Libros UCLV { BETA }

This manual contains configuration and operation guidelines to assist you with implementing and using our AlienVault SIEM. As the de facto standard in the world today, AlienVault has a large community of users with experience using AlienVault SIEM in numerous types of applications ranging from compliance to operations, government to control systems, finance to manufacturing. This community of active developers and users communicate through the forums found on AlienVault’s web site (http://www.alienvault.com). We encourage our customers to engage with this rich source of tactical expertise. Since AlienVault SIEM is a fully unified security management system you will find a great number of tools you are familiar with already integrated into the AlienVault technology. These tools are not only manageable through the AlienVault interface but, they are also tightly integrated with the other functional components of the system. AlienVault products additionally integrate with external security tools of all sorts to allow you to create a unified solution to fit your specific needs. AlienVault is stands behind the technology we create. As a company with roots in the Open Source community we understand the necessity for honesty and transparency. This is critically important when it comes to addressing the types of integration SIEM users undertake. The AlienVault team delivers the same level of commitment to its community that has led the technology to be adopted by more than half of all SIEM users worldwide.

Magazine digital de distribución mensual sobre Software Libre, Hacking y Programación. Este mes en Hackers & Developers... Y ahora ¿qué Framework PHP usaré? ..3, Creando una capa de abstracción con PHP y mysqli ..7, ¿Por qué Python?.. 14, Empezando con Google App Engine..19, The Hitchhiker Pythonits's Guide to the Galaxy..25, GNU/Linux & Servers: Tricks & Tips..31, Contribuyendo en el equipo de traducción al español de GNOME..34, ¿La crisis del software?.. 36, Las cuentas claras y el proceso de desarrollo concreto ..42, La Web Semántica y sus Ontologías ..45, U!.. 49.

Magazine digital de distribución mensual sobre Software Libre, Hacking y Programación Este mes en Hackers & Developers... Pásate a GNU/Linux con Arch Linux: Parte I..3, Guifi.net: la red abierta libre y neutral..10, La importancia del shell, vi y regex..14, Los impresionantes archivos .PO – l10n de GNOME..19, Google Maps API: Primeros Pasos..25, THREE.JS ¿va a hacer todo eso por mi?..32, Arquitectos y diseñadores, los roles opcionales..36, Programador: Si. Diseñador: ¡Ni de riesgos!..42, PSeInt: Una Invitación para entrar en el maravilloso mundo de la programación.. 44, ¿Qué son los Namespaces?..48, Manual de MVC: (1) FrontController..54, U!.. 63.

Magazine digital de distribución mensual sobre Software Libre, Hacking y Programación En ésta edición: Twitter Bootstrap: un elegante, intuitivo y poderoso framework..4, Web Scraping: excavando en la red..10, ¿Cómo empiezo con JavaScript?..17, Conociendo a DOM: Parte I..26, Manual de MVC: (3) Los objetos View..32, Mis primeros pasos con MongoDB..40, Introducción a Perl (Parte I)..45, Introducción al desarrollo dirigido por pruebas..51, IPv6, el presente.. 57, Pásate a GNU/Linux con Arch: Gestores de ventanas y escritorios..69, Invitación al proyecto GcalcTool: GNOME Calculator..79 Ubuntu Rookie: Toma 3..84.

Magazine digital de distribución mensual sobre Software Libre, Hacking y Programación En ésta edición: PEP8 de Python, Hal 9000 Junior. (Primera Parte), Pylint al rescate, Manual de MVC: (3) Controladores, Double Test con ZendFramework2, ¿Cómo crear aplicaciones Web PHP con EuropioEngine?, Manual de Perl (Parte II), Conociendo a DOM: Parte II, Pásate a GNU/Linux con Arch: Pacman, el gestor de paquetes, Explorando Mosh, Agilismo en palabras simples, De estudiante a programador

ANTLR is a parser generator that automates the construction of language recognizers. It is a program that writes other programs. From a formal language description, ANTLR generates a program that determines whether sentences conform to that language. By adding code snippets to the grammar, the recognizer becomes a translator. The code snippets compute output phrases based upon computations on input phrases. ANTLR is suitable for the simplest and the most complicated language recognition and translation problems. With each new release, ANTLR becomes more sophisticated and easier to use. ANTLR is extremely popular with 5,000 downloads a month and is included on all Linux and OS X distributions. Perhaps most importantly, ANTLR is much easier to understand and use than many other parser generators. It generates essentially what you would write by hand when building a recognizer and uses technology that mimics how your brain generates and recognizes language.

