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Packt | Mastering Haskell Programming [FCO]

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Packt | Mastering Haskell Programming [FCO] (Size: 1.43 GB)
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  01 - The Course Overview.mp4 45.5 MB
  02 - Installation and Setup.mp4 39.82 MB
  03 - IO as a -Sin Bin-.mp4 52.02 MB
  04 - Exception Handling.mp4 34.58 MB
  05 - Fewer Sins Using the Free Monad.mp4 47.95 MB
  06 - Benign Side-Effects Using unsafePerformIO.mp4 24.14 MB
  07 - Simple Streaming Using Lazy IO.mp4 32.12 MB
  08 - Pure Streaming Using Lazy Lists.mp4 28.5 MB
  09 - Composing Finite and Infinite Streams.mp4 35.67 MB
  10 - Who's Driving - Push, Pull… or Both!.mp4 35.41 MB
  11 - Transforming Effectful Streams Using the Free Monad.mp4 28.98 MB
  12 - Events, Behaviors, and Signals.mp4 28.23 MB
  13 - Local and Global States.mp4 31.39 MB
  14 - Higher-Order Signals and Time Leaks.mp4 46.15 MB
  15 - Pure, Monadic, and Arrowized APIs.mp4 47.09 MB
  16 - Continuous, Synchronous, Total Time.mp4 45.57 MB
  17 - Parallel and Concurrent Algorithms.mp4 41.73 MB
  18 - Manual Parallelism Using the Free Applicative.mp4 39.77 MB
  19 - Laziness and Parallelism.mp4 32.2 MB
  20 - Purity and Parallelism.mp4 49.94 MB
  21 - Deterministic Communication Using IVars.mp4 48.72 MB
  22 - Deterministic Collaboration Using LVars.mp4 37.09 MB
  23 - Manual Concurrency Using forkIO.mp4 17.16 MB
  24 - Taming Asynchronous APIs Using ContT.mp4 43.03 MB
  25 - Opportunistic Concurrency Using Async.mp4 18.59 MB
  26 - Laziness and Concurrency.mp4 30.86 MB
  27 - Manual Signaling Using MVars.mp4 35.2 MB
  28 - Automatic Signaling Using TVars.mp4 46.59 MB
  29 - Effect Tracking and Concurrency.mp4 38.2 MB
  30 - Combinator Libraries.mp4 41.15 MB
  31 - Monad Transformers.mp4 38.32 MB
  32 - Nesting Architectures.mp4 33.52 MB
  33 - Precise Types, Program Boundaries, and Microservices.mp4 30.64 MB
  34 - Optimizing Microservice Requests Using Haxl.mp4 28.55 MB
  35 - Distributed Concurrent Programming Using Cloud Haskell.mp4 31.26 MB
  36 - CRDTs, Type Class Laws, and Eventual Consistency.mp4 176.85 MB
  ▲ 42 total files

Description


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By : Samuel Gélineau
Released : February 28, 2017
Torrent Contains : 42 Files, 1 Folders
Course Source : https://www.packtpub.com/application-development/mastering-haskell-programming-video

Harness the power of functional programming with advanced Haskell concepts

Video Details

ISBN 9781786465016
Course Length 6 hours 4 minutes

Table of Contents

• Tracking Side-Effects Using IO
• Chaining Side-Effects Using Streaming
• Interactive Applications Using Functional Reactive Programming
• Parallel Programming in Haskell
• Concurrent Programming in Haskell
• Distributed Programming in Haskell

Learn

• Find out how to structure larger Haskell programs
• Use the Parsec library to easily parse structured inputs
• Get acquainted with the process of writing an interpreter, a type checker, and a compiler
• See how to model your problem domain with precise types and how to reap the benefits of doing so
• Work with Deterministic Communication using IVars and Deterministic Collaboration using LVars
• Understand how to do concurrent and distributed programming in Haskell
• Know how to cope with the uncertainties of communication in a distributed application

About

Haskell is a lazy, purely-functional programming language with a very precise type system. Each of these features make Haskell quite different from mainstream object-oriented programming languages, which is where Haskell's appeal and its difficulty lie.

In this course, you’ll discover different ways to structure interactions between the program and the outside world. We’ll look at some subtler aspects of the IO monad, such as lazy IO and unsafePerformIO. In addition to the IO monad, we’ll also check out two other structured forms of interaction: streaming libraries and functional reactive programming.

Then we explore parallel, concurrent, and distributed programming. Thanks to purity, Haskell is especially well-suited for the first two, and so there are a number of approaches to cover. As for distributed programming, we focus on the idea of splitting a large monolithic program into smaller microservices, asking whether doing so is a good idea. We’ll also consider a different way of interacting with other microservices, and explore an alternative to microservices.

By the end of this course, you’ll have an in-depth knowledge of various aspects of Haskell, allowing you to make the most of functional programming in Haskell.

Style and Approach

This course includes in-depth content balanced with tutorials that put theory into practice. It will give you both an understanding and practical experience, enabling you to indulge in the art of functional programming with Haskell while taking you through core concepts.

Features:

• Dive into various important features such as IO, distributed programming, and Functional Reactive Programming
• Learn the best practices in Haskell and alternative solutions to real-world situations
• Explore powerful parallel algorithms, and build interactive applications using functional reactive programming

Author

Samuel Gélineau

Samuel Gélineau is a Haskell developer with more than 10 years of experience in Haskell Programming. He has been blogging about Haskell for about the same time. He has given many talks at Montreal’s Haskell Meetup, and is now co-organizer.

Samuel is a big fan of functional programming, and spends an enormous amount of time answering Haskell questions on the Haskell subreddit, and as a result has a good idea of the kind of questions people have about Haskell, and has learned how to answer those questions clearly, even when the details are complicated. Apart from Haskell, he is a fan of Elm, Agda, and Idris, and also Rust.



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