Deep dive into where Promises and Observables originate and why the Array.prototype.map function is called map. After understanding what functors and monads are we see the differences between Promises and Observables. Reactive Programming / Functional Programming
Developer Experience i TypeScript. Najbardziej ikoniczne duoThe Software House
Wiktor Toporek: TypeScript bez wątpienia jest obecnie pewnym standardem wśród obecnych rozwiązań powstałych w JavaScripcie. Ale czy poza byciem dodatkiem który uzupełnia odrobinę dokumentacje i deklaruje kontrakt jakiego typu parametry przyjmują i zwracają np. funkcje jakiejś biblioteki, można wycisnąć z niego coś więcej? Podczas prezentacji wykorzystamy TypeScript do granic możliwości, używając zaawansowanych technik które sprawiają że interfejs naszego API będzie sam kierował używających go developerów na drogę poprawnego użycia, które jest zgodne z naszymi (twórców) założeniami, poprawiając tym samym ich doświadczenia.
The document describes exercises on structures and strings in C programming. It defines a structure called _PLAYER to store details of players like name, date of birth, height and weight. It then shows how to define the structure, read and print records of multiple players from an array of _PLAYER structures. Functions are defined to find the tallest player, print names in descending order of height, check character cases, convert case of characters in a string, and compute operations on structures like distance between points.
This document provides an overview of Scala and compares it to Java. It discusses Scala's object-oriented and functional capabilities, how it compiles to JVM bytecode, and benefits like less boilerplate code and support for functional programming. Examples are given of implementing a simple Property class in both Java and Scala to illustrate concepts like case classes, immutable fields, and less lines of code in Scala. The document also touches on Java interoperability, learning Scala gradually, XML processing capabilities, testing frameworks, and tool/library support.
This document discusses metaprogramming in C++ and describes an RPC framework implemented using C++ templates and metaprogramming. It defines an interface called calc_interface for a calculator RPC with functions like add and signals like expr_evaluated. It shows how to define the interface using meta_functions, and how a client can invoke functions on the server while handling serialization, transport, and response deserialization. Key aspects covered include defining the interface, invoking functions from the client, argument checking, and verifying functions exist in the interface.
Wiktor Toporek: Pomimo tego że JavaScript mocno ewoluował na przestrzeni ostatnich lat, zakorzeniona w nim jego asynchroniczna natura wciąż może sprawiać problem programistom i to zarówno początkującym jak i tym zaawansowanym. W prezentacji przyjrzymy się jednemu z bohaterów programowania asynchronicznego jakim jest Promise, przeanalizujemy niektóre z pułapek oraz zastanowimy się również czy w pełni wykorzystujemy jego potencjał.
The document discusses using static types to validate function arguments and return values in JavaScript. It begins by showing an example of a sum function that validates its elements argument is an array of numbers, throwing errors otherwise. It notes benefits like preventing improper usage, but also drawbacks like problems only showing at runtime. The document then recommends employing type systems like TypeScript as a "body guard" to validate at compile time instead of runtime. It provides examples of TypeScript code validating function arguments and return types to catch errors early.
1. The document discusses user-defined and standard functions in C programming. It provides examples of function prototypes, definitions, and calls.
2. Key points covered include function return types, parameters, local variable declarations, and scope. Header files and standard library functions are also mentioned.
3. Examples show how to define, declare, and call functions of different types (void, non-void) with and without parameters in C code.
Learn basics of Clojure/script and ReagentMaty Fedak
This document provides an overview of Clojure/Script and Reagent. It begins by introducing Clojure/Script, noting that Clojure is a LISP-like language that runs on the JVM, while ClojureScript compiles to JavaScript. It then discusses basics like syntax, data structures, functions, and interoperability with JavaScript. The document also covers Reagent, a ClojureScript interface for React, and Re-frame, a library for building SPAs with Reagent. It provides examples of components, rendering to the DOM, and using atoms for local component state.
Developer Experience i TypeScript. Najbardziej ikoniczne duoThe Software House
Wiktor Toporek: TypeScript bez wątpienia jest obecnie pewnym standardem wśród obecnych rozwiązań powstałych w JavaScripcie. Ale czy poza byciem dodatkiem który uzupełnia odrobinę dokumentacje i deklaruje kontrakt jakiego typu parametry przyjmują i zwracają np. funkcje jakiejś biblioteki, można wycisnąć z niego coś więcej? Podczas prezentacji wykorzystamy TypeScript do granic możliwości, używając zaawansowanych technik które sprawiają że interfejs naszego API będzie sam kierował używających go developerów na drogę poprawnego użycia, które jest zgodne z naszymi (twórców) założeniami, poprawiając tym samym ich doświadczenia.
The document describes exercises on structures and strings in C programming. It defines a structure called _PLAYER to store details of players like name, date of birth, height and weight. It then shows how to define the structure, read and print records of multiple players from an array of _PLAYER structures. Functions are defined to find the tallest player, print names in descending order of height, check character cases, convert case of characters in a string, and compute operations on structures like distance between points.
