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Podcasts
Everett Griffiths, Brian Bondari, Matt Mullenweg
WordPress is one of the most popular platforms for building blogs and general websites. By learning how to develop and integrate your own plugins, you can add functionality and extend WordPress in any way imaginable. By tapping into the additional power and functionality that plugins provide, you can make your site easier to administer, add new features, or even alter the very nature of how WordPress works. Covering WordPress version 3, this book makes it super easy for you to build a variety of plugins.WordPress 3 Plugin Development Essentials is a practical hands-on tutorial for learning how to create your own plugins for WordPress. Using best coding practices, this book will walk you through the design and creation of a variety of original plugins.WordPress 3 Plugin Development Essentials focuses on teaching you all aspects of modern WordPress development. The book uses real and published WordPress plugins and follows their creation from the idea to the finishing touches in a series of easy-to-follow and informative steps. You will discover how to deconstruct an existing plugin, use the WordPress API in typical scenarios, hook into the database, version your code with SVN, and deploy your new plugin to the world.Each new chapter introduces different features of WordPress and how to put them to good use, allowing you to gradually advance your knowledge. WordPress 3 Plugin Development Essentials is packed with information, tips, and examples that will help you gain comfort and confidence in your ability to harness and extend the power of WordPress via plugins.
Building enterprise-ready Vue.js apps entails following best practices for creating high-performance and scalable applications. Complete with step-by-step explanations and best practices outlined, this Vue.js book is a must-read for any developer who works with a large Vue.js codebase where performance and scalability are indispensable.Throughout this book, you’ll learn how to configure and set up Vue.js 3 and the composition API and use it to build real-world applications. You’ll develop the skills to create reusable components and scale performance in Vue.js 3 applications. As you progress, the book guides you in scaling performance with asynchronous lazy loading, image compression, code splitting, and tree shaking. Furthermore, you’ll see how to use the Restful API, Docker, GraphQL, and different types of testing to ensure that your Vue.js 3 application is scalable and maintainable.By the end of this book, you’ll be well-versed in best practices for implementing Restful API, Docker, GraphQL, and testing methods to build and deploy an enterprise-ready Vue.js 3 application of any scale.
Salesforce CPQ is innovative software that enables you create better quotes, improve quoting accuracy, and maximize sales and deals. It also provides a quick analysis of profits and losses, helping you improve the overall execution of sales processes, and allows a great deal of flexibility for your prospects, customers, and business partners.The book starts with the Quote-2-Cash business process in Salesforce and shows you how to assess when a business needs to implement CPQ. You’ll then progress to configuring opportunities, quotes, and CPQ products. As you advance, you’ll understand how to define and configure price books, price rules for CPQ quote automation, multidimensional quoting, and more. Next, you'll look at how to configure CPQ guided selling and create package configurations, contracts, and amendments. Later chapters will demonstrate how to perform data migration from a legacy system and the order in which the objects are to be migrated. You’ll also explore CPQ billing and its advantages with the help of different use cases before learning about Industries CPQ and how it is different from standard Salesforce CPQ. Finally, you’ll discover best practices for achieving optimal CPQ performance and avoiding performance bottlenecks.By the end of this Salesforce book, you’ll be able to implement Salesforce CPQ for any business.
There's a reason why Apache Spark has become one of the most popular tools in Machine Learning – its ability to handle huge datasets at an impressive speed means you can be much more responsive to the data at your disposal. This book shows you Spark at its very best, demonstrating how to connect it with R and unlock maximum value not only from the tool but also from your data.Packed with a range of project blueprints that demonstrate some of the most interesting challenges that Spark can help you tackle, you'll find out how to use Spark notebooks and access, clean, and join different datasets before putting your knowledge into practice with some real-world projects, in which you will see how Spark Machine Learning can help you with everything from fraud detection to analyzing customer attrition. You'll also find out how to build a recommendation engine using Spark's parallel computing powers.
Moodle is a leading virtual learning environment for your online course. This book incorporates the principles of instructional design, showing you how to apply them to your Moodle courses. With this guidance, you will develop and deploy better courses, content, and assessments than ever.This book will guide you as you learn how to build and incorporate many different types of course materials and dynamic activities. You will learn how to improve the structure and presentation of resources, activities, and assessments. All this will help you to create better for self-led courses, instructor-led courses, and courses for collaborative groups. The use of multimedia features to enhance your Moodle courses is also explained in this book.Our goal is to encourage creativity, and the free MoodleCloud hosting option is an ideal place for teachers, students, trainers, and administrators to jump in and play with all the new features, which include powerful new plug-ins, new resources, and activities.Moodle can be your sandbox as well as your castle of learning! With this book, you will build learning experiences that will last your learners’ lifetimes.