ANTLR v4 is a powerful parser generator that you can use to read, process, execute, or translate structured text or binary files. It’s widely used in academia and industry to build all sorts of languages, tools, and frameworks. Twitter search uses ANTLR for query parsing, with more than 2 billion queries a day. The languages for Hive and Pig and the data warehouse and analysis systems for Hadoop all use ANTLR. Lex Machina1 uses ANTLR for information extraction from legal texts. Oracle uses ANTLR within the SQL Developer IDE and its migration tools. The NetBeans IDE parses C++ with ANTLR. The HQL language in the Hibernate object-relational mapping framework is built with ANTLR.

This book gives you just the tools you’ll need to develop day-to-day language applications. You’ll be able to handle all but the really advanced or esoteric situations. This book explains how existing language applications work so you can build your own. To do so, we’re going to break them down into a series of well-understood and commonly used patterns. But, keep in mind hat this book is a learning tool, not a library of language implementations. You’ll see many sample implementations throughout the book, though. Samples make the discussions more concrete and provide excellent foundations from which to build new applications. It’s also important to point out that we’re going to focus on building applications for languages that already exist (or languages you design that are very close to existing languages).

Welcome to the Ubuntu Server Guide! Here you can find information on how to install and configure various server applications. It is a step- by-step, task-oriented guide for configuring and customizing your system. This guide assumes you have a basic understanding of your Ubuntu system. Some installation details are covered in Chapter 2, Installation [p. 3], but if you need detailed instructions installing Ubuntu please refer to the Ubuntu Installation Guide 1 .

The Java programming language is a general-purpose concurrent class-based object-oriented programming language, specifically designed to have as few implementation dependencies as possible. It allows application developers to write a program once and then be able to run it everywhere on the Internet. This book attempts a complete specification of the syntax and semantics of the language. We intend that the behavior of every language construct is specified here, so that all implementations will accept the same programs. Except for timing dependencies or other non-determinisms and given sufficient time and sufficient memory space, a program written in the Java programming language should compute the same result on all machines and in all implementations.

R data mining machine learning analytics

Chapter 1 Introduction This book introduces into using R for data mining. It presents many examples of various data mining functionalities in R and three case studies of real world applications. The supposed audience of this book are postgraduate students, researchers and data miners who are interested in using R to do their data mining research and projects. We assume that readers already have a basic idea of data mining and also have some basic experience with R. We hope that this book will encourage more and more people to use R to do data mining work in their research and applications. This chapter introduces basic concepts and techniques for data mining, including a data mining process and popular data mining techniques. It also presents R and its packages, functions and task views for data mining. At last, some datasets used in this book are described.

Chapter 1 Introduction Statistics is fundamentally concerned with the understanding of structure in data. One of the effects of the information-technology era has been to make it much easier to collect extensive datasets with minimal human intervention. Fortunately, the same technological advances allow the users of statistics access to much more powerful ‘calculators’ to manipulate and display data. This book is about the modern developments in applied statistics that have been made possible by the widespread availability of workstations with high-resolution graphics and ample computational power. Workstations need software, and the S 1 system developed at Bell Laboratories (Lucent Technologies, formerly AT&T) provides a very flex- ible and powerful environment in which to implement new statistical ideas. Lu- cent’s current implementation of S is exclusively licensed to the Insightful Cor- poration 2 , which distributes an enhanced system called S-PLUS . An Open Source system called R 3 has emerged that provides an independent implementation of the S language. It is similar enough that almost all the exam- ples in this book can be run under R .