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Microprocesadores. --- Hipermedia. --- Lenguajes de programación.
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Learn to use the Java Persistence API (JPA) and other related APIs as found in the Java EE 8 platform from the perspective of one of the specification creators. A one-of-a-kind resource, this in-depth book provides both theoretical and practical coverage of JPA usage for experienced Java developers. Authors Mike Keith, Merrick Schincariol and Massimo Nardone take a hands-on approach, based on their wealth of experience and expertise, by giving examples to illustrate each concept of the API and showing how it is used in practice. The examples use a common model from an overarching sample application, giving you a context from which to start and helping you to understand the examples within an already familiar domain. After completing Pro JPA 2 in Java EE 8, you will have a full understanding of JPA and be able to successfully code applications using its annotations and APIs. The book also serves as an excellent reference guide. You will: Use the JPA in the context of enterprise applications Work with object relational mappings (ORMs), collection mappings and more Build complex enterprise Java applications that persist data long after the process terminates Connect to and persist data with a variety of databases, file formats, and more Use queries, including the Java Persistence Query Language (JPQL) Carry out advanced ORM, queries and XML mappings Package, deploy and test your Java persistence-enabled enterprise applications.
Object-oriented databases. --- Java (Computer program language) --- Computer science. --- Computer programming. --- Programming languages (Electronic computers). --- Computer Science. --- Java. --- Programming Techniques. --- Programming Languages, Compilers, Interpreters. --- Computer languages --- Computer program languages --- Computer programming languages --- Machine language --- Electronic data processing --- Languages, Artificial --- Computers --- Electronic computer programming --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Informatics --- Science --- Programming --- Object-oriented programming languages --- JavaSpaces technology --- Object-oriented data bases --- Databases --- Object-oriented methods (Computer science) --- Java (Computer program language). --- Libros electrónicos --- Técnicas de programación --- Lenguajes de programación
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Provides an accessible approach to Bayesian data analysis, as material is explained clearly with concrete examples. The book begins with the basics, including essential concepts of probability and random sampling, and gradually progresses to advanced hierarchical modeling methods for realistic data.
Mathematical statistics --- Bayesian statistical decision theory. --- R (Computer program language) --- GNU-S (Computer program language) --- Domain-specific programming languages --- Bayes' solution --- Bayesian analysis --- Statistical decision --- Bayesian statistical decision theory --- Estadística bayesiana --- R (Lenguaje de programación) --- GNU-S (Lenguaje de programación) --- Lenguajes de programación --- Análisis bayesiano --- Bayes, Solución de --- Bayes, Teorema de --- Decisión bayesiana, Teoría de la --- Inferencia bayesiana --- Solución de Bayes --- Teorema de Bayes --- Teoría de la decisión estadística bayesiana --- Toma de decisiones (Estadística bayesiana) --- Toma de decisiones --- Estadística bayesiana.
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