From C++ Concurrency in Action, Second Edition by Anthony Williams
This article talks about how you can improve the responsiveness by separating concerns with concurrency.
From Modern Fortran by Milan Curcic
Stock price analysis and prediction has been an increasingly popular topic since the early days of high-level programming, and Fortran has been used in the bowels of many financial trading and banking systems, mainly thanks to its robustness, reliability, and efficiency. In this article, we’ll work with a dataset that is freely available, small enough to be easily downloaded, and yet large enough to demonstrate the power of Fortran arrays.
From Get Programming with Javaby Peggy Fisher
From Rust in Motion by Carol Nichols and Jake Goulding
Six questions with Naomi Ceder, author of The Quick Python Book, Third Edition.
Naomi Ceder earned a Ph.D in Classics, but, since 2001, has been learning, teaching, and using Python. An elected fellow of the Python Software Foundation, Naomi currently serves as chair of its board of directors. She also speaks internationally about the Python community, and on inclusion and diversity in technology in general. By day she leads a team of Python programmers for Dick Blick Art Materials, and in her spare time she enjoys sketching, knitting, and deep philosophical conversations with her dog.
From Get Programming with Python in Motion
By Ana Bell
From Classic Computer Science Problems in Python by David Kopec
From Haskell in Depth
By Vitaly Bragilevsky
From Docker in Action, Second Edition
By Jeff Nickoloff and Stephen Kuenzli
From Dependency Injection Principles, Practices, and Patterns by Steven van Deursen
This article discusses why Abstract Factories shouldn’t be used to create stateful Dependencies with a short lifestyle and why it’s generally better not to use Abstract Factories to select Dependencies based on runtime data.