This document provides an overview of Scala and compares it to Java. It discusses Scala's object-oriented and functional capabilities, how it compiles to JVM bytecode, and benefits like less boilerplate code and support for functional programming. Examples are given of implementing a simple Property class in both Java and Scala to illustrate concepts like case classes, immutable fields, and less lines of code in Scala. The document also touches on Java interoperability, learning Scala gradually, XML processing capabilities, testing frameworks, and tool/library support.
This document discusses metaprogramming in C++ and describes an RPC framework implemented using C++ templates and metaprogramming. It defines an interface called calc_interface for a calculator RPC with functions like add and signals like expr_evaluated. It shows how to define the interface using meta_functions, and how a client can invoke functions on the server while handling serialization, transport, and response deserialization. Key aspects covered include defining the interface, invoking functions from the client, argument checking, and verifying functions exist in the interface.
Wiktor Toporek: Pomimo tego że JavaScript mocno ewoluował na przestrzeni ostatnich lat, zakorzeniona w nim jego asynchroniczna natura wciąż może sprawiać problem programistom i to zarówno początkującym jak i tym zaawansowanym. W prezentacji przyjrzymy się jednemu z bohaterów programowania asynchronicznego jakim jest Promise, przeanalizujemy niektóre z pułapek oraz zastanowimy się również czy w pełni wykorzystujemy jego potencjał.
The document discusses using static types to validate function arguments and return values in JavaScript. It begins by showing an example of a sum function that validates its elements argument is an array of numbers, throwing errors otherwise. It notes benefits like preventing improper usage, but also drawbacks like problems only showing at runtime. The document then recommends employing type systems like TypeScript as a "body guard" to validate at compile time instead of runtime. It provides examples of TypeScript code validating function arguments and return types to catch errors early.
1. The document discusses user-defined and standard functions in C programming. It provides examples of function prototypes, definitions, and calls.
2. Key points covered include function return types, parameters, local variable declarations, and scope. Header files and standard library functions are also mentioned.
3. Examples show how to define, declare, and call functions of different types (void, non-void) with and without parameters in C code.
Learn basics of Clojure/script and ReagentMaty Fedak
This document provides an overview of Clojure/Script and Reagent. It begins by introducing Clojure/Script, noting that Clojure is a LISP-like language that runs on the JVM, while ClojureScript compiles to JavaScript. It then discusses basics like syntax, data structures, functions, and interoperability with JavaScript. The document also covers Reagent, a ClojureScript interface for React, and Re-frame, a library for building SPAs with Reagent. It provides examples of components, rendering to the DOM, and using atoms for local component state.
The document provides an overview of learning bottom up JavaScript, including the key things it will cover: the JavaScript language, Document Object Model (DOM), how JS and DOM cooperate, libraries, development tools, and resources. It describes the main aspects of JavaScript like being dynamic, weakly typed, prototype-based, and using first-class functions. It also explains the three main things done with JS: attaching event listeners, getting/modifying data, and updating the page.
Swift 4 introduced KeyPaths, a literal syntax that allows developers to reference a property, in order to evaluate it later. Yet, for some reason, their addition went quite under the radar, and as of today they remain something of a hidden gem within the language.
In this talk, I aim to show you how KeyPaths can be used to implement simple yet useful patterns, like the Builder, but also how they can be the building foundation for more complex pieces of code, like a library to manipulate data in a very declarative SQL-like manner.
The document discusses input and output statements in C++. It explains that the iostream library includes cout and cin for standard output and input. cout uses the insertion operator << to output data to the screen, while cin uses the extraction operator >> to input data from the keyboard. The document provides examples of using cout and cin to output text, numbers, and calculate values from user input.
Pragmatic functional refactoring with java 8 (1)RichardWarburton
You may be hearing a lot of buzz around functional programming. For example, Java 8 recently introduced new features (lambda expressions and method references) and APIs (Streams, Optional and CompletableFutures) inspired from functional ideas such as first-class functions, composition and immutability.
However, what does this mean for my existing codebase?
In this talk we show how you can refactor your traditional object-oriented Java to using FP features and APIs from Java 8 in a beneficial manner.
We will discuss:
* How to adapt to requirement changes using first-class functions
* How you can enhance code reusability using currying
* How you can make your code more robust by favouring immutability over mutability
* How you can design better APIs and reduce unintended null pointer exceptions using an optional data type
The Kotlin Programming Language, Svetlana IsakovaVasil Remeniuk
The document discusses the Kotlin programming language. It describes Kotlin as a modern, statically typed, object-oriented language that compiles to JVM bytecode or JavaScript. Kotlin was developed by JetBrains as an open source language intended for industrial use. The document then covers various features of Kotlin like its handling of null safety using nullable types, extension functions, smart casts for pattern matching, and approach to collection transformations.
The document discusses different selection control structures in C++ including if, if-else, nested if, and switch statements, providing examples of how each works and when they are used to direct program execution based on evaluating conditions. Simple if statements execute code when a condition is true, if-else adds an else block for when it's false, nested if can check multiple conditions, and switch compares a value to multiple possible cases.
