Тема №2 Расширяем сознание реактивным подходом. RxJava и Android
Спикер — Владимир Артеменко — android developer Компания Rooky Pro
Уровень аудитории — Теория есть, начальный опыт применения
Цель доклада – Обучение
1. Rxjs provides a better way of handling asynchronous code through observables which are streams of values over time. Observables allow for cancellable, retryable operations and easy composition of different asynchronous sources.
2. Common Rxjs operators like map, filter, and flatMap allow transforming and combining observable streams. Operators make observables quite powerful for tasks like async logic, event handling, and API requests.
3. In Angular, observables are used extensively for tasks like HTTP requests, routing, and component communication. Key aspects are using async pipes for subscriptions and unsubscribing during lifecycle hooks. Rxjs greatly simplifies many common asynchronous patterns in Angular applications.
The document contains 6 programming tasks involving object-oriented concepts like classes, operators overloading, constructors etc. in C++. The tasks include modifying existing classes to add new functionality like operator overloading for arithmetic, relational and logical operators. New classes are also designed from scratch implementing various features like constructors, member functions and operator overloading. Main functions are written to test the classes.
Reactive programming with RxJS - ByteConf 2018Tracy Lee
Reactive programming paradigms are all around us. So why does is it awesome? We'll explore reactive programming in standards, frameworks and libraries and talk about how to think reactively.
Then we'll take a more practical approach and talk about how to utilize reactive programming patterns with an abstraction like RxJS, a domain specific language for reacting to events and how using this abstraction can make your development life much easier in React Native.
RxJS Operators - Real World Use Cases (FULL VERSION)Tracy Lee
This document provides an overview and explanation of various RxJS operators for working with Observables, including:
- The map, filter, and scan operators for transforming streams of data. Map applies a function to each value, filter filters values, and scan applies a reducer function over time.
- Flattening operators like switchMap, concatMap, mergeMap, and exhaustMap for mapping Observables to other Observables.
- Error handling operators like catchError, retry, and retryWhen for catching and handling errors.
- Additional explanation of use cases and common mistakes for each operator discussed. The document is intended to explain these essential operators for real world reactive programming use.
The document discusses the benefits of using RxJS observables over promises and events for managing asynchronous and reactive code in Angular applications. It explains key concepts like observers, subscriptions, operators, cold vs hot observables, and using RxJS with services and components. Example code is provided for creating observable data services to share data between components, composing asynchronous logic with operators, and best practices for managing subscriptions and preventing memory leaks. Overall, the document promotes a reactive programming style with RxJS for building maintainable and testable Angular applications.
RxJs - demystified provides an overview of reactive programming and RxJs. The key points covered are:
- Reactive programming focuses on propagating changes without explicitly specifying how propagation happens.
- Observables are at the heart of RxJs and emit values in a push-based manner. Operators allow transforming, filtering, and combining observables.
- Common operators include map, filter, reduce, buffer, and switchMap. Over 120 operators exist for tasks like error handling, multicasting, and conditional logic.
- Marble diagrams visually demonstrate how operators transform observable streams.
- Creating observables from events, promises, arrays and iterables allows wrapping different data sources in a uniform API
Rx.js allows for asynchronous programming using Observables that provide a stream of multiple values over time. The document discusses how Observables can be created from events, combined using operators like map, filter, and flatMap, and subscribed to in order to handle the stream of values. A drag and drop example is provided that creates an Observable stream of mouse drag events by combining mouse down, mouse move, and mouse up event streams. This allows treating the sequence of mouse events as a collection that can be transformed before handling the drag behavior.
1. Rxjs provides a better way of handling asynchronous code through observables which are streams of values over time. Observables allow for cancellable, retryable operations and easy composition of different asynchronous sources.
2. Common Rxjs operators like map, filter, and flatMap allow transforming and combining observable streams. Operators make observables quite powerful for tasks like async logic, event handling, and API requests.
3. In Angular, observables are used extensively for tasks like HTTP requests, routing, and component communication. Key aspects are using async pipes for subscriptions and unsubscribing during lifecycle hooks. Rxjs greatly simplifies many common asynchronous patterns in Angular applications.
The document contains 6 programming tasks involving object-oriented concepts like classes, operators overloading, constructors etc. in C++. The tasks include modifying existing classes to add new functionality like operator overloading for arithmetic, relational and logical operators. New classes are also designed from scratch implementing various features like constructors, member functions and operator overloading. Main functions are written to test the classes.
Reactive programming with RxJS - ByteConf 2018Tracy Lee
Reactive programming paradigms are all around us. So why does is it awesome? We'll explore reactive programming in standards, frameworks and libraries and talk about how to think reactively.
