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Java (Computer program language) --- Software patterns --- departement Handelswetenschappen en Bedrijfskunde 08 --- programmeertalen --- Java

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R (Computer program language) --- Mathematical statistics --- -005.55 --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- GNU-S (Computer program language) --- Domain-specific programming languages --- Data processing --- Statistical methods --- Data processing. --- R (Computer program language). --- #SBIB:303H4 --- #SBIB:303H510 --- Informatica in de sociale wetenschappen --- Methoden sociale wetenschappen: statistische technieken, algemeen --- PXL-IT 2016 --- Data structures (Computer science) --- -Data processing

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Persistence-the ability of data to outlive an instance of a program-is central to modern applications. Hibernate, the most popular Java persistence tool, provides automatic and transparent object/relational mapping making it a snap to work with SQL databases in Java applications. Hibernate applications are cheaper, more portable, and more resilient to change. Because it conforms to the new EJB 3.0 and Java Persistence 1.0 standard, Hibernate allows the developer to seamlessly create efficient, scalable Java EE applications. "Java Persistence with Hibernate" explores Hibernate by developing an application that ties together hundreds of individual examples. You'll immediately dig into the rich programming model of Hibernate 3.2 and Java Persistence, working through queries, fetching strategies, caching, transactions, conversations, and more. You'll also appreciate the well-illustrated discussion of best practices in database design, object/relational mapping, and optimization techniques. In this revised edition of the bestselling "Hibernate in Action," authors Christian Bauer and Gavin King-the founder of the Hibernate project-cover Hibernate 3.2 in detail along with the EJB 3.0 and Java Persistence standard.

Computer software --- Java (Computer program language). --- Object-oriented programming (Computer science). --- Relational databases. --- Development. --- Hibernate (Electronic resource). --- departement Handelswetenschappen en Bedrijfskunde 08 --- programmeertalen --- Hibernate --- Java --- webapplicaties

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Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process.

Python (Computer program language) --- Programming languages (Electronic computers) --- Data mining. --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Computer languages --- Computer program languages --- Computer programming languages --- Machine language --- PXL-IT 2018 --- programmeertalen --- Python --- Statistical science --- Mathematical statistics --- Programming --- Python (Computer program language). --- Programming languages (Electronic computers). --- Python 3.6. --- Datenanalyse. --- Datenmanagement. --- Data Mining. --- Database searching --- Electronic data processing --- Languages, Artificial --- Scripting languages (Computer science) --- Python 3.6 --- Datenanalyse --- Datenmanagement --- Data Mining --- Data mining --- python --- data-analyse --- data mining

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Programming (Electronic computers) --- Study and teaching --- BASIC (Computer program language) --- PXL-IT 2015 --- programmeertaal Visual Basic 2013 --- Informatica --- Programmeertalen --- Programmeren --- Visual Basic --- Visual Studio.NET --- Software --- Programmeertaal --- Kind --- Verpleegkunde