language version 1.6 book - Part 37 of 189Mahmoud Samir Fayed
This document describes various functions available in the Ring programming language's standard library (stdlib). It provides documentation on functions for string manipulation, mathematical operations, date/time, file handling, and more. Some key classes covered include the String, List, Math, DateTime, and File classes. Examples are provided for many functions to demonstrate their usage and output.
This document describes ScalaMeter, a performance regression testing framework. It discusses several problems that can occur when benchmarking code performance, including warmup effects from JIT compilation, interference from other processes, garbage collection triggering, and variability from other runtime events. It provides examples demonstrating these issues and discusses solutions like running benchmarks in a separate JVM, ignoring measurements impacted by garbage collection, and performing many repetitions to obtain a stable mean.
This document discusses higher-order functions and currying. It begins by defining higher-order functions as functions that either take other functions as parameters or return functions. It then provides examples of different types of higher-order functions in JavaScript. The bulk of the document focuses on currying, explaining that currying converts a function that takes multiple arguments into a chain of functions that each take a single argument. It provides examples of currying functions in JavaScript using both the new Function() method and closures. Finally, it illustrates how currying can simplify code by pre-binding arguments.
This document discusses sources of finance for businesses, including internal sources like equity shares and preference shares, external sources like bank loans and debentures, and personal sources like savings and credit cards. It outlines the advantages of additional financing as increasing cash reserves and the ability to pay debts and purchase assets, and the disadvantages as paying dividends, interest, and mortgaging assets which can reduce profits and increase liabilities. The document was prepared by Vijay Somase under the guidance of Prof. Mahale for the topic of starting, running, and expanding a business.
1) The document discusses collection classes in C# and how to implement a class to be used in a foreach loop.
2) A class needs to implement the IEnumerator interface and include methods like GetEnumerator(), MoveNext(), Reset(), and Current.
3) An example class xxx is implemented that iterates through an array, tracking the index with a variable i. It returns strings from the array on each MoveNext() call until i equals the array length.
The Ring programming language version 1.3 book - Part 25 of 88Mahmoud Samir Fayed
This chapter summarizes various functions available in the Ring standard library (stdlib) for input/output, file handling, string manipulation, and mathematical operations. Some of the functions described include puts() and print() for output, getstring() and getnumber() for input, apppath() and justfilepath() for file paths, split() and splitmany() for string splitting, newlist() for multidimensional lists, capitalized() for capitalization, and mathematical functions like factorial(), fibonacci(), gcd(), and isprime() for prime checking. Many examples are provided to demonstrate the usage of these stdlib functions.
The Ring programming language version 1.5.2 book - Part 34 of 181Mahmoud Samir Fayed
This document provides documentation on various functions available in the Ring standard library (stdlib) for tasks like string manipulation, mathematical operations, date/time functions, and more. It describes the syntax and examples of usage for over 40 functions, including endsWith(), gcd(), sumlist(), factors(), binarydigits(), and ListAllFiles(). The functions cover a wide range of common use cases and data types like strings, lists, matrices, files.
Cassandra Summit - What's New In Apache TinkerPop?Stephen Mallette
The document provides an overview of Apache TinkerPop, an open source graph computing framework. It discusses new features in recent versions of TinkerPop, including support for both imperative and declarative querying in Gremlin 3.0. It also demonstrates how to load and query graph data stored in HDFS using TinkerPop and Spark, and how to visualize subgraphs in Gephi.
The Ring programming language version 1.5.4 book - Part 23 of 185Mahmoud Samir Fayed
This document discusses various string and date/time functions in Ring. It describes how to get string lengths, convert case, access characters, trim strings, find/replace substrings. It also covers getting the system time, date, and converting between strings and lists of lines. Functions covered include len(), upper()/lower(), left(), right(), trim(), copy(), lines(), substr(), strcmp(), str2list(), list2str(), time(), date(), and timelist().
