When Functional Programming Meets C++

Six Questions for Ivan Čukić, author of Functional Programming in C++ 

Ivan Čukić has been coding since 1998, and is now a core developer in C++ at KDE. He teaches modern C++ and functional programming at the Faculty of Mathematics at the University of Belgrade.

By Frances Lefkowitz

Modern Data Solutions with Python

From Python for Big Datasets by John T. Wolohan

Models as a Tool for Deeper Insight

By Dan Bergh Johnsson, Daniel Deogun, and Daniel Sawano

This article delves into DDD and models: what they are, how they relate, and how models work within Domain-Driven Design.

Tracking an Evolving Language

Six Questions for Jon Skeet, author of C# In Depth, 4th Edition

Jon Skeet (@jonskeet) is a senior software engineer at Google, London and a recognized authority on Java and C#. He is the top contributor to Stack Overflow.

The Towers of Hanoi: six questions with David Kopec

Six Questions for David Kopec, author of Classic Computer Science Problems in Python

David Kopec is Assistant Professor in computer science at Vermont’s Champlain College and author of two books in the Classic Problems series. If you want more, find @davekopec on Twitter.

Rust’s Borrowing by Example

From Rust in Action by Tim Mcnamara

Our strategy for this article is to use an example that compiles, then make a minor change that triggers an error which appears to emerge without any adjustment to the program’s flow. Working through the fixes to those issues should make the concepts more complete.

Constraint-Satisfaction Problems in Python

From Classic Computer Science Problems in Python by David Kopec

A large number of problems which computational tools solve can be broadly categorized as constraint-satisfaction problems (CSPs). CSPs are composed of variables with possible values which fall into ranges known as domains. Constraints between the variables must be satisfied in order for constraint-satisfaction problems to be solved. Those three core concepts—variables, domains, and constraints—are simple to understand, and their generality underlies the wide applicabilit

Analyzing Stock Price Time Series with Fortran Arrays, Part 3

From Modern Fortran by Milan Curcic

In this part, we’ll conclude the article by using built-in functions and whole-array arithmetic to identify risky stocks, and find good times to buy and sell.

Start Programming with TypeScript Today!

From TypeScript Quickly by Yakov Fain and Anton Moiseev


Develop Voice-First

From Voice-First Development by Ann Thymé-Gobbel, Ph.D. and Charles R. Jankowski Jr., Ph.D.


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