Then we'll take a more practical approach and talk about how to utilize reactive programming patterns with an abstraction like RxJS, a domain specific language for reacting to events and how using this abstraction can make your development life much easier in React Native.
RxJS Operators - Real World Use Cases (FULL VERSION)Tracy Lee
This document provides an overview and explanation of various RxJS operators for working with Observables, including:
- The map, filter, and scan operators for transforming streams of data. Map applies a function to each value, filter filters values, and scan applies a reducer function over time.
- Flattening operators like switchMap, concatMap, mergeMap, and exhaustMap for mapping Observables to other Observables.
- Error handling operators like catchError, retry, and retryWhen for catching and handling errors.
- Additional explanation of use cases and common mistakes for each operator discussed. The document is intended to explain these essential operators for real world reactive programming use.
The document discusses the benefits of using RxJS observables over promises and events for managing asynchronous and reactive code in Angular applications. It explains key concepts like observers, subscriptions, operators, cold vs hot observables, and using RxJS with services and components. Example code is provided for creating observable data services to share data between components, composing asynchronous logic with operators, and best practices for managing subscriptions and preventing memory leaks. Overall, the document promotes a reactive programming style with RxJS for building maintainable and testable Angular applications.
RxJs - demystified provides an overview of reactive programming and RxJs. The key points covered are:
- Reactive programming focuses on propagating changes without explicitly specifying how propagation happens.
- Observables are at the heart of RxJs and emit values in a push-based manner. Operators allow transforming, filtering, and combining observables.
- Common operators include map, filter, reduce, buffer, and switchMap. Over 120 operators exist for tasks like error handling, multicasting, and conditional logic.
- Marble diagrams visually demonstrate how operators transform observable streams.
- Creating observables from events, promises, arrays and iterables allows wrapping different data sources in a uniform API
Rx.js allows for asynchronous programming using Observables that provide a stream of multiple values over time. The document discusses how Observables can be created from events, combined using operators like map, filter, and flatMap, and subscribed to in order to handle the stream of values. A drag and drop example is provided that creates an Observable stream of mouse drag events by combining mouse down, mouse move, and mouse up event streams. This allows treating the sequence of mouse events as a collection that can be transformed before handling the drag behavior.
The document discusses asynchronous programming and patterns in .NET. It covers several key points:
- Async methods should return Tasks rather than void to allow proper composition.
- Libraries should expose asynchronous APIs that are naturally asynchronous rather than wrapping synchronous code in Tasks unnecessarily.
- Parallelization can hurt performance by adding overhead if not used correctly, such as when parallelizing I/O-bound work.
- Asynchronous patterns like Task.WhenAll can improve performance over sequential code by allowing asynchronous operations to overlap and avoid unnecessary waiting.
Async best practices DotNet Conference 2016 Lluis Franco
1. The document discusses best practices for asynchronous programming in .NET.
2. It recommends using async Task methods instead of async void methods, except for event handlers, so exceptions can be caught and callers know when the method finishes.
3. For CPU-bound work, using Parallel.ForEach or Task.Run to put work on the thread pool is recommended, while for I/O work using await is preferred over background threads.
This document discusses RxJS marble testing. It provides an overview of Observables, Schedulers, and the TestScheduler. The TestScheduler allows testing asynchronous code by virtualizing time, mocking Observables with marble diagrams, and asserting expected emissions. Examples demonstrate creating cold Observables, time, and testing an Epic that uses delay with the redux-observable-test-helper. Marble testing makes asynchronous code more testable.
RxJava is a library for composing asynchronous and event-based programs using observable sequences. It provides APIs for asynchronous programming with observable streams and the ability to chain operations and transformations on these streams using reactive extensions. The basic building blocks are Observables, which emit items, and Subscribers, which consume those items. Operators allow filtering, transforming, and combining Observable streams. RxJava helps address problems with threading and asynchronous operations in Android by providing tools to manage execution contexts and avoid callback hell.
The document describes a single-server queue simulation of a grocery store checkout counter. It includes the overall structure of the simulation program, which uses object-oriented programming in Java. Key aspects of the model include customer arrivals based on an exponential distribution and service times based on a normal distribution. The program outputs statistical results like server utilization, maximum queue length, and customer wait times.
The document discusses RxJS, a library for reactive programming using Observables that provide an API for asynchronous programming with observable streams. It provides code examples of using RxJS to handle events, AJAX requests, and animations as Observables. It also compares RxJS to Promises and native JavaScript event handling, and lists several frameworks that use RxJS like Angular and Redux.
