Beginning Database-Driven Application Development in Java™ EE: Using GlassFish™ focuses on the open source GlassFish persistence engine. This book shows Java programmers how to develop applications utilizing relational database technologies with examples using Oracle and MySQL and the GlassFish application development framework and deployment platform all based on Java EE. <ul>
<li>The book explains in detail how you can organize your Java EE solution into a multilayer architecture, placing most emphasis on how to implement the persistence and database tiers of an application. </li> <li>Through many examples, this book shows how you can efficiently use the Java Persistence features available in the Java EE platform. Find out how you can greatly simplify the task of building the persistence layer of your Java EE application by moving some application logic into the underlying database, utilizing database views, stored programs, and triggers. </li> <li>The book also explains how to deploy Java EE applications to GlassFish, a free, open source Java EE 5–compliant application server. </li> </ul>

Beginning Database-Driven Application Development in Java EE: Using GlassFish (Expert's Voice in Open Source)

Computers & Technology

Vasiliev, Yuli

Programming

Apress

An introduction to natural language processing with Python using spaCy, a leading Python natural language processing library. Natural Language Processing with Python is an introduction to natural language processing (NLP), the task of converting human language into data that a computer can process. The book uses spaCy, a leading Python library for NLP, to guide readers through common NLP tasks related to generating and understanding human language with code. It addresses problems like understanding a user's intent, continuing a conversation with a human, and maintaining the state of a conversation. It also teaches you how to connect an NLP script to a messaging app, store user data in a database to fill in a form, and customize your own statistical models to improve text processing. This book will give you the foundation you need to build your own chatbots, ticket-ordering apps, text-condensing scripts, and more.

Natural Language Processing with Python and spaCy: A Practical Introduction

Computer Science

No Starch Press

A hands-on, real-world introduction to data analysis with the Python programming language, loaded with wide-ranging examples.\nPython is an ideal choice for accessing, manipulating, and gaining insights from data of all kinds. Python for Data Science introduces you to the Pythonic world of data analysis with a learn-by-doing approach rooted in practical examples and hands-on activities. You’ll learn how to write Python code to obtain, transform, and analyze data, practicing state-of-the-art data processing techniques for use cases in business management, marketing, and decision support.\nYou will discover Python’s rich set of built-in data structures for basic operations, as well as its robust ecosystem of open-source libraries for data science, including NumPy, pandas, scikit-learn, matplotlib, and more. Examples show how to load data in various formats, how to streamline, group, and aggregate data sets, and how to create charts, maps, and other visualizations. Later chapters go in-depth with demonstrations of real-world data applications, including using location data to power a taxi service, market basket analysis to identify items commonly purchased together, and machine learning to predict stock prices.

Python for Data Science: A Hands-On Introduction

Programming Languages

This practical book is built entirely around example code, covering the most popular and up-to-date topics on using PHP in conjunction with Oracle. The book explains in extensive detail how to build robust, efficient, and secure PHP/Oracle solutions. Although this book covers only the most popular and up-to-date topic areas on the use of PHP in conjunction with Oracle, the author does not make any assumption about the skill level of the reader. Packed with information in an easy-to-read format, the book is ideal for any PHP developer who deals with Oracle.

PHP Oracle Web Development: Data processing, Security, Caching, XML, Web Services, and Ajax

Certification

Packt Publishing

This book is a quick guide to getting started with Oracle Business Intelligence SE platform that will answer common business questions and help you make quick business decisions. The examples in this book will help you prepare the database for analysis and create business reports in no time. If you are an business analyst, a report builder, a DBA, or an application developer who wants to learn how to use the Oracle Business Intelligence platform for analysis and reporting, this is the perfect book for you. Previous knowledge of Oracle Business Intelligence tools is not required, but you should have a competent grasp of using an Oracle Database.

Oracle Business Intelligence: The Condensed Guide to Analysis and Reporting

Databases & Big Data