The document discusses using Clojure for Hadoop programming. It introduces Clojure as a new Lisp dialect that runs on the Java Virtual Machine. It then covers Clojure's data types and collections. The remainder of the document demonstrates how to write mappers and reducers for Hadoop jobs using Clojure, presenting three different approaches to defining jobs.
The Ring programming language version 1.5.4 book - Part 35 of 185Mahmoud Samir Fayed
The String class in Ring provides methods for manipulating and working with strings. Some key methods include lower(), upper(), left(), right(), trim(), replace(), split(), and tolist() which converts a string with newline separated lines to a list. The class inherits from the StdBase class and allows initializing strings from other data types. Strings support common operations like concatenation, comparison, and indexing.
The Ring programming language version 1.10 book - Part 43 of 212Mahmoud Samir Fayed
The document provides examples of using various functions in Ring's standard library (stdlib) for input/output, string manipulation, lists, and more. Key functions discussed include puts(), print(), print2Str(), getString(), getNumber(), appPath(), justFilePath(), justFileName(), value(), times(), map(), filter(), split(), splitMany(), newList(), and capitalized(). Examples are given to demonstrate how each function works and what it returns. The document serves as a reference for the main functions available in Ring's standard library.
This document provides an introduction to the Go programming language. It discusses why Go was created, its key features like performance, concurrency and productivity. It provides examples of basic Go programs and explains basic language concepts like types, functions, interfaces and methods. The document also discusses the history and creators of the Go language.
The Ring programming language version 1.10 book - Part 31 of 212Mahmoud Samir Fayed
The document provides information about string manipulation in Ring programming language. It describes how to create strings, get string length, convert case, access characters, trim whitespace, compare strings, and convert between strings and lists. Functions covered include len(), upper(), lower(), left(), right(), trim(), copy(), lines(), substr(), strcmp(), str2list(), and list2str(). It also discusses merging binary character values from strings.
Presented by Stephen Murtagh, Etsy.com, Inc.
TF-IDF (term frequency, inverse document frequency) is a standard method of weighting query terms for scoring documents, and is the method that is used by default in Solr/Lucene. Unfortunately, TF-IDF is really only a measure of rarity, not quality or usefulness. This means it would give more weight to a useless, rare term, such as a misspelling, than to a more useful, but more common, term.
In this presentation, we will discuss our experiences replacing Lucene's TF-IDF based scoring function with a more useful one using information gain, a standard machine-learning measure that combines frequency and specificity. Information gain is much more expensive to compute, however, so this requires periodically computing the term weights outside of Solr/Lucene and making the results accessible within Solr/Lucene.
The Ring programming language version 1.5.1 book - Part 33 of 180Mahmoud Samir Fayed
The document describes various functions available in the Ring programming language including:
- list2file() and file2list() to write lists to files and read files into lists.
- startswith(), endswith(), and other string functions like substring() and trim().
- Mathematical functions like gcd(), lcm(), sumlist(), and matrix operations.
- Date/time functions like isleapyear(), dayofweek(), and epochtime().
- File/directory functions to check for existence, get size, list files.
- System functions to execute commands and get results.
The document introduces OCaml×Scope, a new API search engine for OCaml similar to Hoogle for Haskell. It summarizes the limitations of existing OCaml API search tools and describes how OCaml×Scope addresses these by scraping documentation from cmt/cmti files of over 100 OPAM packages. Future work includes improving search results grouping, adding a better web GUI, and integrating remote querying. The tool provides name and type-based searching of OCaml APIs to help programmers.
The document discusses using F# for programming. It provides examples of defining functions, using F# Interactive to test functions, and applying functions to arrays and collections using techniques like map, mapi and the pipe operator. It also discusses using type providers to access structured data from sources like Freebase to incorporate locations of airports into code with Intellisense support.
Some examples and motivation for creating data structures from nothing but functions - Church Encoding! There's particular detail on how it can make free monads more efficient.