The document discusses Qt widgets in depth, covering several topics:
- Widgets and window systems, how widgets interact with underlying windowing systems.
- Flags and attributes, the different types of flags and attributes that can be set on widgets.
- The future of Qt widgets, exploring potential future directions for the widget API and its relationship to the graphics view framework.
From Declarative to Imperative Operation Specifications (ER 2007)Jordi Cabot
The document discusses approaches to translating declarative operation specifications defined using the Object Constraint Language (OCL) into imperative implementations. It proposes using heuristics to disambiguate ambiguous postconditions and determine the intended outcome, and provides patterns for translating common OCL expressions into sequences of UML actions. Open issues include inherently ambiguous expressions and combining translation patterns for complex postconditions.
This document discusses C and C++ selection statements including if, if-else, and if-else-if. It provides examples of code using these conditional statements and corresponding flowcharts. It also includes exercises for the reader to complete code snippets and answer questions about the flow of execution through the conditional logic.
The document provides information about a JavaScript course including:
1. The course consists of 5 lectures and 5 labs and is evaluated based on projects, assignments, labs and quizzes.
2. The lecture outline covers introduction to JavaScript, syntax, built-in objects and functions.
3. JavaScript was invented by Brendan Eich at Netscape and first appeared in the Netscape Navigator browser in 1995.
The document discusses generating headless JavaScript tests for validations. It describes problems with testing JavaScript across many views, models, and validations. It proposes using server-side and client-side validations, widgets, localization, and regular expressions to solve these problems. Tests are generated and executed using RSpec and a standalone JavaScript interpreter to test validations without a browser.
This document discusses using functional programming techniques in Java to improve KPIs like quality, performance, and developer productivity. It outlines issues with imperative Java like shared mutability and verbosity. Functional approaches can reduce bugs, duplicated code, and complexity. Techniques like immutable collections, streams, and lambdas improve performance by reducing memory usage and garbage collection. Functional Java allows writing more concise, testable code while leveraging the existing Java ecosystem.
The document is a specification from ECMA International that defines the ECMAScript language. It describes ECMAScript as an object-oriented scripting language intended to be used in web browsers and web servers to perform computations and manipulate objects within a host environment provided by the browser or server. It outlines the core language types, operators, statements and provides examples of how ECMAScript scripts can interact with objects in the browser environment like windows, forms and events.
Anonymous functions allow functions to be defined and called without a name. JavaScript functions are first-class objects that can be treated like any other object. This allows functions to be defined anonymously and immediately called by wrapping the function definition in parentheses and adding another set of parentheses to call it. For example, (function(){ return "Hello World"; })(); defines and immediately calls an anonymous function without needing to assign it a name.
Improving Correctness with Types Kats ConfIain Hull
A talk I gave at Functional Kats in September 2015
http://workday.github.io/scala/2015/03/17/scala-days-improving-correctness-with-types/
This talk is aimed at Scala developers with a background in object oriented programming who want to learn new ways to use types to improve the correctness of their code. It introduces the topic in a practical fashion, concentrating on the “easy wins” developers can apply to their code today.
http://functionalkats.com/#nav-speakers
You may be hearing a lot of buzz around functional programming. For example, Java 8 recently introduced new features (lambda expressions and method references) and APIs (Streams, Optional and CompletableFutures) inspired from functional ideas such as first-class functions, composition and immutability.
However, what does this mean for my existing codebase?
In this talk we show how you can refactor your traditional object-oriented Java to using FP features and APIs from Java 8 in a beneficial manner.
We will discuss:
- How to adapt to requirement changes using first-class functions
- How you can enhance code reusability using currying
- How you can make your code more robust by favouring immutability over mutability
- How you can design better APIs and reduce unintended null pointer exceptions using an optional data type"
Improving Correctness With Type - Goto Con BerlinIain Hull
A talk I gave at Goto Con Berlin in December 2015
http://workday.github.io/scala/2015/12/03
This talk is aimed at Scala developers with a background in object oriented programming who want to learn new ways to use types to improve the correctness of their code. It introduces the topic in a practical fashion, concentrating on the “easy wins” developers can apply to their code today.
The document discusses improving program correctness through the use of types in Scala. It covers techniques like defensive programming, failing fast, design by contract, and using wrapper types to control values and operations. Specific examples include creating algebraic data types to model application data, using tagged types to enforce constraints, and defining wrapper types for currencies and amounts to prevent bugs. The overall message is that types can help catch errors earlier and design programs in a way that is less error-prone.
Reactive Programming - ReactFoo 2020 - Aziz KhambatiAziz Khambati
This document discusses reactive programming and how it relates to React and RxJS. It begins with an introduction to reactive programming and its focus on data streams and propagating change. It then discusses how React popularized the declarative programming paradigm for building user interfaces. The document also provides an example of using RxJS to build an autocomplete component reactively by composing Observables. It emphasizes that RxJS allows building reactive features in a declarative way using operators on data streams.