This document contains the code for a program that evaluates mathematical expressions. It defines methods to:
- Read expressions from a file or user input and split them into operands and operators
- Calculate the results of valid expressions and store statistics like highest/lowest values
- Handle invalid expressions and output error messages
- Output the results of calculations and expression statistics after processing is complete
The document discusses using asynchronous SQL queries in Flex applications to avoid freezing the user interface. It proposes using a StatementList class to encapsulate executing multiple SQL statements as a transaction in an asynchronous manner. The key points are:
1) Synchronous SQL queries can freeze the UI, so asynchronous queries are preferable.
2) A StatementList class is created to execute multiple SQL statements as a transaction asynchronously without locking the UI.
3) An ExecutionQueue class is introduced to schedule StatementList objects to ensure proper execution order without locking.
The program defines a jagged array with 3 inner arrays of unspecified length. It initializes the inner arrays. It then iterates through the jagged array and sums all elements of the inner arrays. The total sum is returned.
SOLID principles in practice: the Clean ArchitectureFabio Collini
The Clean Architecture has been formalized by Robert C. Martin in 2012, it's quite new even if it's based on the SOLID principles (presented for the first time in early 2000). The biggest benefit that we get using this architecture is the code testability, indeed it separates the application code from the code connected to external factor (that usually is more difficult to test).
In this talk we'll see a practical example of how to apply the SOLID principle, in particular, the dependency inversion.
This Java program allows a user to perform arithmetic operations and generate random numbers on arrays of double values. The user is presented with a menu to choose between adding, subtracting, multiplying, dividing, dot product, or generating a random array. For each operation, the user can enter size of the arrays and values. The program then performs the selected operation and displays the results. It includes error handling for cases like dividing by zero. Methods are defined to get user input, perform the operations, and generate random numbers within a given range.
RxJS is a library for composing asynchronous and event-based programs by using observable sequences. It provides operators that allow transforming, filtering, and combining streams of data from diverse sources. Key features include:
- Representing asynchronous data streams with Observables
- Providing LINQ-like operators for querying and transforming streams
- Using Schedulers to control concurrency and synchronize streams with other asynchronous operations like user interactions, server requests, etc.
Solid principles in practice the clean architecture - Droidcon ItalyFabio Collini
The Clean Architecture has been formalized by Robert C. Martin in 2012, it's quite new even if it's based on the SOLID principles (presented for the first time in early 2000). The biggest benefit that we get using this architecture is the code testability, indeed it separates the application code from the code connected to external factor (that usually is more difficult to test).
In this talk we'll see a practical example of how to apply the SOLID principle, in particular, the dependency inversion.
This document discusses various RxJava concepts and best practices including:
1. RxJava contracts such as not allowing null values in streams, serialized emission of events, and requiring onComplete calls.
2. Threading considerations for operators like flatMap, merge, and zip to ensure proper threading.
3. Retry strategies using RetryWhen to handle errors in different ways like retries or refreshing authentication tokens.
4. Exception handling techniques like wrapping exceptions in other exceptions or returning default values from Single sources.
The document provides code examples to illustrate these concepts and compares correct vs incorrect implementations.
RxJS Operators - Real World Use Cases - AngularMixTracy Lee
If you want to learn about the most important operators you need to know, check out this deck.
I touch on ~20 most common operators that you need in your arsenal, when you should be using them, and when you should not.
The document contains 8 C# programs that print various patterns. The programs use for loops and if/else statements to iterate through arrays or integers and print numbers or values in a specific patterned format. They demonstrate ways to print triangles, grids, ascending/descending sequences and more using basic programming constructs.
apidays LIVE Australia 2020 - Strangling the monolith with a reactive GraphQL...apidays
apidays LIVE Australia 2020 - Building Business Ecosystems
Strangling the monolith with a reactive GraphQL gateway
Martin Varga, Senior Software Developer at Atlassian
The document discusses ReactiveX (RxJava) and the Observable pattern. It begins with an overview of Observables which emit streams of data and how subscribers observe and react to those streams. It then covers various RxJava operators like map, flatMap, and compose that allow transforming and combining Observable streams. The document also discusses threading with RxJava using subscribeOn and observeOn and how to structure applications using an MVVM architecture with RxJava.
This document contains code for several Java programs that perform various calculations and operations:
1. A FiveNumberSum program that declares integer variables, sums 5 numbers, and prints the result.
2. An ArithmeticTest program that performs arithmetic operations (addition, subtraction, multiplication, division, remainder) on two integers, prints the results, and demonstrates increment/decrement operators.
3. Additional programs include ones for a triangle class/tester, decimal-binary conversions, trigonometric functions, and determining if a number is odd or even.
For most of us, Reactive Android means using RxJava. In this presentation, I try to borrow a few ideas from the backend world and enrich the concept of Reactive in Android.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise boosts blood flow and levels of neurotransmitters and endorphins which elevate and stabilize mood.
