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An Introduction to Programming Languages: Synthesis Lectures on Computer Science

Autor Paul A. Gagniuc
en Limba Engleză Hardback – 9 aug 2026
This book presents a unique comparative framework that teaches programming through parallel exposure to multiple languages. Rather than focusing on a single syntax, this book reveals the universal principles underlying modern software development by examining mirrored implementations across thirteen programming environments, including C++, C#, Java, JavaScript, Python, PHP, Ruby, Visual Basic, VBA, Rust, Go, Ada, and Perl. This Second Edition expands the comparative model with new chapters on runtime behavior, memory models, concurrency, error handling, security, browser environments, and programming in the age of artificial intelligence. Through carefully structured examples and conceptual discussions, the author connects the evolution of computing with the practical realities of modern software engineering. Designed for students, researchers, engineers, and educators, the book develops cross-language competence, conceptual clarity, and adaptability to rapidly evolving technological environments.
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Specificații

ISBN-13: 9783032268044
ISBN-10: 3032268044
Pagini: 480
Dimensiuni: 173 x 246 x 32 mm
Greutate: 0.92 kg
Ediția:Second Edition 2026
Editura: Springer
Colecția Synthesis Lectures on Computer Science
Seria Synthesis Lectures on Computer Science


Notă biografică

Paul A. Gagniuc, PhD, is an Associate Professor of Bioinformatics and a Professor of Programming Languages at University Politehnica of Bucharest in Romania. He obtained his doctorate in Genetics at the University of Bucharest. Dr. Gagniuc is also an Academic Editor at PLoS ONE and a proactive reviewer for several well-known scientific journals. He has published numerous high-profile scientific articles and is the recipient of several awards for exceptional scientific results.

Cuprins

Historical Notes.- Philosophy and Discussions.- Paradigms and Concepts.- Operators and Expressions.- Data Types and Statements.- Variables & Immutability.- Control Structures.- Concurrency Models.- Tooling, Testing & CI.- Functions & Modularization.- Data Pipelines & AI¿Ready Workflows.- Implementations and Experiments.- Capstone Project & Further Resources.