The document provides an overview of learning bottom up JavaScript, including the key things it will cover: the JavaScript language, Document Object Model (DOM), how JS and DOM cooperate, libraries, development tools, and resources. It describes the main aspects of JavaScript like being dynamic, weakly typed, prototype-based, and using first-class functions. It also explains the three main things done with JS: attaching event listeners, getting/modifying data, and updating the page.
Swift 4 introduced KeyPaths, a literal syntax that allows developers to reference a property, in order to evaluate it later. Yet, for some reason, their addition went quite under the radar, and as of today they remain something of a hidden gem within the language.
In this talk, I aim to show you how KeyPaths can be used to implement simple yet useful patterns, like the Builder, but also how they can be the building foundation for more complex pieces of code, like a library to manipulate data in a very declarative SQL-like manner.
The document discusses input and output statements in C++. It explains that the iostream library includes cout and cin for standard output and input. cout uses the insertion operator << to output data to the screen, while cin uses the extraction operator >> to input data from the keyboard. The document provides examples of using cout and cin to output text, numbers, and calculate values from user input.
Pragmatic functional refactoring with java 8 (1)RichardWarburton
You may be hearing a lot of buzz around functional programming. For example, Java 8 recently introduced new features (lambda expressions and method references) and APIs (Streams, Optional and CompletableFutures) inspired from functional ideas such as first-class functions, composition and immutability.
However, what does this mean for my existing codebase?
In this talk we show how you can refactor your traditional object-oriented Java to using FP features and APIs from Java 8 in a beneficial manner.
We will discuss:
* How to adapt to requirement changes using first-class functions
* How you can enhance code reusability using currying
* How you can make your code more robust by favouring immutability over mutability
* How you can design better APIs and reduce unintended null pointer exceptions using an optional data type
The Kotlin Programming Language, Svetlana IsakovaVasil Remeniuk
The document discusses the Kotlin programming language. It describes Kotlin as a modern, statically typed, object-oriented language that compiles to JVM bytecode or JavaScript. Kotlin was developed by JetBrains as an open source language intended for industrial use. The document then covers various features of Kotlin like its handling of null safety using nullable types, extension functions, smart casts for pattern matching, and approach to collection transformations.
The document discusses different selection control structures in C++ including if, if-else, nested if, and switch statements, providing examples of how each works and when they are used to direct program execution based on evaluating conditions. Simple if statements execute code when a condition is true, if-else adds an else block for when it's false, nested if can check multiple conditions, and switch compares a value to multiple possible cases.
The document discusses Qt widgets in depth, covering several topics:
- Widgets and window systems, how widgets interact with underlying windowing systems.
- Flags and attributes, the different types of flags and attributes that can be set on widgets.
- The future of Qt widgets, exploring potential future directions for the widget API and its relationship to the graphics view framework.
From Declarative to Imperative Operation Specifications (ER 2007)Jordi Cabot
The document discusses approaches to translating declarative operation specifications defined using the Object Constraint Language (OCL) into imperative implementations. It proposes using heuristics to disambiguate ambiguous postconditions and determine the intended outcome, and provides patterns for translating common OCL expressions into sequences of UML actions. Open issues include inherently ambiguous expressions and combining translation patterns for complex postconditions.
This document discusses C and C++ selection statements including if, if-else, and if-else-if. It provides examples of code using these conditional statements and corresponding flowcharts. It also includes exercises for the reader to complete code snippets and answer questions about the flow of execution through the conditional logic.
The document provides information about a JavaScript course including:
1. The course consists of 5 lectures and 5 labs and is evaluated based on projects, assignments, labs and quizzes.
2. The lecture outline covers introduction to JavaScript, syntax, built-in objects and functions.
3. JavaScript was invented by Brendan Eich at Netscape and first appeared in the Netscape Navigator browser in 1995.
The document discusses generating headless JavaScript tests for validations. It describes problems with testing JavaScript across many views, models, and validations. It proposes using server-side and client-side validations, widgets, localization, and regular expressions to solve these problems. Tests are generated and executed using RSpec and a standalone JavaScript interpreter to test validations without a browser.
This document discusses using functional programming techniques in Java to improve KPIs like quality, performance, and developer productivity. It outlines issues with imperative Java like shared mutability and verbosity. Functional approaches can reduce bugs, duplicated code, and complexity. Techniques like immutable collections, streams, and lambdas improve performance by reducing memory usage and garbage collection. Functional Java allows writing more concise, testable code while leveraging the existing Java ecosystem.
The document is a specification from ECMA International that defines the ECMAScript language. It describes ECMAScript as an object-oriented scripting language intended to be used in web browsers and web servers to perform computations and manipulate objects within a host environment provided by the browser or server. It outlines the core language types, operators, statements and provides examples of how ECMAScript scripts can interact with objects in the browser environment like windows, forms and events.
Anonymous functions allow functions to be defined and called without a name. JavaScript functions are first-class objects that can be treated like any other object. This allows functions to be defined anonymously and immediately called by wrapping the function definition in parentheses and adding another set of parentheses to call it. For example, (function(){ return "Hello World"; })(); defines and immediately calls an anonymous function without needing to assign it a name.
