Written March 10, 2012 updated: April 16, 2012 Introduction Let's make a concurrent web scraper! We will use Haskell, because it allows easy concurrency. We will use the HXT library to do the scraping. If you want to follow the HXT bits, you should be comfortable with Arrows in Haskell. If you're not, take a moment to read up on Arrows. If you don't care about the scraping bits, jump straight to t
Read it now on the OâReilly learning platform with a 10-day free trial. OâReilly members get unlimited access to books, live events, courses curated by job role, and more from OâReilly and nearly 200 top publishers. Book description If you're one of the many developers uncertain about concurrent and multithreaded development, this practical cookbook will change your mind. With more than 75 code-ri
Today we are excited to reveal early preview releases of two major projects the Akka team has been involved in to improve data streaming on the JVM: Akka Streams and Reactive Streams. While the projects are related, we would like to spend a little time discussing how each is important to Typesafe and the Akka community. Both of these efforts address major challenges we have been seeing from develo
A collection of asynchronous patterns for nodejs and browsers. Made by Olivier Wietrich. Emitter All the projects below are based on Emitter in order to be consistent and easy to use and learn. component/emitter An implementation of the publish/subscribe pattern similar to the EventEmitter of nodejs. An emitter is really great to decouple your code. It allows you to define an action and to execute
Mooreâs law is over. Modern computation is exploited by running processes on multiple cores. Ruby has always ignored this trend, and the community didnât put enough attention on this topic. Rubyâs model for concurrency is based on threads. It was typical approach for object oriented languages, designed in the 90s. A thread is sequence of instructions that can be scheduled and executed in the conte
It's time someone finally wrote a proper review of Simon Marlow's amazing book, Parallel and Concurrent Programming in Haskell. I am really not the right person to tackle this job objectively, because I have known Simon for 20 years and I currently happen to be his boss at Facebook. Nevertheless, I fly my flag of editorial bias proudly, and in any case a moment's glance at Simon's book will convin
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Iâm working on a modular random level generator, the essence of which uses similar logic to that of a roguelike. Last month I benchmarked the effectiveness of various programming languages at a simplified level generation algorithm that roughly mimics the demands of my actual algorithm, using single-threaded code. Iâm now running the same benchmark with concurrent code, to examine how easy the lan
concurrent (noun): Archaic. a rival or competitor. â dictionary.com Two lines that do not intersect are called parallel lines. â Wikipedia In this piece, I disagree with Joe Armstrong and Rob Pike, basing my argument on the differences between vending machines and gift boxes (illustrated with drawings carefully prepared in Microsoft Paint). Parallelism and concurrency are both very fashionable not
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