Julia Quick Syntax Reference

Technical reviewed:

© 2019
Julia Quick Syntax Reference
A Pocket Guide for Data Science Programming
Authors: Lobianco, Antonello

https://www.apress.com/gp/book/9781484251898

Haskell Quick Syntax Reference

Technical reviewed:

© 2019
Haskell Quick Syntax Reference
A Pocket Guide to the Language, APIs, and Library
Authors: Nita, Stefania Loredana, Mihailescu, Marius

https://www.apress.com/gp/book/9781484245064

Introducing Markdown and Pandoc

Technical reviewed:

Introducing Markdown and Pandoc: Using Markup Language and Document Converter Paperback – August 20, 2019
by Thomas Mailund

https://www.apress.com/gp/book/9781484251485

Beginning Perl Programming

Technical reviewed:

© 2019
Beginning Perl Programming
From Novice to Professional
Authors: Rothwell, William \Bo\

https://www.apress.com/gp/book/9781484250549

WebAssembly in Action

Technical reviewed:

WebAssembly in Action
With examples using C++ and Emscripten

Gerard Gallant
November 2019 ISBN 9781617295744 448 pages

https://www.manning.com/books/webassembly-in-action

Programming with Types

Technical reviewed:

Programming with Types
Vlad Riscutia
MEAP began April 2019 Publication in November 2019

https://www.manning.com/books/programming-with-types

The Computer Science Activity Book

An exercise with my son.

The Computer Science Activity Book
24 Pen-and-Paper Projects to Explore the Wonderful World of Coding (No Computer Required!)
by Christine Liu and Tera Johnson

https://nostarch.com/csactivities

Get Programming with Haskell

Technical reviewed:

Get Programming with Haskell
Will Kurt
March 2018

https://www.manning.com/books/get-programming-with-haskell

Practical Haskell A Real World Guide to Programming

Technical reviewed:

Practical Haskell
A Real World Guide to Programming
Authors: Serrano, Alejandro
© 2019

https://www.apress.com/gp/book/9781484244791

Java 8 parallel streams pitfall

1.
All parallel streams use a common fork-join thread pool, and if you submit a long-running task, you effectively block all threads in the pool. Consequently, you block all other tasks that are using parallel streams.

2.
The default processing that occurs in such a Stream uses the ForkJoinPool.commonPool(), a Thread Pool shared by the entire application.

3.
This way we essentially force the parallel stream to have a ForkJoin as a parent thread, instead of a regular thread, so ForkJoinPool.commonPool is not used. Hooray!