The document discusses asynchronous programming and patterns in .NET. It covers several key points:
- Async methods should return Tasks rather than void to allow proper composition.
- Libraries should expose asynchronous APIs that are naturally asynchronous rather than wrapping synchronous code in Tasks unnecessarily.
- Parallelization can hurt performance by adding overhead if not used correctly, such as when parallelizing I/O-bound work.
- Asynchronous patterns like Task.WhenAll can improve performance over sequential code by allowing asynchronous operations to overlap and avoid unnecessary waiting.
Async best practices DotNet Conference 2016 Lluis Franco
1. The document discusses best practices for asynchronous programming in .NET.
2. It recommends using async Task methods instead of async void methods, except for event handlers, so exceptions can be caught and callers know when the method finishes.
3. For CPU-bound work, using Parallel.ForEach or Task.Run to put work on the thread pool is recommended, while for I/O work using await is preferred over background threads.
This document discusses RxJS marble testing. It provides an overview of Observables, Schedulers, and the TestScheduler. The TestScheduler allows testing asynchronous code by virtualizing time, mocking Observables with marble diagrams, and asserting expected emissions. Examples demonstrate creating cold Observables, time, and testing an Epic that uses delay with the redux-observable-test-helper. Marble testing makes asynchronous code more testable.
RxJava is a library for composing asynchronous and event-based programs using observable sequences. It provides APIs for asynchronous programming with observable streams and the ability to chain operations and transformations on these streams using reactive extensions. The basic building blocks are Observables, which emit items, and Subscribers, which consume those items. Operators allow filtering, transforming, and combining Observable streams. RxJava helps address problems with threading and asynchronous operations in Android by providing tools to manage execution contexts and avoid callback hell.
The document describes a single-server queue simulation of a grocery store checkout counter. It includes the overall structure of the simulation program, which uses object-oriented programming in Java. Key aspects of the model include customer arrivals based on an exponential distribution and service times based on a normal distribution. The program outputs statistical results like server utilization, maximum queue length, and customer wait times.
The document discusses RxJS, a library for reactive programming using Observables that provide an API for asynchronous programming with observable streams. It provides code examples of using RxJS to handle events, AJAX requests, and animations as Observables. It also compares RxJS to Promises and native JavaScript event handling, and lists several frameworks that use RxJS like Angular and Redux.
This document contains the code for a program that evaluates mathematical expressions. It defines methods to:
- Read expressions from a file or user input and split them into operands and operators
- Calculate the results of valid expressions and store statistics like highest/lowest values
- Handle invalid expressions and output error messages
- Output the results of calculations and expression statistics after processing is complete
The document discusses using asynchronous SQL queries in Flex applications to avoid freezing the user interface. It proposes using a StatementList class to encapsulate executing multiple SQL statements as a transaction in an asynchronous manner. The key points are:
1) Synchronous SQL queries can freeze the UI, so asynchronous queries are preferable.
2) A StatementList class is created to execute multiple SQL statements as a transaction asynchronously without locking the UI.
3) An ExecutionQueue class is introduced to schedule StatementList objects to ensure proper execution order without locking.
The program defines a jagged array with 3 inner arrays of unspecified length. It initializes the inner arrays. It then iterates through the jagged array and sums all elements of the inner arrays. The total sum is returned.
SOLID principles in practice: the Clean ArchitectureFabio Collini
The Clean Architecture has been formalized by Robert C. Martin in 2012, it's quite new even if it's based on the SOLID principles (presented for the first time in early 2000). The biggest benefit that we get using this architecture is the code testability, indeed it separates the application code from the code connected to external factor (that usually is more difficult to test).
In this talk we'll see a practical example of how to apply the SOLID principle, in particular, the dependency inversion.
This Java program allows a user to perform arithmetic operations and generate random numbers on arrays of double values. The user is presented with a menu to choose between adding, subtracting, multiplying, dividing, dot product, or generating a random array. For each operation, the user can enter size of the arrays and values. The program then performs the selected operation and displays the results. It includes error handling for cases like dividing by zero. Methods are defined to get user input, perform the operations, and generate random numbers within a given range.
RxJS is a library for composing asynchronous and event-based programs by using observable sequences. It provides operators that allow transforming, filtering, and combining streams of data from diverse sources. Key features include:
- Representing asynchronous data streams with Observables
- Providing LINQ-like operators for querying and transforming streams
- Using Schedulers to control concurrency and synchronize streams with other asynchronous operations like user interactions, server requests, etc.
Solid principles in practice the clean architecture - Droidcon ItalyFabio Collini
The Clean Architecture has been formalized by Robert C. Martin in 2012, it's quite new even if it's based on the SOLID principles (presented for the first time in early 2000). The biggest benefit that we get using this architecture is the code testability, indeed it separates the application code from the code connected to external factor (that usually is more difficult to test).
