Algorithmique Et Programmation Objet Java En Resume 200 Exercices Corriges
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Algorithmique et programmation objet - Java en résumé - 200 exercices corrigés
Author: Mickaël Kerboeuf
language: fr
Publisher: Editions Ellipses
Release Date: 2020-05-26
Ce livre rassemble 200 exercices pratiques commentés et corrigés de programmation avec Java. Ces exercices illustrent d'une part les points essentiels de la programmation objet, et d'autre part les structures de données fondamentales qui sous-tendent l'algorithmique traditionnelle. Ce livre est destiné à toute personne désireuse de mettre en pratique, d'acquérir ou de consolider des connaissances en algorithmique et structures de données, dans le cadre particulier de la programmation orientée objet avec le langage Java.
Java For Dummies
The top-selling beginning Java book is now fully updated for Java 7! Java is the platform-independent, object-oriented programming language used for developing web and mobile applications. The revised version offers new functionality and features that have programmers excited, and this popular guide covers them all. This book helps programmers create basic Java objects and learn when they can reuse existing code. It's just what inexperienced Java developers need to get going quickly with Java 2 Standard Edition 7.0 (J2SE 7.0) and Java Development Kit 7.0 (JDK 7). Explores how the new version of Java offers more robust functionality and new features such as closures to keep Java competitive with more syntax-friendly languages like Python and Ruby Covers object-oriented programming basics with Java, code reuse, the essentials of creating a Java program using the new JDK 7, creating basic Java objects, and new Eclipse features A companion web site offers all code from the book and bonus chapters Written by a Java trainer, Java For Dummies, 5th Edition will enable even novice programmers to start creating Java applications quickly and easily.
Neural Networks
Author: Gérard Dreyfus
language: en
Publisher: Springer Science & Business Media
Release Date: 2005-11-25
Neural networks represent a powerful data processing technique that has reached maturity and broad application. When clearly understood and appropriately used, they are a mandatory component in the toolbox of any engineer who wants make the best use of the available data, in order to build models, make predictions, mine data, recognize shapes or signals, etc. Ranging from theoretical foundations to real-life applications, this book is intended to provide engineers and researchers with clear methodologies for taking advantage of neural networks in industrial, financial or banking applications, many instances of which are presented in the book. For the benefit of readers wishing to gain deeper knowledge of the topics, the book features appendices that provide theoretical details for greater insight, and algorithmic details for efficient programming and implementation. The chapters have been written by experts and edited to present a coherent and comprehensive, yet not redundant, practically oriented introduction.