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Foundations of Programming Languages / Kent D. Lee (2017)  

Public Titre : Foundations of Programming Languages Type de document : Guide/Manuel Auteurs : Kent D. Lee, Auteur Editeur : Springer International Publishing Année de publication : 2017 Importance : 382 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-319-70790-7 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Langages informatiques [Termes IGN] C++ [Termes IGN] Java (langage de programmation) [Termes IGN] langage à objets [Termes IGN] programmation informatique [Termes IGN] Python (langage de programmation) Résumé : (éditeur) This clearly written textbook provides an accessible introduction to the three programming paradigms of object-oriented/imperative, functional, and logic programming. Highly interactive in style, the text encourages learning through practice, offering test exercises for each topic covered. Review questions and programming projects are also presented, to help reinforce the concepts outside of the classroom. This updated and revised new edition features new material on the Java implementation of the JCoCo virtual machine. Topics and features: includes review questions and solved practice exercises, with supplementary code and support files available from an associated website; presents an historical perspective on the models of computation used in implementing the programming languages used today; provides the foundations for understanding how the syntax of a language is formally defined by a grammar; illustrates how programs execute at the level of assembly language, through the implementation of a stack-based Python virtual machine called JCoCo and a Python disassembler; introduces object-oriented languages through examples in Java, functional programming with Standard ML, and programming using the logic language Prolog; describes a case study involving the development of a compiler for the high level functional language Small, a robust subset of Standard ML. Undergraduate students of computer science will find this engaging textbook to be an invaluable guide to the skills and tools needed to become a better programmer. While the text assumes some background in an imperative language, and prior coverage of the basics of data structures, the hands-on approach and easy to follow writing style will enable the reader to quickly grasp the essentials of programming languages, frameworks, and architectures. Note de contenu : 1- Introduction 2- Syntax 3- Assembly Language 4- Object-Oriented Programming 5- Functional Programming 6- Compiling Standard ML 7- Logic Programming 8- Standard ML Type Inference Numéro de notice : 25808 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE Nature : Manuel informatique En ligne : https://doi.org/10.1007/978-3-319-70790-7 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95066

Data structures and algorithms with Python / Kent D. Lee (2015)  

Public Titre : Data structures and algorithms with Python Type de document : Guide/Manuel Auteurs : Kent D. Lee, Auteur ; Steve Hubbard, Auteur Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2015 Collection : Undergraduate Topics in Computer Science UTICS, ISSN 2197-1781 Importance : 363 p. ISBN/ISSN/EAN : 978-3-319-13072-9 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Informatique [Termes IGN] algorithmique [Termes IGN] modèle logique de données [Termes IGN] programmation informatique [Termes IGN] Python (langage de programmation) Résumé : (Editeur) This clearly structured and easy to read textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently. Project-oriented and classroom-tested, the book presents a number of important algorithms supported by motivating examples that bring meaning to the problems faced by computer programmers. The idea of computational complexity is also introduced, demonstrating what can and cannot be computed efficiently so that the programmer can make informed judgements about the algorithms they use. The text assumes some basic experience in computer programming and familiarity in an object-oriented language, but not necessarily with Python. Topics and features: Includes both introductory and advanced data structures and algorithms topics, with suggested chapter sequences for those respective courses provided in the preface Provides learning goals, review questions and programming exercises in each chapter, as well as numerous illustrative examples Offers downloadable programs and supplementary files at an associated website, with instructor materials available from the author Presents a primer on Python for those coming from a different language background Reviews the use of hashing in sets and maps, along with an examination of binary search trees and tree traversals, and material on depth first search of graphs Discusses topics suitable for an advanced course, such as membership structures, heaps, balanced binary search trees, B-trees and heuristic search Students of computer science will find this clear and concise textbook to be invaluable for undergraduate courses on data structures and algorithms, at both introductory and advanced levels. The book is also suitable as a refresher guide for computer programmers starting new jobs working with Python. Numéro de notice : 26287 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE/MATHEMATIQUE Nature : Manuel informatique DOI : 10.1007/978-3-319-13072-9 En ligne : https://doi.org/10.1007/978-3-319-13072-9 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94946

Python Programming Fundamentals / Kent D. Lee (2014)  

Public Titre : Python Programming Fundamentals Type de document : Guide/Manuel Auteurs : Kent D. Lee, Auteur Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2014 Importance : 241 p. ISBN/ISSN/EAN : 978-1-4471-6642-9 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Langages informatiques [Termes IGN] exercice [Termes IGN] interface graphique [Termes IGN] langage de programmation [Termes IGN] Python (langage de programmation) Résumé : (éditeur) This easy-to-follow and classroom-tested textbook guides the reader through the fundamentals of programming with Python, an accessible language which can be learned incrementally. Features: incudes numerous examples and practice exercises throughout the text, with additional exercises, solutions and review questions at the end of each chapter; highlights the patterns which frequently appear when writing programs, reinforcing the application of these patterns for problem-solving through practice exercises; introduces the use of a debugger tool to inspect a program, enabling students to discover for themselves how programs work and enhance their understanding; presents the Tkinter framework for building graphical user interface applications and event-driven programs; provides instructional videos and additional information for students, as well as support materials for instructors, at an associated website. Note de contenu : Introduction 1- Decision Making 2- Repetitive Tasks 3- Using Objects 4- Defining Functions 5- Event-Driven Programming 6- Defining Classes Numéro de notice : 25775 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE Nature : Manuel informatique En ligne : https://doi.org/10.1007/978-1-4471-6642-9 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94972