In this talk we'll see a practical example of how to apply the SOLID principle, in particular, the dependency inversion.
This document discusses various RxJava concepts and best practices including:
1. RxJava contracts such as not allowing null values in streams, serialized emission of events, and requiring onComplete calls.
2. Threading considerations for operators like flatMap, merge, and zip to ensure proper threading.
3. Retry strategies using RetryWhen to handle errors in different ways like retries or refreshing authentication tokens.
4. Exception handling techniques like wrapping exceptions in other exceptions or returning default values from Single sources.
The document provides code examples to illustrate these concepts and compares correct vs incorrect implementations.
RxJS Operators - Real World Use Cases - AngularMixTracy Lee
If you want to learn about the most important operators you need to know, check out this deck.
I touch on ~20 most common operators that you need in your arsenal, when you should be using them, and when you should not.
The document contains 8 C# programs that print various patterns. The programs use for loops and if/else statements to iterate through arrays or integers and print numbers or values in a specific patterned format. They demonstrate ways to print triangles, grids, ascending/descending sequences and more using basic programming constructs.
apidays LIVE Australia 2020 - Strangling the monolith with a reactive GraphQL...apidays
apidays LIVE Australia 2020 - Building Business Ecosystems
Strangling the monolith with a reactive GraphQL gateway
Martin Varga, Senior Software Developer at Atlassian
The document discusses ReactiveX (RxJava) and the Observable pattern. It begins with an overview of Observables which emit streams of data and how subscribers observe and react to those streams. It then covers various RxJava operators like map, flatMap, and compose that allow transforming and combining Observable streams. The document also discusses threading with RxJava using subscribeOn and observeOn and how to structure applications using an MVVM architecture with RxJava.
This document contains code for several Java programs that perform various calculations and operations:
1. A FiveNumberSum program that declares integer variables, sums 5 numbers, and prints the result.
2. An ArithmeticTest program that performs arithmetic operations (addition, subtraction, multiplication, division, remainder) on two integers, prints the results, and demonstrates increment/decrement operators.
3. Additional programs include ones for a triangle class/tester, decimal-binary conversions, trigonometric functions, and determining if a number is odd or even.
For most of us, Reactive Android means using RxJava. In this presentation, I try to borrow a few ideas from the backend world and enrich the concept of Reactive in Android.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise boosts blood flow and levels of neurotransmitters and endorphins which elevate and stabilize mood.
An exploration into RxJava on Android for the experienced, yet uninitiated software engineer. This presentation explores Declarative vs Imperative programming paradigms and expands the discussion into Functional Reactive Programming. It explains the benefits of the observer contract, high-order functions, and schedulers available in RxJava. It also explains the purpose of the Android integration libraries: RxAndroid, RxLifecycle, and RxBindings.
The Mayans Lost Guide to RxJava on AndroidFernando Cejas
This document provides an introduction and overview of RxJava. Some key points:
- RxJava is a library for composing asynchronous and event-based programs using observable sequences. It implements Reactive Extensions (ReactiveX) for the Java VM.
- Using RxJava can help address issues with concurrency, callbacks, and composing asynchronous operations in Java. It promotes a reactive style of programming.
- The core abstractions in RxJava are Observables (which emit notifications), Subscribers (which receive notifications), and Operators (which allow transformation and manipulation of observable sequences).
- Examples are provided of how to use RxJava with Clean Architecture, including reactive presenters, use cases that
The document discusses Reactive programming concepts using RxJava. It defines key RxJava terms like Observable and Observer. An Observable is the source of events, while an Observer handles incoming events. It also covers how to create Observables from sources like arrays, intervals, and network calls. Operators like filter, map, take, and defaultIfEmpty are demonstrated for transforming Observables.
The document introduces RxJava and how it can be used in Android applications, describing key concepts like Observables, Observers, Operators, and Subjects that allow asynchronous and event-based code to be written in a reactive style. It provides examples of how RxJava can be used to fetch toilet data from an API and handle the asynchronous response more declaratively compared to using callbacks. The document also discusses how subjects can act as both observables that emit events and observers that receive events, making them useful for building event buses between activities.
This document provides an introduction to Retrofit and RxJava. It discusses:
1. How Retrofit turns REST APIs into Java interfaces and handles JSON conversion.
2. What RxJava is and how it allows for composing asynchronous and event-based programs using observable sequences.
3. Examples of making HTTP requests with Retrofit, including defining services, making synchronous and asynchronous requests, and using callbacks and RxJava.
4. Key RxJava concepts like Observables, operators like map, flatMap, and zip, and threading.
A practical guide to using RxJava on Android. Tips for improving your app architecture with reactive programming. What are the advantages and disadvantages of using RxJava over standard architecture? And how to connect with other popular Android libraries?
