Mastering Elasticsearch. Further your knowledge of the Elasticsearch server by learning more about its internals, querying, and data handling

Rafal Kuc, Marek Rogozinski

Instant Zend Framework 2.0. Designed for developers who want to learn Zend Framework fast, using a hands-on practical approach rather than dry theory. By the end of this book you'll have learned how to build a complete data-driven web application

A N M Mahabubul Hasan

Zend Framework 2 is a modern object-oriented PHP framework. It has lots of useful components, which are easy to use and user friendly, helping you get your job done faster. This book shows you how to use the framework components to build a practical MVC application. Topics covered in this application include validation, file upload, database CRUD (create, read, update, and delete) operations, and so on.Instant Zend Framework 2.0 has been specifically created to provide you with all the information that you need to get up with Zend Framework 2 applications. You will learn the basic of Zend Framework 2.0, and get started with building your first Zend Framework MVC application. The book promises to deliver all the information you need to get started with Zend Framework 2.0. Instant Zend Framework 2.0 starts with how to download Zend Framework 2.0 and the skeleton application, and then shows how to configure the skeleton application to use the Zend Framework 2.0. Then it takes you through step-by-step instructions of how to create and configure modules, controllers, views, models, helpers and so on. By following the instructions in the book, you will be able to build a small fully functional database-driven MVC application.You will also learn how to use different framework components like the event manager, Zend log, and how to configure them with the module. This will give you an idea of how to configure any component with the module. After finishing this book you will be able to build a small database-driven web application with Zend Framework 2.

Unlocking the Power of Auto-GPT and Its Plugins. Implement, customize, and optimize Auto-GPT for building robust AI applications

Wladislav Cugunov

Unlocking the Power of Auto-GPT and Its Plugins reveals how Auto-GPT is transforming the way we work and live, by breaking down complex goals into manageable subtasks and intelligently utilizing the internet and other tools. With a background as a self-taught full stack developer and key contributor to Auto-GPT’s Inner Team, the author blends unconventional thinking with practical expertise to make Auto-GPT and its plugins accessible to developers at all levels.This book explores the potential of Auto-GPT and its associated plugins through practical applications. Beginning with an introduction to Auto-GPT, it guides you through setup, utilization, and the art of prompt generation. You'll gain a deep understanding of the various plugin types and how to create them. The book also offers expert guidance on developing AI applications such as chat assistants, research aides, and speech companions, while covering advanced topics such as Docker configuration, continuous mode operation, and integrating your own LLM with Auto-GPT.By the end of this book, you'll be equipped with the knowledge and skills needed for AI application development, plugin creation, setup procedures, and advanced Auto-GPT features to fuel your AI journey.

Mastering Geospatial Development with QGIS 3.x. An in-depth guide to becoming proficient in spatial data analysis using QGIS 3.4 and 3.6 with Python - Third Edition

Shammunul Islam, Simon Miles, Kurt Menke, GISP, ...

QGIS is an open source solution to GIS and widely used by GIS professionals all over the world. It is the leading alternative to proprietary GIS software. Although QGIS is described as intuitive, it is also, by default, complex. Knowing which tools to use and how to apply them is essential to producing valuable deliverables on time. Starting with a refresher on the QGIS basics and getting you acquainted with the latest QGIS 3.6 updates, this book will take you all the way through to teaching you how to create a spatial database and a GeoPackage. Next, you will learn how to style raster and vector data by choosing and managing different colors. The book will then focus on processing raster and vector data. You will be then taught advanced applications, such as creating and editing vector data. Along with that, you will also learn about the newly updated Processing Toolbox, which will help you develop the advanced data visualizations. The book will then explain to you the graphic modeler, how to create QGIS plugins with PyQGIS, and how to integrate Python analysis scripts with QGIS. By the end of the book, you will understand how to work with all aspects of QGIS and will be ready to use it for any type of GIS work.