The Ring programming language version 1.6 book - Part 37 of 189Mahmoud Samir Fayed
This document describes various functions available in the Ring programming language's standard library (stdlib). It provides documentation on functions for string manipulation, mathematical operations, date/time, file handling, and more. Some key classes covered include the String, List, Math, DateTime, and File classes. Examples are provided for many functions to demonstrate their usage and output.
This document describes ScalaMeter, a performance regression testing framework. It discusses several problems that can occur when benchmarking code performance, including warmup effects from JIT compilation, interference from other processes, garbage collection triggering, and variability from other runtime events. It provides examples demonstrating these issues and discusses solutions like running benchmarks in a separate JVM, ignoring measurements impacted by garbage collection, and performing many repetitions to obtain a stable mean.
This document discusses higher-order functions and currying. It begins by defining higher-order functions as functions that either take other functions as parameters or return functions. It then provides examples of different types of higher-order functions in JavaScript. The bulk of the document focuses on currying, explaining that currying converts a function that takes multiple arguments into a chain of functions that each take a single argument. It provides examples of currying functions in JavaScript using both the new Function() method and closures. Finally, it illustrates how currying can simplify code by pre-binding arguments.
This document discusses sources of finance for businesses, including internal sources like equity shares and preference shares, external sources like bank loans and debentures, and personal sources like savings and credit cards. It outlines the advantages of additional financing as increasing cash reserves and the ability to pay debts and purchase assets, and the disadvantages as paying dividends, interest, and mortgaging assets which can reduce profits and increase liabilities. The document was prepared by Vijay Somase under the guidance of Prof. Mahale for the topic of starting, running, and expanding a business.
This document summarizes a talk given by "Jim" on becoming more productive as an Android developer at HotelQuickly. The talk discusses how IDE tools can save time through refactoring and code assistance, how custom components allow for greater control and solving specific problems, and how code review and CI integration help prevent bugs and ensure code quality. The document provides examples of tools and processes used at HotelQuickly to improve productivity for Android development.
The document discusses changes made to several elements of a thriller film production based on feedback. The video quality was improved by re-shooting with an HD camera for clearer viewing. The opening titles were re-created in a simpler, older style to better fit the thriller genre. The production logo was recreated with a transparent background and common font for easier editing. The title of the film was changed to 'Restricted' to better represent the narrative of restricted shots. The title font was also changed to one that looked older and more representative of the thriller genre.
The document provides information about the Family Planning Benefit Program (FPBP), a New York State health insurance program that provides confidential sexual and reproductive health services to those who meet eligibility requirements. It summarizes the benefits covered by FPBP, eligibility criteria, how to apply, participating providers and locations. It also briefly discusses other public and private health insurance options for those who do not qualify for FPBP or Medicaid, including Child Health Plus and Family Health Plus. The document aims to inform readers about different medical insurance options available in New York State.
This document describes an intensive four-hour webinar training program called "Building Business - Marketing Candidates" designed to help recruitment professionals transition to becoming account managers and improve their sales skills. The training program covered topics like building a niche, marketing strategies, and techniques for sharing information with clients and prospects. Past participants reported significant success after taking the course, including generating $25k in fees from a new client and $300k in new business from another. The training includes follow-up coaching and provides materials like workbooks, scripts, and forms to support applying the lessons.
Nikhil Bagde has a Master's degree in Computer Science from Binghamton University and a Bachelor's degree in Computer Engineering from Pune University in India. He has over 2 years of experience as a Software Engineer developing web applications using Java, J2EE, MySQL, JQuery and CSS. His technical skills include programming languages like Java, C/C++, Python, and technologies like Struts, Hibernate, Spring, MySQL, Oracle, Linux and IDEs like Eclipse and IntelliJ. He has worked on projects involving recommender systems, decision trees, natural language processing and multi-threaded applications. Nikhil also has leadership experience organizing technical events and doing community service.