Presented at GDG DevFest The Netherlands 2016.
When it comes to code reuse strategy, helper classes and base activities have their limitation. One great alternative that has the strength of both helper classes and base activitys are headless Fragments. Ultimately, this is a question of composition versus inheritance.
Building Scalable Stateless Applications with RxJavaRick Warren
RxJava is a lightweight open-source library, originally from Netflix, that makes it easy to compose asynchronous data sources and operations. This presentation is a high-level intro to this library and how it can fit into your application.
Reactive Programming on Android - RxAndroid - RxJavaAli Muzaffar
Introduction to RxJava for reactive programming and how to use RxAndroid to do reactive programming on Android.
There is a sample android app to go with the slides that has all the source shown in the project.
This document summarizes an introductory presentation on RxJava. It begins with definitions of reactive programming and RxJava, noting that RxJava allows for composing asynchronous and event-based programs using observable sequences. It then discusses some common problems with concurrency in Android and how RxJava provides solutions through concepts like Observables, operators, and schedulers. It provides examples of using RxJava for common tasks like network requests and timers. It concludes with some common mistakes to avoid like improper use of schedulers and failing to unsubscribe.
This document discusses concurrency, scalability, and fault tolerance using actors and software transactional memory (STM) in Akka. It describes how actors provide message-passing concurrency by isolating processes and avoiding shared state. Actors allow easy reasoning about concurrency by preventing issues like race conditions and deadlocks. The document also covers how Akka implements actors, typed actors, remote actors, supervisor hierarchies for fault tolerance, and STM for coordinating concurrent changes to shared state transactionally. Combining actors with STM results in "transactors" that allow building distributed, concurrent, and fault-tolerant applications.
The document discusses reactive programming and how it can be used on Android. It explains that reactive programming uses observable sequences and asynchronous data flows. It introduces RxJava as a library for reactive programming that uses Observables to compose flows of asynchronous data. It provides examples of how RxJava can be used on Android to perform background tasks, handle errors and activity lifecycles, load images asynchronously, and create and transform Observables.
This document provides an introduction to Akka.NET Streams and Reactive Streams. It discusses key concepts like observables, async enumerables, and reactive streams. It also demonstrates how to build workflows with Akka.NET streams, including examples of building a TCP server. The document introduces core Akka.NET streams concepts like sources, flows, and sinks, and how they compose together in a runnable graph. It also covers testing streams with probes and materialization.
ClojureScript loves React, DomCode May 26 2015Michiel Borkent
This document provides an overview of ClojureScript and compares it to ReactJS. It discusses the current status of JavaScript, how ClojureScript targets JavaScript using Google Closure libraries and optimizations. The core features of ClojureScript are summarized, including its use of persistent immutable data structures, functional programming, sequence abstraction, and isolation of mutable state with atoms. Syntax differences between JavaScript and ClojureScript are shown through examples.
The document discusses reactive programming concepts using RxJava. It introduces observables and observers, where observables push asynchronous events to observers via subscriptions. It explains how to create observables that return asynchronous values, and how operators like map, filter, and flatMap can transform and combine observable streams. Key lessons are that performance depends on operator implementations, debugging subscriptions can be difficult, and IDE support for reactive code is still maturing.
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 provides an overview of React and Expo SDK concepts including:
1. React uses a declarative paradigm and JSX syntax to build user interfaces using components and reusable UI elements.
2. The Expo SDK exposes cross-platform native device capabilities and APIs for building mobile apps using React Native including location services, camera, and pedometer.
3. Open data sources can be accessed through the Expo SDK to incorporate public datasets into mobile apps.
Vadym Khondar is a senior software engineer with 8 years of experience, including 2.5 years at EPAM. He leads a development team that works on web and JavaScript projects. The document discusses reactive programming, including its benefits of responsiveness, resilience, and other qualities. Examples demonstrate using streams, behaviors, and other reactive concepts to write more declarative and asynchronous code.
Actors provide a model for building concurrent and distributed applications using message passing between isolated computing entities called actors. Akka is an implementation of the actor model that allows building scalable and fault-tolerant applications on the JVM. Akka provides features like remote deployment of actors, asynchronous message passing, supervision strategies, and dispatchers for configuring how messages are processed.
The document discusses reactive programming and reactive systems. It defines the three parts of the reactive spectrum as reactive (software showing responses to stimuli), reactive systems (frameworks like Akka and Vert.x), and reactive programming (programming models using streams/flows like RxJava). It discusses key aspects of reactive systems like asynchronous programming, back pressure in streams to handle varying workloads, and using reactive types like Singles, Maybes and Completables. The document advocates for building responsive distributed systems using these reactive principles and introduces Vert.x as a toolkit for building such systems.
