Nmap Essentials. Harness the power of Nmap, the most versatile network port scanner on the planet, to secure large scale networks

David Shaw

Managing eZ Publish Web Content Management Projects. Strategies, best practices, and techniques for implementing eZ publish open-source CMS projects to delight your clients

Martin Bauer, eZ Systems as

open-source CMS (content management system) and development framework with functionality for web publishing, intranets, e-commerce, extranets, and web portals.In this book, Martin Bauer of designit.com.au an eZ publish Silver partner, teaches you how to successfully manage and implement an eZ publish web content management project. He shows you how to produce quality results in a repeatable manner with the minimum of effort, and end up with eZ publish solutions that will delight your clients.The book presents strategies, best practices, and techniques for all steps of your eZ publish project, starting from client requirements, through planning, information architecture and content modeling, design considerations, and right up to deployment, client training, maintenance, support, and upgrades.

Advanced Deep Learning with R. Become an expert at designing, building, and improving advanced neural network models using R

Bharatendra Rai

Deep learning is a branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data. Advanced Deep Learning with R will help you understand popular deep learning architectures and their variants in R, along with providing real-life examples for them. This deep learning book starts by covering the essential deep learning techniques and concepts for prediction and classification. You will learn about neural networks, deep learning architectures, and the fundamentals for implementing deep learning with R. The book will also take you through using important deep learning libraries such as Keras-R and TensorFlow-R to implement deep learning algorithms within applications. You will get up to speed with artificial neural networks, recurrent neural networks, convolutional neural networks, long short-term memory networks, and more using advanced examples. Later, you'll discover how to apply generative adversarial networks (GANs) to generate new images; autoencoder neural networks for image dimension reduction, image de-noising and image correction and transfer learning to prepare, define, train, and model a deep neural network. By the end of this book, you will be ready to implement your knowledge and newly acquired skills for applying deep learning algorithms in R through real-world examples.

Microsoft Dynamics GP 2010 Reporting. Create and manage business reports with Dynamics GP

Chris Liley, Christopher Liley, David Duncan

Resources such as the book you now hold in your hand are critical to taking the extra step in uncovering the trends locked deep within your data. Not only will this book offer insight into the many reporting tools currently available for GP, it will also offer a unique perspective on how each reporting tool can be used to meet specific challenges faced by your organization- Errol Schoenfish, a member of the Microsoft Dynamics community for over 24 yearsMicrosoft Dynamics GP 2010 is a sophisticated Enterprise Resource Planning (ERP) system with a multitude of features and options. Microsoft Dynamics GP enables you to create and manage a variety of reports that help small and mid-size businesses effectively manage their financial and operational data.This book will show you how to create and manage reports, know what tools to use and when, how to use them and where to find the data based on how it's being entered into the system with Dynamics GP.This book will empower you with the tools and reports necessary to use Dynamics GP data in making key business decisions. The book addresses the many challenges and frustrations a company may face when preparing to build new reports. Then it moves on to explain how to find your data in the GP system and company databases. The book then dives deep into topics such as SmartLists, SL Builder and Excel Report Builder, Report Writer, SSRS Report Library, and Analysis Cubes Design and Management Reporter amongst others. With this knowledge in hand, you will be capable of selecting the most effective tool for the current reporting environment.

ArchiCAD 19 - The Definitive Guide. Dive into the wonderful world of Building Information Modeling (BIM) to become a productive ArchiCAD user

Adam R Rendek, Scott H MacKenzie

Learning D. Leverage the modern convenience and modelling power of the D programming language to develop software with native efficiency

Michael Parker

D is a modern programming language that is both powerful and efficient. It combines multiple paradigms in a way that opens up a whole new world of software design. It is used to develop both desktop and web applications, with future targets including mobile, and is available on multiple platforms. It is familiar to anyone with some experience in one or more of the C-family languages. However, hidden in the similarities are several differences that can be surprising when trying to apply common idioms from other languages. When learning D on your own, this can make it more time-consuming to master. In order to make the most of the language and become an idiomatic D programmer, it’s necessary to learn how to think in D.This book familiarizes you with D from the ground up, with a heavy focus on helping you to avoid surprises so that you can take your D knowledge to the next level more quickly and painlessly.Your journey begins with a taste of the language and the basics of compiling D programs with DMD, the reference D compiler developed by Digital Mars, and DUB, a community-developed build utility and package manager. You then set out on an exploration of major language features. This begins with the fundamentals of D, including built-in types, conditionals, loops and all of the basic building-blocks of a D program, followed by an examination of D’s object-oriented programming support. You’ll learn how these features differ from languages you may already be familiar with. Next up are D’s compile-time features, such as Compile-Time Function Evaluation and conditional compilation, then generic programming with templates. After that, you’ll learn the more advanced features of ranges and functional pipeline programming. To enhance your D experience, you are next taken on a tour of the D ecosystem and learn how to make D interact with C. Finally, you get a look at D web development using the vibe.d project and the book closes with some handy advice on where to go next.

Building AI Applications with ChatGPT APIs. Master ChatGPT, Whisper, and DALL-E APIs by building ten innovative AI projects

Martin Yanev

Combining ChatGPT APIs with Python opens doors to building extraordinary AI applications. By leveraging these APIs, you can focus on the application logic and user experience, while ChatGPT’s robust NLP capabilities handle the intricacies of human-like text understanding and generation.This book is a guide for beginners to master the ChatGPT, Whisper, and DALL-E APIs by building ten innovative AI projects. These projects offer practical experience in integrating ChatGPT with frameworks and tools such as Flask, Django, Microsoft Office APIs, and PyQt.Throughout this book, you’ll get to grips with performing NLP tasks, building a ChatGPT clone, and creating an AI-driven code bug fixing SaaS application. You’ll also cover speech recognition, text-to-speech functionalities, language translation, and generation of email replies and PowerPoint presentations. This book teaches you how to fine-tune ChatGPT and generate AI art using DALL-E APIs, and then offers insights into selling your apps by integrating ChatGPT API with Stripe. With practical examples available on GitHub, the book gradually progresses from easy to advanced topics, cultivating the expertise required to develop, deploy, and monetize your own groundbreaking applications by harnessing the full potential of ChatGPT APIs.

Tableau Prep Cookbook. Use Tableau Prep to clean, combine, and transform your data for analysis

Hendrik Kleine

Tableau Prep is a tool in the Tableau software suite, created specifically to develop data pipelines. This book will describe, in detail, a variety of scenarios that you can apply in your environment for developing, publishing, and maintaining complex Extract, Transform and Load (ETL) data pipelines.The book starts by showing you how to set up Tableau Prep Builder. You’ll learn how to obtain data from various data sources, including files, databases, and Tableau Extracts. Next, the book demonstrates how to perform data cleaning and data aggregation in Tableau Prep Builder. You’ll also gain an understanding of Tableau Prep Builder and how you can leverage it to create data pipelines that prepare your data for downstream analytics processes, including reporting and dashboard creation in Tableau. As part of a Tableau Prep flow, you’ll also explore how to use R and Python to implement data science components inside a data pipeline. In the final chapter, you’ll apply the knowledge you’ve gained to build two use cases from scratch, including a data flow for a retail store to prepare a robust dataset using multiple disparate sources and a data flow for a call center to perform ad hoc data analysis.By the end of this book, you’ll be able to create, run, and publish Tableau Prep flows and implement solutions to common problems in data pipelines.