Improving Correctness with Types Kats ConfIain Hull
A talk I gave at Functional Kats in September 2015
http://workday.github.io/scala/2015/03/17/scala-days-improving-correctness-with-types/
This talk is aimed at Scala developers with a background in object oriented programming who want to learn new ways to use types to improve the correctness of their code. It introduces the topic in a practical fashion, concentrating on the “easy wins” developers can apply to their code today.
http://functionalkats.com/#nav-speakers
You may be hearing a lot of buzz around functional programming. For example, Java 8 recently introduced new features (lambda expressions and method references) and APIs (Streams, Optional and CompletableFutures) inspired from functional ideas such as first-class functions, composition and immutability.
However, what does this mean for my existing codebase?
In this talk we show how you can refactor your traditional object-oriented Java to using FP features and APIs from Java 8 in a beneficial manner.
We will discuss:
- How to adapt to requirement changes using first-class functions
- How you can enhance code reusability using currying
- How you can make your code more robust by favouring immutability over mutability
- How you can design better APIs and reduce unintended null pointer exceptions using an optional data type"
Improving Correctness With Type - Goto Con BerlinIain Hull
A talk I gave at Goto Con Berlin in December 2015
http://workday.github.io/scala/2015/12/03
This talk is aimed at Scala developers with a background in object oriented programming who want to learn new ways to use types to improve the correctness of their code. It introduces the topic in a practical fashion, concentrating on the “easy wins” developers can apply to their code today.
The document discusses improving program correctness through the use of types in Scala. It covers techniques like defensive programming, failing fast, design by contract, and using wrapper types to control values and operations. Specific examples include creating algebraic data types to model application data, using tagged types to enforce constraints, and defining wrapper types for currencies and amounts to prevent bugs. The overall message is that types can help catch errors earlier and design programs in a way that is less error-prone.
Reactive Programming - ReactFoo 2020 - Aziz KhambatiAziz Khambati
This document discusses reactive programming and how it relates to React and RxJS. It begins with an introduction to reactive programming and its focus on data streams and propagating change. It then discusses how React popularized the declarative programming paradigm for building user interfaces. The document also provides an example of using RxJS to build an autocomplete component reactively by composing Observables. It emphasizes that RxJS allows building reactive features in a declarative way using operators on data streams.
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 document provides an overview of JavaScript fundamentals, common patterns, and an introduction to Node.js. It discusses JavaScript data types and operators, variable scoping, objects and classes. It also covers jQuery optimization techniques like selector caching and event handling. For Node.js, it demonstrates how to create an HTTP server, manage dependencies with npm, build an Express server, and use middleware.
This document discusses testing JavaScript with the Jasmine testing framework. It provides an overview of why to use JavaScript and Jasmine for testing, how Jasmine integrates well with Rails and supports CoffeeScript. It demonstrates sample tests written in JavaScript and CoffeeScript using Jasmine's matchers and other features. Finally, it provides a link to a GitHub repository with a demo of testing JavaScript with Jasmine.
The Return of JavaScript: 3 Open-Source Projects that are driving JavaScript'...Ben Teese
Web development is experiencing a major change at the moment. Users are demanding increasingly responsive and interactive web applications. The mobile web has taken off. And closed platforms like Flash are yielding to open standards like HTML 5.
In this presentation I’ll argue that the language that will underpin this revolution is JavaScript – despite it’s poor reputation. Furthermore, I’ll explain how JavaScript’s resurrection is being driven by a slew of new open-source technologies.
For video of this presentation, see http://www.youtube.com/watch?v=SiCD3Nbf810
ES7 introduced the exponentiation operator (**) and Array.prototype.includes() method. ES8 introduced async functions which allow asynchronous code to be written in a cleaner way using async and await keywords, shared memory and atomics to improve parallelism and concurrency between workers, and new methods like Object.entries() and Object.values(). Current proposals for ES9 include object destructuring with rest and spread properties, async iteration with for-await loops, and dynamic import() to load modules at runtime.
This document provides an introduction to functional programming in JavaScript. It discusses key functional programming concepts like pure functions, immutable data, and referential transparency. It explains how JavaScript supports functional programming with features like anonymous functions, closures, and higher-order functions. The document also demonstrates functional programming tools like filter, map, reduce, currying, and function composition. It provides examples of how to write pure functions and avoid side effects. Finally, it encourages readers to start applying these concepts like writing pure functions, using currying, and embracing functional composition.
Top questions with answers and code examples for JavaScript
JavaScript interview questions with answers:
What is closure in JavaScript and how does it work?
Answer: Closure is a feature in JavaScript where a function has access to its outer scope even after the outer function has returned. It is created when a function is defined inside another function, and the inner function retains access to the variables in the outer function’s scope. How do you declare a variable in JavaScript?
Answer: Variables in JavaScript can be declared using the “var”, “let” or “const” keywords. The “var” keyword is used to declare a variable with function scope, while “let” and “const” are used to declare variables with block scope.