Tech Talk #4 : RxJava and Using RxJava in MVP - Dương Văn TớiNexus FrontierTech
RxJava is a library for composing asynchronous and event-based programs using observable sequences. It allows processing streams of data and events asynchronously without blocking threads. Some key features include:
- Creating Observables from various sources like arrays, callbacks, or network requests
- Combining multiple Observables using operators like map, filter, concatMap
- Scheduling Observables to run on different threads for IO, computation, or the main thread
- Subscribing to Observables using Subscriber, Observer, or other callback methods
When using RxJava with MVP, Observables can be used to asynchronously load and transform data from the model to be presented by the view. Operators allow processing streams of data before
The document discusses several common Java anti-patterns, including:
1) Approving a task by rejecting it in a method called "approve".
2) Avoiding the use of helper libraries to simplify tasks like file name parsing.
3) Using reflection when direct method calls would suffice.
The document provides an introduction to RxJS (Reactive Extensions for JavaScript), which is a reactive programming library for asynchronous operations. It discusses key RxJS concepts like Observables, operators, and functional reactive programming. It also provides examples of using RxJS to handle events asynchronously and processing streams of data.
Think Async: Asynchronous Patterns in NodeJSAdam L Barrett
JavaScript is single threaded, so understanding the async patterns available in the language is critical to creating maintainable NodeJS applications with good performance. In order to master “thinking in async”, we’ll explore the async patterns available in node and JavaScript including standard callbacks, promises, thunks/tasks, the new async/await, the upcoming asynchronous iteration features, streams, CSP and ES Observables.
This document provides an overview of Rxjs (Reactive Extensions for JavaScript). It begins by explaining why Rxjs is useful for dealing with asynchronous code in a synchronous way and provides one paradigm for asynchronous operations. It then discusses the history of callbacks and promises for asynchronous code. The bulk of the document explains key concepts in Rxjs including Observables, Operators, error handling, testing with Schedulers, and compares Promises to Rxjs. It provides examples of many common Rxjs operators and patterns.
Rxjs provides a paradigm for dealing with asynchronous operations in a way that resembles synchronous code. It uses Observables to represent asynchronous data streams over time that can be composed using operators. This allows handling of events, asynchronous code, and other reactive sources in a declarative way. Key points are:
- Observables represent asynchronous data streams that can be subscribed to.
- Operators allow manipulating and transforming streams through methods like map, filter, switchMap.
- Schedulers allow controlling virtual time for testing asynchronous behavior.
- Promises represent single values while Observables represent continuous streams, making Observables more powerful for reactive programming.
- Cascading asynchronous calls can be modeled elegantly using switch
Один из основных мотивов добавления в Java 8 лямбда-выражений — упростить написание многопоточных программ. На примере несложной вычислительной задачи я покажу эволюцию средств Java для многопоточности. Начнём с Java Threads, а закончим лямбда-выражениями и Stream API. Ну и в результате посмотрим, что и как вышло.
1) Rxjs provides a paradigm for dealing with asynchronous operations in a synchronous way using observables. Observables allow representing push-based data streams and provide operators to compose and transform these streams.
2) Operators like map, filter, and switchMap allow manipulating observable streams and their values in various ways. Common patterns include cascading asynchronous calls, parallelizing multiple requests, and retrying or error handling of streams.
3) Schedulers allow bending time and virtual clocks, enabling testing asynchronous code by controlling when asynchronous operations complete. Marble testing uses descriptive patterns to visually test observable streams and operator behavior.
Тема доклада: Service Workers
- Описание проблемы оффлайна и плохого интернета
- Возможные решения
- Описание, цели, поддержка этой технологии
- Примеры
Артур Пархисенко / Livestream / Front-end Engineer
"Автоматизация разработки микросервисной архитектуры на Node.JS с использованием современных инструментов"
Докладчик: Senior JS Developer @light-it - Дмитрий Куликов
Тема №3 Kotlin — а почему бы и нет?
Спикер — Андрей Турковский — android developer — Компания Rooky Pro
Уровень аудитории — Теория есть, начальный опыт применения
Цель доклада – Обучение
Мы любим ОПП, так для чего же нам его мешать с ФП? Краткий обзор функциональных возможностей Java.