This document discusses monads and continuations in functional programming. It provides examples of using monads like Option and List to handle failure in sequences of operations. It also discusses delimited continuations as a low-level control flow primitive that can implement exceptions, concurrency, and suspensions. The document proposes using monads to pass implicit state through programs by wrapping computations in a state transformer (ST) monad.
Kotlin Advanced - Apalon Kotlin Sprint Part 3Kirill Rozov
The document discusses several Kotlin advanced topics including delegated properties, lazy properties, objects, higher-order functions, lambdas, inline functions, and standard library functions like apply, also, let. It explains concepts like lazy initialization with lazy properties, property delegation, object expressions and declarations, functional programming with higher-order functions and lambdas, and inline functions for performance. It also covers utility functions in the standard library for working with objects and collections.
Scala - where objects and functions meetMario Fusco
The document provides an overview of a two-day training course on Scala that covers topics like object orientation, functional programming, pattern matching, generics, traits, case classes, tuples, collections, concurrency, options and monads. The course aims to show how Scala combines object-oriented and functional programming approaches and provides examples of commonly used Scala features like classes, traits, pattern matching, generics and collections.
Functional Reactive Programming without Black Magic (UIKonf 2015)Jens Ravens
While there are a lot of talks how ReactiveCocoa is kind of a silver bullet that solves almost every problem you throw at it, most people still think of it as a magic black box. This talk is about the basic concepts how write your own ReactiveCocoa in Swift. It also features an in-depth look into Results, Promises and Signals. And I promise not to use the scary M-word.
See by example how to implement a small app featuring networking, json parsing and table views using signals. Without black magic and by using great new language features like pattern matching, generics and the nice new closure syntax.
All content of this talk is from the perspective of an object oriented developer, therefore no prerequisites are necessary. In the end you will be able to judge yourself if you want to go reactive by using ReactiveCocoa, your own framework or no reactivity at all.
The document introduces Scala and provides an overview of Scala basics including variables, functions, objects, classes, traits, pattern matching, for-comprehensions and more. It also discusses Scala's capabilities for generic programming, lazy evaluation, and integration with Java. Examples are provided throughout to demonstrate Scala concepts.
The Ring programming language version 1.3 book - Part 26 of 88Mahmoud Samir Fayed
The List Class provides methods for manipulating list data in Ring. Key methods include Add() to add an item, Delete() to remove an item by index, Item() to access an item by index, FindInColumn() to search for an item in a list column, and Sort() to return a new sorted list. Lists can be concatenated using the + operator and initialized from arrays or other lists.
Scala presentation by Aleksandar ProkopecLoïc Descotte
This document provides an introduction to the Scala programming language. It discusses how Scala runs on the Java Virtual Machine, supports both object-oriented and functional programming paradigms, and provides features like pattern matching, immutable data structures, lazy evaluation, and parallel collections. Scala aims to be concise, expressive, and extensible.
The document contains code examples demonstrating various Scala programming concepts such as functions, pattern matching, traits, actors and more. It also includes links to online resources for learning Scala.
This document provides an introduction to the Scala programming language. It discusses that Scala is a hybrid language that is both object-oriented and functional, runs on the JVM, and provides seamless interoperability with Java. It highlights features of Scala such as pattern matching, traits, case classes, immutable data structures, lazy evaluation, and actors for concurrency.
pragmaticrealworldscalajfokus2009-1233251076441384-2.pdfHiroshi Ono
The document discusses Scala and functional programming concepts. It provides examples of building a chat application in 30 lines of code using Lift, defining messages as case classes, and implementing a chat server and comet component. It then summarizes that Scala is a pragmatically-oriented, statically typed language that runs on the JVM and provides a unique blend of object-oriented and functional programming. Traits allow for code reuse and multiple class inheritances. Functional programming concepts like immutable data structures, higher-order functions, and for-comprehensions are discussed.