Functional Programming with JavaScriptMark Shelton
Introductory talk to using Functional Programming in Vanilla JavaScript. Includes 5 practical examples with worked solutions in ES6+, ES5, and with currying. See Github repo for more: https://github.com/fp-uwa/getting-started-javascript
Summary:
Intro to JavaScript
Developments in JavaScript
Array Functions
Currying & Closures
Useful Resources & Next Steps
Functional Programming Meetup at The University of Western Australia.
Speaker: Mark Shelton. Date: 10 November 2017.
Mark Shelton: https://markshelton.me | @marksheltonwa
Managing application state, asynchronous events and manually updating the DOM is hard. Cycle.js is a minimal framework that combines a pure functional programming style, immutability, and state management using Observables and Virtual DOM rendering. In this presentation we take a mild introduction to why that's interesting.
Web development is hard. Managing asynchronous events and updating the dom directly quickly becomes a mess. Cycle.js uses streams and pure functions to help. You can find the presentation video in https://youtu.be/1yXgFFVVJDw
This document summarizes the new features and goals of RxJS version 5, which aims to improve the modularity, performance, debugging, and extensibility of the RxJS library. Key changes include making RxJS fully modular, improving performance by reducing allocations and call stack sizes, enhancing debugging with simpler operator implementations, and allowing better extensibility through subclassing Observables and maintaining Subject bi-directionality. Simpler unit tests using marble diagrams are also highlighted.
Basic concepts of React, Flux, Redux and the most important ES2015 (ES6) features.
Presentation on Github pages: http://lingvokot.github.io/React-Redux-ES6-presentation/
This document discusses the evolution of component composition in React, from mixins to higher-order components. It describes how mixins were commonly used in early React but caused problems with name clashes and complexity. React then introduced classes but removed mixin support. Developers experimented with inheritance but it did not allow for pure composability. Later, higher-order components were introduced as a way to compose logic in a non-hierarchical manner by wrapping one component inside another. The document demonstrates how to build a controlled input component using higher-order components to separate concerns into model, view and controller logic in a modular, reusable way. It also discusses debugging techniques using the Recompact library which treats components as streams of props.
Apache Spark in your likeness - low and high level customizationBartosz Konieczny
User-defined features and session extensions in Apache Spark allow for high-level and low-level customization. High-level customization includes user-defined types (UDT), user-defined functions (UDF), and user-defined aggregate functions (UDAF). Low-level customization involves extensions to the analyzer rules, optimizations, physical execution, and more. The document provides examples of UDT, UDF, and UDAF and discusses how they allow incorporating custom logic into Spark applications similar to stored procedures in databases.
Workshop slides from the Alt.Net Seattle 2011 workshop. Presented by Wes Dyer and Ryan Riley. Get the slides and the workshop code at http://rxworkshop.codeplex.com/
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.
Basic concepts of React, Flux, Redux and the most important ES2015 (ES6) features.
Presentation on Github pages: http://lingvokot.github.io/React-Redux-ES6-presentation/
This document discusses the history and evolution of functional programming in Java, including lambda expressions and streams. It describes how lambda expressions allow passing behaviors as arguments to methods like normal data. This improves API design, opportunities for optimization, and code readability. Streams encourage a lazy, pipelined style and can execute operations in parallel. Functional idioms like immutability and pure functions help enforce correctness and isolation of side effects.
Enterprise State Management with NGRX/platformIlia Idakiev
Angular. State Management Problems. Redux. Understanding what is RxJS by comparing it to promises. Creating a simple app using ngrx/store and ngrx/effects. State Management Practices @ hillgrand.com.
This document provides an in-depth overview of Zone.js and how it works. It discusses:
- The event loop and how Zone.js intercepts asynchronous tasks like setTimeout and promises.
- How zones provide execution contexts and how Zone.js uses zones to observe and control code execution.
- How zones can be forked to create child zones and intercepted using hooks to monitor asynchronous tasks.
- How Zone.js monkey patches browser APIs and schedules tasks through the current zone rather than calling APIs directly.
Schedulers are a very powerful way of controlling the execution of the Reactive Extensions for JavaScript streams. In this presentation we examine the different types of schedulers and the different queues in the JavaScript runtime (Tasks and Micro tasks)
Unit Testing RxJS streams using jasmine-marbles. The demo shows how we can create a Web Component that uses NGRX/store + NGRX/effects like workflow and how we test our effect streams
Presentation about my experience in developing deterministic JavaScript Applications. Thoughts on Redux and problems surrounding it. And how finite state machines/statecharts can help us (xstate).
Demos Location:
https://github.com/IliaIdakiev/slides
Presentation about the native browser way for building web components. We look at examples and the pros and cons of doing it natively and using a library. At the end we look at the Angular way of wrapping custom components into Custom Elements.
Building Reusable Custom Elements With AngularIlia Idakiev
What are Web Components and how we use them. What is Angular Elements and how can we package our angular components as custom elements and reuse them everywhere.
Demos: https://github.com/iliaidakiev/slides/
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Predictable reactive state management for enterprise apps using NGRX/platformIlia Idakiev
Predictable reactive state management for enterprise apps using NGRX/platform:
@ngrx/store - RxJS powered state management for Angular applications, inspired by Redux
@ngrx/effects - Side Effect model for @ngrx/store to model event sources as actions.
