An Introduction to Programming Languages An Introduction to Programming Languages
Synthesis Lectures on Computer Science

An Introduction to Programming Languages

Simultaneous Learning in Multiple Coding Environments

    • $34.99
    • $34.99

Publisher Description

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.

In addition, this book:

Includes historical and philosophical foundations of computing and software development
Provides practical experiments and implementation-focused explanations
Establishes a rigorous foundation for programming across scientific, industrial, and educational domains

GENRE
Computers & Internet
RELEASED
2026
July 7
LANGUAGE
EN
English
LENGTH
476
Pages
PUBLISHER
Springer Nature Switzerland
SELLER
Springer Nature B.V.
SIZE
136.4
MB
Antivirus Engines Antivirus Engines
2024
An Introduction to Programming Languages: Simultaneous Learning in Multiple Coding Environments An Introduction to Programming Languages: Simultaneous Learning in Multiple Coding Environments
2023
Algorithms in Bioinformatics Algorithms in Bioinformatics
2021
Markov Chains Markov Chains
2017
Societal Impacts of Artificial Intelligence and Machine Learning Societal Impacts of Artificial Intelligence and Machine Learning
2024
Minimizing Data Movement and Parameter Count Across the Machine Learning Stack Minimizing Data Movement and Parameter Count Across the Machine Learning Stack
2026
Evaluation by Alignment Evaluation by Alignment
2026
Building Ethical and Secure AI Building Ethical and Secure AI
2026
Integration of AI Theory and Applications in Diverse Industries Integration of AI Theory and Applications in Diverse Industries
2026
Neural Symbolic Knowledge Graph Reasoning Neural Symbolic Knowledge Graph Reasoning
2026