PLCs for Beginners. An introductory guide to building robust PLC programs with Structured Text
With the rise of smart factories and advanced technology, the demand for PLC programmers with expertise beyond ladder logic is surging. Written by M.T. White, a seasoned DevOps engineer and adjunct CIS instructor, this guide offers insights from the author’s extensive experience in PLC and HMI programming across industries. This book introduces a fresh approach to PLC programming, preparing you for future automation challenges through computer science and text-based programming.Starting with the basic components of PLCs and their integration with other modules, this book gives you a clear understanding of system functionality and helps you master PLC program execution by learning about flow and essential components for effective programming. You'll understand program design with pseudocode and flowcharts, vital for planning programs, and cover Boolean logic intricacies, harnessing logical functions and truth tables for precise control statements. The book gives you a comprehensive grasp of Structured Text, its syntax and features crucial for efficient programming. The book also focuses on advanced topics like cybersecurity in PLC systems and leveraging generative AI (GenAI), such as ChatGPT, to enhance productivity.By the end of this book, you’ll be able to design real-world projects using pseudocode and flowcharts, and implement those designs in Structured Text.
Whether you are an experienced developer or a novice, learning to work with Version Control Systems is a must in the software development world. Git is the most popular tool for that purpose, and GitHub was built around it, leveraging its powers by bringing it to the web.Starting with the basics of creating a repository, you will then learn how to manage the issue tracker, the place where discussions about your project take place. Continuing our journey, we will explore how to use the wiki and write rich documentation that will accompany your project. You will also master organization/team management and some of the features that made GitHub so well known, including pull requests. Next, we will focus on creating simple web pages hosted on GitHub and lastly, we will explore the settings that are configurable for a user and a repository.
Claudio Stamile, Aldo Marzullo, Enrico Deusebio
Graph Machine Learning will introduce you to a set of tools used for processing network data and leveraging the power of the relation between entities that can be used for predictive, modeling, and analytics tasks. The first chapters will introduce you to graph theory and graph machine learning, as well as the scope of their potential use. You’ll then learn all you need to know about the main machine learning models for graph representation learning: their purpose, how they work, and how they can be implemented in a wide range of supervised and unsupervised learning applications. You'll build a complete machine learning pipeline, including data processing, model training, and prediction in order to exploit the full potential of graph data. After covering the basics, you’ll be taken through real-world scenarios such as extracting data from social networks, text analytics, and natural language processing (NLP) using graphs and financial transaction systems on graphs. You’ll also learn how to build and scale out data-driven applications for graph analytics to store, query, and process network information, and explore the latest trends on graphs. By the end of this machine learning book, you will have learned essential concepts of graph theory and all the algorithms and techniques used to build successful machine learning applications.
Adobe Photoshop Elements is a raster graphics editor for entry-level photographers, image editors, and hobbyists. Though it shares many of Photoshop CC's high-end features, it also boasts a significant number of simple to use, yet highly effective tools not found at the professional level.This book presents the complexities of image editing in easy-to-follow, bite-sized chunks, allowing you to quickly recognize the editing challenge, and helps you to identify the tools and techniques required to make improvements, and to apply those techniques quickly and efficiently. You will start by learning how to import, organize, manage, edit, and use your pictures in a format that's designed for creative photography projects. Going further, you'll discover how to fix a wide range of photographic problems based on the book's extensive repertoire of commonly applied solutions. You'll be escorted through a wide range of common processes that include applying artistic effects to creative projects, custom image makeovers, processing images for social media, and other file export methods.Towards the end of the book, you will understand what the most important tools and features actually do in Photoshop Elements, answering the often-asked question; What, when, and where would you use these features in a precise and practical way.
Has Altaiar, Jack Lee, Michael Pena
Cloud Analytics with Microsoft Azure serves as a comprehensive guide for big data analysis and processing using a range of Microsoft Azure features. This book covers everything you need to build your own data warehouse and learn numerous techniques to gain useful insights by analyzing big data.The book begins by introducing you to the power of data with big data analytics, the Internet of Things (IoT), machine learning, artificial intelligence, and DataOps. You will learn about cloud-scale analytics and the services Microsoft Azure offers to empower businesses to discover insights. You will also be introduced to the new features and functionalities added to the modern data warehouse.Finally, you will look at two real-world business use cases to demonstrate high-level solutions using Microsoft Azure. The aim of these use cases will be to illustrate how real-time data can be analyzed in Azure to derive meaningful insights and make business decisions. You will learn to build an end-to-end analytics pipeline on the cloud with machine learning and deep learning concepts.By the end of this book, you will be proficient in analyzing large amounts of data with Azure and using it effectively to benefit your organization.