Paul A. Gagniuc

An Introduction to Programming Languages: Simultaneous Learning in Multiple Coding Environments (eBook, PDF)

• Format: PDF

Produktbeschreibung

After a short introduction on the history of programming languages, this book provides step-by-step examples that are mirrored in seven programming languages, including C#, C++, Java, JavaScript, PERL, PHP, Python, Ruby, VB, and VBA. This mirrored approach for each of the examples represents the main feature of the book with the goal of gaining a better understanding of the advantages and disadvantages of programming and scripting languages. This approach also allows readers to learn the mechanics of short implementations and the algorithms involved, no matter what technology and programs are used in the future. Based on the growing need for programmers to be proficient across languages, the book is designed in such a way that no prior training or exposure to the programming languages is needed by readers.

In addition, this book:

• Provides step-by-step examples in programming languages, including Javascript, C++, Python, etc.
• Presents concepts that are accessible to an introductory audience
• Includes numerous examples throughout to facilitate learning and has been class tested for over 6 years

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 280
• Erscheinungstermin: 5. April 2023
• Englisch
• ISBN-13: 9783031232770
• Artikelnr.: 67730856

Autorenporträt

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.

Inhaltsangabe

Historical Notes.- Philosophy and Discussions.- Paradigms and Concepts.- Operators and Expressions.- Data Types and Statements.- Classic and Modern Variables.- Control Structures.- Functions.- Implementations and Experiments.