@ngrx/router-store - Bindings to connect the Angular Router to @ngrx/store
@ngrx/store-devtools - Store instrumentation that enables a powerful time-travelling debugger.
@ngrx/entity - Entity State adapter for managing record collections.
Angular/NX Overview.
Angular Offline Progressive Web Apps With NodeJSIlia Idakiev
Angular Offline Progressive Web Apps With NodeJS
- Service Workers
- Application Manifest
- Cache API
- IndexedDB
- Notification API
- Web Push Protocol
- Real Time Communication
- HTTP/2
Introduction to Offline Progressive Web ApplicationsIlia Idakiev
This document discusses offline progressive web applications (PWAs) and their advantages. It explains how service workers allow PWAs to work reliably offline through features like caching, push notifications, and background syncing. The service worker lifecycle of registration, installation, and activation is also outlined. The document provides details on using the Cache API and intercepting requests to serve cached content when offline. It discusses how application manifests and HTTP/2 improvements can make PWAs feel like native apps and load quickly.
This presentation includes: Reflective injection using TypeScript, Reflect Metadata, Zone.js, Dependecny Injection, Angular, Decorators, Decorator Factories and etc.
Overview of zone.js (Monkey Patching, Forking, Interception). How its used in Angular for triggering Change Detection and a demo in NodeJS for authentication handling.
All my slides and demos can be found here: https://github.com/IliaIdakiev/slides
Predictable reactive state management - ngrxIlia Idakiev
This document provides an overview and introduction to Predictable Reactive State Management using NGRX. It begins with an introduction to the speaker and then outlines the schedule which includes topics like functional programming, RxJS, Angular change detection, Redux, and NGRX. It then discusses how functional programming concepts like pure functions, immutable data, and declarative programming relate to Angular and libraries like RxJS and NGRX. Specific NGRX concepts like actions, reducers, and selectors are introduced. Examples are provided for building an NGRX application with a single reducer handling the state updates. Additional resources are listed at the end.
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Building Production Ready Search Pipelines with Spark and MilvusZilliz
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Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
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Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
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Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
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Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
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Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
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In this blog post, we'll delve into the intersection of AI and app development in Saudi Arabia, focusing on the food delivery sector. We'll explore how AI is revolutionizing the way Saudi consumers order food, how restaurants manage their operations, and how delivery partners navigate the bustling streets of cities like Riyadh, Jeddah, and Dammam. Through real-world case studies, we'll showcase how leading Saudi food delivery apps are leveraging AI to redefine convenience, personalization, and efficiency.
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We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
4. REACTIVE EXTENSIONS FOR JAVASCRIPT
FUNCTIONAL PROGRAMMING
▸ Functional programming is a programming paradigm
that treats computation as the evaluation of mathematical
functions and avoids changing-state and mutable data. It is
a declarative programming paradigm, which means
programming is done with expressions or declarations
instead of statements.
5. REACTIVE EXTENSIONS FOR JAVASCRIPT
IMPERATIVE VS DECLARATIVE PROGRAMMING
function getAdmins(users) {
const admins = [];
for (let i = 0; i < users.length; i++) {
const currentUser = users[i];
if (!currentUser.isAdmin) { continue; }
admins.push(currentUser);
}
return admins;
}
Imperative programming focuses on describing how a
program operates.
function getAdmins(users) {
return users.filter(
currentUser => currentUser.isAdmin
);
}
Declarative programming focuses on expressing the logic
of a computation without describing its control flow.
6. REACTIVE EXTENSIONS FOR JAVASCRIPT
FUNCTIONAL CONCEPTS
▸ Pure Functions
▸ Return the same value given the same arguments.
▸ Its evaluation has no side effects.
▸ Composition - pure functions can be composed.
▸ Immutability - don’t mutate state.
▸ Higher-order functions (Functions as first-class citizens)
▸ takes one or more functions as arguments.
▸ returns a function as its result.
▸ Currying and Partial Application - translating the evaluation of a function that takes multiple arguments into evaluating a
sequence of functions.
▸ Lazy evaluation - evaluate when needed.
and / or
7. REACTIVE EXTENSIONS FOR JAVASCRIPT
REFERENTIAL TRANSPARENCY
▸ An expression is called referentially transparent if it can be replaced with its
corresponding value without changing the program's behaviour. This requires
that the expression is pure, that is to say the expression value must be the same
for the same inputs and its evaluation must have no side effects.
8. REACTIVE EXTENSIONS FOR JAVASCRIPT
FUNCTIONAL PROGRAMMING ADVANTAGES
▸ Clean Code - Easy to test, debug and reason about (no side effects).
▸ Modularity - Breaking large problems into small parts.
▸ Reusability - Pure functions can be reused and composed.
▸ Efficiency - Lazy Evaluation (evaluate when needed)
12. REACTIVE EXTENSIONS FOR JAVASCRIPT
▸ Futures and promises originated in functional programming and related
paradigms (such as logic programming) to decouple a value (a future) from
how it was computed (a promise), allowing the computation to be done
more flexibly, notably by parallelizing it.