Microsoft 365 Word Tips and Tricks. Discover better ways of creating, customizing, and troubleshooting your documents

Heather Ackmann, Bill Kulterman, Ramit Arora

If you’re proud of yourself for finally learning how to use keyboard shortcuts and the search function, but still skip a beat when asked to generate a table of contents, then this book is for you. Written by two experts who’ve been teaching the world about Word for decades, Microsoft 365 Word Tips and Tricks is a powerhouse of demystifying advice that will take you from Word user to Word master.This book takes you on a step-by-step journey through Word essentials with plenty of practical examples. With it, you'll explore different versions of Microsoft Word, its full functionality, and understand how these versions impact collaboration with others. Each chapter focuses on a different aspect of working with the legendary text editor, including a whole chapter dedicated to concentrating better with the help of Word. Expert advice will fill your knowledge gaps and teach you how to work more productively and efficiently with text, images, styles, and even macros.By the end of this book, you will be able to make better documents faster and troubleshoot any Word-related problem that comes your way. And because of its clear and cohesive structure, you can easily come back to refresh your knowledge whenever you need it.

Drupal Search Engine Optimization. Drive people to your site with this supercharged guide to Drupal SEO with this book and

Ric Shreves

Drupal is a free and open-source content management system and content management framework written in PHP and distributed under the GNU General Public License. It is used as a back-end system for at least 1.5% of all websites worldwide ranging from personal blogs to corporate, political, and government sites. SEO, or Search Engine Optimization, is the process and techniques by which you optmize the content and style of your site in order to induce more people to view it.Drupal SEO will help you develop and execute an effective search engine optimization strategy for your site. From planning to implementation, the book covers best practices in contemporary SEO.In Drupal SEO you will learn how to develop a dynamic and productive SEO campaign. Covering both the basics of campaign development as well as the daily work it takes to maintain your SEO competitiveness, this book will show you how to produce a distinct and appropriate strategy for your site. In particular you will learn key phrase selection and competitor analysis and the correct groundwork for your dynamic SEO campaign.Drupal SEO will then show you, by finding the right combination of extensions, how to supercharge your site. You will also be given a guided tour of key SEO services, like Google and Bing Webmaster, in order to implement a progressive and effective link building campaign. You will then learn key expert tips and tricks to enable you to build SEO-effective content which will take your site from invisible to unmissable with little effort.

15 Math Concepts Every Data Scientist Should Know. Understand and learn how to apply the math behind data science algorithms

David Hoyle

Data science combines the power of data with the rigor of scientific methodology, with mathematics providing the tools and frameworks for analysis, algorithm development, and deriving insights. As machine learning algorithms become increasingly complex, a solid grounding in math is crucial for data scientists. David Hoyle, with over 30 years of experience in statistical and mathematical modeling, brings unparalleled industrial expertise to this book, drawing from his work in building predictive models for the world's largest retailers. Encompassing 15 crucial concepts, this book covers a spectrum of mathematical techniques to help you understand a vast range of data science algorithms and applications. Starting with essential foundational concepts, such as random variables and probability distributions, you’ll learn why data varies, and explore matrices and linear algebra to transform that data. Building upon this foundation, the book spans general intermediate concepts, such as model complexity and network analysis, as well as advanced concepts such as kernel-based learning and information theory. Each concept is illustrated with Python code snippets demonstrating their practical application to solve problems.By the end of the book, you’ll have the confidence to apply key mathematical concepts to your data science challenges.

Splunk Essentials. Operational Intelligence at your fingertips - Second Edition

Betsy Page Sigman, Erickson Delgado

Splunk is a search, analysis, and reporting platform for machine data, which has a high adoption on the market. More and more organizations want to adopt Splunk to use their data to make informed decisions.This book is for anyone who wants to manage data with Splunk. You’ll start with very basics of Splunk— installing Splunk—and then move on to searching machine data with Splunk. You will gather data from different sources, isolate them by indexes, classify them into source types, and tag them with the essential fields. After this, you will learn to create various reports, XML forms, and alerts. You will then continue using the Pivot Model to transform the data models into visualization. You will also explore visualization with D3 in Splunk. Finally you’ll be provided with some real-world best practices in using Splunk.