Спикер — Иван Сербинюк — teamlead Компания Rooky Pro
Уровень аудитории — Теория есть, начальный опыт применения
Цель доклада – Обучение
Спикер — Кузнецов Леонид — UI developer S-PRO
Тема «Путь UI developer. От «Белого» пояса к «черному»
В докладе вы узнаете подробнее о том:
1. Этапы профессионального развития UI Developer в современных реалиях
2. Какими практическими знаниями и умениями нужно обладать на каждом этапе
3. 6 уровней основных ступеней роста и перспективы дальнейшего развития отрасли
Спикер — Зотов Максим — Senior PHP разработчик BWT Team
Тема «HTML 5 canvas и электронный документооборот»
В докладе вы узнаете подробнее о том:
1. Что такое HTML 5 canvas и как работать с его API
2. Как отображать pdf документы в браузерах и что такое pdf формы
3. Познакомитесь с библиотекой PDF.js
4. Поделимся нашим опытом перевода клиентов, привыкших заполнять документы в бумажной форме, на электронный документооборот
Уже 7 год подряд ШАГ проводит чемпионат «Золотой Байт». Это социальный проект, который не несет для нас материальной заинтересованности.
Этот чемпионат ежегодно привлекает более 8 тыс. участников, среди которых креативные школьники и талантливая молодежь с десяти стран мира. Чемпионат проходит при поддержки спонсоров и партнеров, в не сколько этапов.
Нас поддерживают: Microsoft, Dell, Ciklum, Infopulse, Intel, Logitech, Huawei.
В этом году 10 номинаций. Номинации для программистов, дизайнером и системных администраторов. Более детальную информацию вы можете изучить на сайте Чемпионата: http://www.goldenbyte.org/
Создание и визуализация 3d модели автомобиля Chevrolet Camaro в окружении. Видеоролик и анимация автомобиля.
Преподаватель: Чекрыгина О.В.
Студент: Хетагуров Михаил владимирович
Группа: Е4-11-Д-14
3d-анимация, 3d-моделирование, Анимация, Выпуск 2015 лето, Дипломный проект, Запорожье.
Создание анимированной модели танка. Видео ролик.
Преподаватель: Чекрыгина О.В.
Студент: Ищенко Александр Сергеевич
Группа: Е4-11-Д-14
3d-анимация, 3d-моделирование, Анимация, Выпуск 2015 лето, Дипломный проект, Запорожье.
Communicating effectively and consistently with students can help them feel at ease during their learning experience and provide the instructor with a communication trail to track the course's progress. This workshop will take you through constructing an engaging course container to facilitate effective communication.
Philippine Edukasyong Pantahanan at Pangkabuhayan (EPP) CurriculumMJDuyan
(𝐓𝐋𝐄 𝟏𝟎𝟎) (𝐋𝐞𝐬𝐬𝐨𝐧 𝟏)-𝐏𝐫𝐞𝐥𝐢𝐦𝐬
𝐃𝐢𝐬𝐜𝐮𝐬𝐬 𝐭𝐡𝐞 𝐄𝐏𝐏 𝐂𝐮𝐫𝐫𝐢𝐜𝐮𝐥𝐮𝐦 𝐢𝐧 𝐭𝐡𝐞 𝐏𝐡𝐢𝐥𝐢𝐩𝐩𝐢𝐧𝐞𝐬:
- Understand the goals and objectives of the Edukasyong Pantahanan at Pangkabuhayan (EPP) curriculum, recognizing its importance in fostering practical life skills and values among students. Students will also be able to identify the key components and subjects covered, such as agriculture, home economics, industrial arts, and information and communication technology.
𝐄𝐱𝐩𝐥𝐚𝐢𝐧 𝐭𝐡𝐞 𝐍𝐚𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐒𝐜𝐨𝐩𝐞 𝐨𝐟 𝐚𝐧 𝐄𝐧𝐭𝐫𝐞𝐩𝐫𝐞𝐧𝐞𝐮𝐫:
-Define entrepreneurship, distinguishing it from general business activities by emphasizing its focus on innovation, risk-taking, and value creation. Students will describe the characteristics and traits of successful entrepreneurs, including their roles and responsibilities, and discuss the broader economic and social impacts of entrepreneurial activities on both local and global scales.
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
हिंदी वर्णमाला पीपीटी, hindi alphabet PPT presentation, hindi varnamala PPT, Hindi Varnamala pdf, हिंदी स्वर, हिंदी व्यंजन, sikhiye hindi varnmala, dr. mulla adam ali, hindi language and literature, hindi alphabet with drawing, hindi alphabet pdf, hindi varnamala for childrens, hindi language, hindi varnamala practice for kids, https://www.drmullaadamali.com
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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Training: ISO/IEC 27001 Information Security Management System - EN | PECB
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Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
6. onNext, onCompleted, and onError
new Observer<T>() {
@Override public void onNext(T element) {
// called when Observable «pushes» new event.
}
@Override public void onCompleted() {
// when stream is successfully completed(terminal state)
}
@Override public void onError(Throwable e) {
// bad news, stream is ends with exception (terminal state)
}
};