Видавець: Packt Publishing
Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools. As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.
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PHP Web 2.0 Mashup Projects: Practical PHP Mashups with Google Maps, Flickr, Amazon, YouTube, MSN Search, Yahoo!. Create practical mashups in PHP grabbing and mixing data from Google Maps, Flickr, Amazon, YouTube, MSN Search, Yahoo!, Last.fm, and 411Sync.com

Shu-Wai Chow

A mashup is a web page or application that combines data from two or more external online sources into an integrated experience. This book is your entryway to the world of mashups and Web 2.0. You will create PHP projects that grab data from one place on the Web, mix it up with relevant information from another place on the Web and present it in a single application. This book is made up of five real-world PHP projects. Each project begins with an overview of the technologies and protocols needed for the project, and then dives straight into the tools used and details of creating the project: Look up products on Amazon.Com from their code in the Internet UPC database A fully customized search engine with MSN Search and Yahoo! A personal video jukebox with YouTube and Last.FM Deliver real-time traffic incident data via SMS and the California Highway Patrol! Display pictures sourced from Flickr in Google mapsAll the mashup applications used in the book are built upon free tools and are thoroughly explained. You will find all the source code used to build the mashups used in this book in the code download section for this book.

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Windows Forensics Analyst Field Guide. Engage in proactive cyber defense using digital forensics techniques

Muhiballah Mohammed

In this digitally driven era, safeguarding against relentless cyber threats is non-negotiable. This guide will enable you to enhance your skills as a digital forensic examiner by introducing you to cyber challenges that besiege modern entities. It will help you to understand the indispensable role adept digital forensic experts play in preventing these threats and equip you with proactive tools to defend against ever-evolving cyber onslaughts.The book begins by unveiling the intricacies of Windows operating systems and their foundational forensic artifacts, helping you master the art of streamlined investigative processes. From harnessing opensource tools for artifact collection to delving into advanced analysis, you’ll develop the skills needed to excel as a seasoned forensic examiner. As you advance, you’ll be able to effortlessly amass and dissect evidence to pinpoint the crux of issues. You’ll also delve into memory forensics tailored for Windows OS, decipher patterns within user data, and log and untangle intricate artifacts such as emails and browser data.By the end of this book, you’ll be able to robustly counter computer intrusions and breaches, untangle digital complexities with unwavering assurance, and stride confidently in the realm of digital forensics.

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Hands-On Q-Learning with Python. Practical Q-learning with OpenAI Gym, Keras, and TensorFlow

Nazia Habib

Q-learning is a machine learning algorithm used to solve optimization problems in artificial intelligence (AI). It is one of the most popular fields of study among AI researchers.This book starts off by introducing you to reinforcement learning and Q-learning, in addition to helping you become familiar with OpenAI Gym as well as libraries such as Keras and TensorFlow. A few chapters into the book, you will gain insights into model-free Q-learning and use deep Q-networks and double deep Q-networks to solve complex problems. This book will guide you in exploring use cases such as self-driving vehicles and OpenAI Gym’s CartPole problem. You will also learn how to tune and optimize Q-networks and their hyperparameters. As you progress, you will understand the reinforcement learning approach to solving real-world problems. You will also explore how to use Q-learning and related algorithms in scientific research. Toward the end, you’ll gain insight into what’s in store for reinforcement learning.By the end of this book, you will be equipped with the skills you need to solve reinforcement learning problems using Q-learning algorithms with OpenAI Gym, Keras, and TensorFlow.

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SketchBook Pro Digital Painting Essentials. Explore the styles and capabilities of Sketchbook Pro with this excellent guide to the essentials of digital painting. In no time, you'll be bringing your own unique creativity to the virtual easel or drawing pad

Gil Robles

Sketchbook Pro is a professional grade painting app that is easy to use and which helps you create digital art that looks like paintings created using ink and color. Using Sketchbook Pro, you can transform your digital art into true masterpieces that resemble work done using traditional mediums.SketchBook Pro Digital Painting Essentials will show you how to transform your digital art into true masterpieces. This book will guide you through the many tools and options available in Sketchbook Pro such as the symmetry tool, layer editor, and blend modes to create images that look as though they were done by hand using traditional tools and mediums. This unique book offers inspiration with hands-on techniques and gives you an insight into a professional artist's mind.Starting with an overview of the program, this book will help you customize and set your preferences to help you produce the best possible images for use on the Web or for print. You will be able to look over the author's shoulder as he demonstrates the use of the tools to create artwork that looks like it was painted or inked. This book will then show you how you can draw basic illustrations and then how to create acrylic paintings. You will also learn about file saving options; which ones are best for what you intend to do with the artwork. The book will also show you how to export the images you've created to other software and will give you tips and tricks that will help you make the most out of Sketchbook Pro. SketchBook Pro Digital Painting Essentials will give you an extensive overview complete with supporting imagery of how each piece of art was made, and by the end of this book, you will have created multiple drawings using Sketchbook Pro.

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LLVM Essentials. Become familiar with the LLVM infrastructure and start using LLVM libraries to design a compiler

Mayur Pandey, Suyog Sarda, David Farago

LLVM is currently the point of interest for many firms, and has a very active open source community. It provides us with a compiler infrastructure that can be used to write a compiler for a language. It provides us with a set of reusable libraries that can be used to optimize code, and a target-independent code generator to generate code for different backends. It also provides us with a lot of other utility tools that can be easily integrated into compiler projects.This book details how you can use the LLVM compiler infrastructure libraries effectively, and will enable you to design your own custom compiler with LLVM in a snap.We start with the basics, where you’ll get to know all about LLVM. We then cover how you can use LLVM library calls to emit intermediate representation (IR) of simple and complex high-level language paradigms. Moving on, we show you how to implement optimizations at different levels, write an optimization pass, generate code that is independent of a target, and then map the code generated to a backend. The book also walks you through CLANG, IR to IR transformations, advanced IR block transformations, and target machines. By the end of this book, you’ll be able to easily utilize the LLVM libraries in your own projects.