pragmaticrealworldscalajfokus2009-1233251076441384-2.pdfHiroshi Ono
The document discusses Scala and functional programming concepts. It provides examples of building a chat application in 30 lines of code using Lift, defining case classes and actors for messages. It summarizes that Scala is a pragmatically oriented, statically typed language that runs on the JVM and has a unique blend of object-oriented and functional programming. Functional programming concepts like immutable data structures, functions as first-class values, and for-comprehensions are demonstrated with examples in Scala.
pragmaticrealworldscalajfokus2009-1233251076441384-2.pdfHiroshi Ono
This document discusses Scala and its features. It provides an example of building a chat application in 30 lines of code using Lift framework. It also demonstrates pattern matching, functional data structures like lists and tuples, for comprehensions, and common Scala tools and frameworks. The document promotes Scala as a pragmatic and scalable language that blends object-oriented and functional programming. It encourages learning more about Scala.
pragmaticrealworldscalajfokus2009-1233251076441384-2.pdfHiroshi Ono
The document discusses Scala and functional programming concepts. It provides examples of building a chat application in 30 lines of code using Lift, defining messages as case classes, and implementing a chat server and comet component. It then summarizes that Scala is a pragmatically-oriented, statically typed language that runs on the JVM and provides a unique blend of object-oriented and functional programming. Traits allow for static and dynamic mixin-based composition. Functional programming concepts like immutable data structures, higher-order functions, and for-comprehensions are discussed.
Some parts of our applications don't need to be asynchronous or interact with the outside world: it's enough that they are stateful, possibly with the ability to handle failure, context, and logging. Although you can use ZIO 2 or monad transformers for this task, both come with drawbacks. In this presentation, Jorge Vásquez will introduce you to ZPure, a data type from ZIO Prelude, which lets you scale back on the power of ZIO 2, but with the same high-performance, type-inference, and ergonomics you expect from ZIO 2 libraries.
The document provides idiomatic Kotlin coding style guidelines and best practices for expressions, classes, functions, and the standard library. Some key recommendations include using 'when' and 'try' as expression bodies, avoiding classes just for functions, extracting non-essential APIs to extensions, using data classes, type aliases, and destructuring declarations, and leveraging functions like 'apply', 'filterIsInstance', and 'groupBy' from the standard library. Overall the document advises organizing code in a concise and functional way that fully utilizes Kotlin language features.
Why we are submitting this talk? Because Go is cool and we would like to hear more about this language ;-). In this talk we would like to tell you about our experience with development of microservices with Go. Go enables devs to create readable, fast and concise code, this - beyond any doubt is important. Apart from this we would like to leverage our test driven habbits to create bulletproof software. We will also explore other aspects important for adoption of a new language.
In this presentation, You will get to know about Function Literal,Higher Order Function,Partial Function,Partial Applied Function,Nested Function,Closures.
3 kotlin vs. java- what kotlin has that java does notSergey Bandysik
This document discusses Kotlin functions and lambda expressions. It explains that lambda expressions can be passed immediately as expressions or defined separately as functions. It also discusses that using higher-order functions can introduce runtime overhead which can be eliminated by inlining lambda expressions. Finally, it provides an example of an inline fun that demonstrates inlining and non-inlining of lambda expressions.
The document discusses functional programming and pattern matching. It provides examples of using pattern matching in functional programming to:
1. Match on algebraic data types like lists to traverse and operate on data in a recursive manner. Pattern matching allows adding new operations easily by adding new patterns.
2. Use pattern matching in variable declarations to destructure data like tuples and case class objects.
3. Perform pattern matching on function parameters to selectively apply different logic based on the patterns, like filtering even numbers from a list. Everything can be treated as values and expressions in functional programming.
Similar to Taming Asynchronous Transforms with Interstellar (20)
Turning it up to 11 - Scaling Ruby on Rails to 100k rpsJens Ravens
We've all heard the "Rails can't scale" myth, but how far can we scale Rails? This is a story about a one year project scaling a REST API for concert ticketing and e-commerce to huge presale events and the lessons learned on the way.