WHERE DO PROMISES COME FROM?
13. REACTIVE EXTENSIONS FOR JAVASCRIPT
▸ A Promise is a proxy for a value not necessarily known when the promise is
created.
▸ It allows you to associate handlers with an asynchronous action's eventual
success value or failure reason.
▸ This lets asynchronous methods return values like synchronous methods:
instead of immediately returning the final value, the asynchronous method
returns a promise to supply the value at some point in the future.
PROMISES
14. REACTIVE EXTENSIONS FOR JAVASCRIPT
▸ Pending - initial state, neither fulfilled nor rejected.
▸ Fulfilled - the operation completed successfully.
▸ Rejected - the operation failed.
PROMISE STATES (STATE MACHINE)
15. REACTIVE EXTENSIONS FOR JAVASCRIPT
PROMISE EXAMPLE
const promise = new Promise(function (resolve, reject) {
setTimeout(function () {
const randomNumber = Math.floor(Math.random() * Math.floor(10));
if (randomNumber % 2 === 0) {
resolve('Success');
return;
}
reject('Error');
}, 300);
});
promise.then(console.log).catch(console.error);
Controlling the machine state
16. REACTIVE EXTENSIONS FOR JAVASCRIPT
PROMISE EXAMPLE (2)
Promise.resolve(10).then(x => x + 10).then(console.log);
21. REACTIVE EXTENSIONS FOR JAVASCRIPT
▸ Mathematical Abstractions - Helps us getting rid of details so we can look at
things a different way.
CATEGORY THEORY
22. REACTIVE EXTENSIONS FOR JAVASCRIPT
CATEGORIES
▸ A category consists of a collection of objects (just
abstractions) and morphisms (functions).
(X, Y, Z - objects)
▸ The morphisms must obey the following laws:
▸ They must me composable.
▸ Compositions must me associative.
▸ For each object a, there is an identity morphism.
24. REACTIVE EXTENSIONS FOR JAVASCRIPT
FUNCTORS
▸ A structure-preserving mapping between categories.
▸ Let A and B be categories. A functor F from A to B is a mapping that:
▸ associates to each object a in A an object F(a) in B.
▸ associates to each morphism f in A a morphism F(f) in B such that the
following two conditions hold:
▸ F(ID(x)) = ID(F(X))
▸ F(g o f) = F(f) o F(g) for all morphisms f: x -> y, g: y -> z in A.
25. REACTIVE EXTENSIONS FOR JAVASCRIPT
CATEGORY THEORY OBJECTS IN JAVASCRIPT
const containerPrototype = {
map: function (fn) {
return Container(fn(this.value));
}
}
function Container(value) {
return Object.create(containerPrototype, { value: { value } });
}
console.log(Container(10).map(x => x + 100)); // > Container { value: 110 }
26. REACTIVE EXTENSIONS FOR JAVASCRIPT
CATEGORY THEORY OBJECTS IN JAVASCRIPT
Container(10).map(x => x + 100).map(x => '' + x); // > Container { value: '110' }
27. REACTIVE EXTENSIONS FOR JAVASCRIPT
CATEGORY THEORY OBJECTS IN JAVASCRIPT
[10].map(x => x + 100).map(x => '' + x);
28. REACTIVE EXTENSIONS FOR JAVASCRIPT
CATEGORY THEORY OBJECTS IN JAVASCRIPT
[10].map(x => x + 100).map(x => '' + x);
It’s a functor!
45. MARBLE TESTING RXJS STREAMS
REACTIVE EXTENSIONS FOR JAVASCRIPT
▸ RxJS is a library for reactive programming using
Observables, to make it easier to compose
asynchronous or callback-based code.
46. REACTIVE EXTENSIONS FOR JAVASCRIPT
CREATING AN OBSERVABLE (THE OLD WAY)
import 'rxjs/add/observable/of';
import ‘rxjs/add/operator/map';
of(10).map(x => x + 100).map(x => '' + x).subscribe(console.log);
47. REACTIVE EXTENSIONS FOR JAVASCRIPT
CREATING AN OBSERVABLE
import { of } from ‘rxjs';
import { map } from ‘rxjs/operators';
of(10).pipe(map(x => x + 100), map(x => '' + x)).subscribe(console.log);
52. REACTIVE EXTENSIONS FOR JAVASCRIPT
HOT AND COLD OBSERVABLES
▸ Cold - An observable is “cold” if its underlying producer is created and
activated during subscription.
▸ Hot - An observable is “hot” if its underlying producer is either created or
activated outside of subscription.
55. REACTIVE EXTENSIONS FOR JAVASCRIPT
COMMON THINGS THAT WE NEED
▸ debouncing
▸ cancelation
▸ retrying
▸ throttling
▸ timeouts
▸ detect only if something changed
61. MARBLE TESTING RXJS STREAMS
WHAT IS COMMON ABOUT RXJS AND PROMISES?
▸ They are both monads.
▸ Both monads are used to capture the effect of latency.