Haskell in Depth (Manning)
Monday, 26 July 2021

This book explores the important language features and programming skills you’ll need to build production-quality software using Haskell. Along the way, Vitaly Bragilevsky provides interesting insights into why Haskell looks and works the way it does. Going beyond the basics of syntax and structure, this book opens up critical topics like advanced types, concurrency, and data processing.

<ASIN:161729540X>

 

Author: Vitaly Bragilevsky
Publisher: Manning
Date: July 2021
Pages: 664
ISBN: 978-1617295409
Print: 161729540X
Kindle: ‎B098PH3D1L
Audience: Developers interested in Haskell
Level: Intermediate/Advanced
Category: Other Languages

Topics covered:

  • Building applications, web services, and networking apps
  • Using sophisticated libraries like lens, singletons, and servant
  • Organizing projects with Cabal and Stack
  • Error-handling and testing
  • Pure parallelism for multicore processors

For recommendations of Haskell books see First Class Functional Programming Books in our Programmer's Bookshelf section.

 

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Artificial Intelligence, Machine Learning, and Deep Learning (Mercury Learning)

Author: Oswald Campesato
Publisher: Mercury Learning
Date: February 2020
Pages: 300
ISBN: 978-1683924678
Print: 1683924673
Kindle: B084P1K9YP
Audience: Developers interested in machine learning
Rating: 4
Reviewer: Mike James

Another AI/ML book - is there room for another one?



Visual Complex Analysis

Author:  Tristan Needham
Publisher: Clarendon Press
Pages: 616
ISBN: 978-0198534464
Print: 0198534469
Kindle: B0BNKJTJK1
Audience: The mathematically able and enthusiastic
Rating: 5
Reviewer: Mike James
What's complex about complex analysis?


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