Topics include
HTTP Caching on a Budget
Redis is Your Friend
Waiting Queue Architectures
How not to Blow up Your Database
How to Test Scale
Tips and Tricks for Concurrent Writing
Hooray, open source Swift finally arrived on Linux in December. Let’s see how easy it is to use Swift for your backend and why Swift is a good choice for safe and fast development.
Hooray, open source Swift finally arrived on Linux in December. Let’s see how easy it is to use Swift for your backend and why Swift is a good choice for safe and fast development.
Not sure if you should order a burrito or a monad for lunch? Get a quick overview of Object Oriented, Functional and Protocol Oriented programming and learn what all that fuss is about.
The document discusses different programming paradigms including imperative, object-oriented, functional, protocol-oriented, and functional reactive programming. It provides examples of code using each paradigm and how to recognize them. It notes that the paradigms often mix together and provides some additional resources on concepts like monads, signals, and bridging between paradigms in Swift.
This document summarizes new features in Swift 2 including guard/defer statements for flow control, protocol extensions for default implementations, and error handling improvements like throwing and catching errors. It also mentions Swift becoming open source with its source code released under a permissive license and contributions accepted from the community, including ports for Linux. Nest is provided as an example open source Swift web framework project on GitHub.
This document discusses application architecture using Swift language features. It promotes principles like single responsibility and communication patterns. It also discusses common architectural patterns like MVC and dividing problems into layers. Specific topics covered include using table views, facades for dependencies, defining application layers, and how layers can communicate. The document also contrasts mutable and immutable models and how to handle changes when using immutable structs.
Most important New features of Oracle 23c for DBAs and Developers. You can get more idea from my youtube channel video from https://youtu.be/XvL5WtaC20A
What to do when you have a perfect model for your software but you are constrained by an imperfect business model?
This talk explores the challenges of bringing modelling rigour to the business and strategy levels, and talking to your non-technical counterparts in the process.
Malibou Pitch Deck For Its €3M Seed Roundsjcobrien
French start-up Malibou raised a €3 million Seed Round to develop its payroll and human resources
management platform for VSEs and SMEs. The financing round was led by investors Breega, Y Combinator, and FCVC.
SOCRadar's Aviation Industry Q1 Incident Report is out now!
The aviation industry has always been a prime target for cybercriminals due to its critical infrastructure and high stakes. In the first quarter of 2024, the sector faced an alarming surge in cybersecurity threats, revealing its vulnerabilities and the relentless sophistication of cyber attackers.
SOCRadar’s Aviation Industry, Quarterly Incident Report, provides an in-depth analysis of these threats, detected and examined through our extensive monitoring of hacker forums, Telegram channels, and dark web platforms.
Mobile App Development Company In Noida | Drona InfotechDrona Infotech
Drona Infotech is a premier mobile app development company in Noida, providing cutting-edge solutions for businesses.
Visit Us For : https://www.dronainfotech.com/mobile-application-development/
Microservice Teams - How the cloud changes the way we workSven Peters
A lot of technical challenges and complexity come with building a cloud-native and distributed architecture. The way we develop backend software has fundamentally changed in the last ten years. Managing a microservices architecture demands a lot of us to ensure observability and operational resiliency. But did you also change the way you run your development teams?
Sven will talk about Atlassian’s journey from a monolith to a multi-tenanted architecture and how it affected the way the engineering teams work. You will learn how we shifted to service ownership, moved to more autonomous teams (and its challenges), and established platform and enablement teams.
Unveiling the Advantages of Agile Software Development.pdfbrainerhub1
Learn about Agile Software Development's advantages. Simplify your workflow to spur quicker innovation. Jump right in! We have also discussed the advantages.
25. extension UITextField {
public var textSignal: Signal<String>
}
let textField = UITextField()
textField.textSignal.next { string in print(string) }