Enhancing Java Stream API

An advanced, but easy to use, platform for writing functional applications in Java 8.

Progress indicators/bars using Streams, Service Workers, and Fetch APIs

Low Latency web audio playback examples for decoding audio streams in chunks with Fetch & Streams APIs

Instantly decode Ogg Opus audio streams in chunks with JavaScript & WebAssembly (Wasm)

Standard text for CompressionStream and DecompressionStream API

A complete list of all the ways a Client and Server communicate with each other in JavaScript and Node.

Web Streams Standard implementation and polyfill

Sample project for demonstrating how to use Fetch API, Streams API, and NDJSON to improve user experience by streaming JSON objects from server to client in ASP.NET Core MVC

The code examples from «Riding the Jet Streams» presentation

Streams Style API of Data Processing Framework in Javascript

A window.fetch JavaScript polyfill.

A training on the new features from Java 8

Service Worker to convert Targa Image Format to PNG for browser support

My solutions for Deitel & Deitel - Java How to Program, 11/e (Early Objects).

A look into lambda expressions and streams using java8

🛡128-bit AES-GCM Encryption Stream for Web Browsers

Project based on Oracle's Introduction to Lambda Expressions and the Streams API MOOC.

Enhancing Data Processing in Browsers Using Streams – techcamp September 2018

A partir de la versión 8 de java la programación funcional se aplica con un estilo idiomático. Para entender la programación funcional es necesario volver a versiones anteriores.

A Node.js transform stream that gets S3 object keys and emits their actual content

Simple utils for working with Java Swing JTable via Java-8 streams.

Java Lambda functional programming with Streams written in Java 8

This repository contains code examples pertaining to new features in Java 8, primarily lambdas and streams.

Performing tests with new features in java 8.

The Stream API and the Collectors are two new additions to the JDK in Java 8 that allow the efficient processing of data using the map / filter / reduce approach. It brings many new patterns on the table, and ways to extend them. I learned how to connect streams to non-standard sources of data, how to build streams on other streams. The notion of Optional, introduced to handle the reduction of empty streams was also shown on advanced data processing patterns. And at last, collectors were shown, basic patterns first then advanced ones, where we build our own custom collector.

Provides Java Streams for the Google Drive API

gRPC-web example using WHATWG Fetch and Streams API