Modernizing Drupal 10 Theme Development. Build fast, responsive Drupal websites with custom theme design to deliver a rich user experience

Luca Lusso

Working with themes in Drupal can be challenging, given the number of layers and APIs involved. Modernizing Drupal 10 Theme Development helps you explore the new Drupal 10’s theme layer in depth.With a fully implemented Drupal website on the one hand and a set of Storybook components on the other, you’ll begin by learning to create a theme from scratch to match the desired final layout. Once you’ve set up a local environment, you’ll get familiarized with design systems and learn how to map them to the structures of a Drupal website. Next, you’ll bootstrap your new theme and optimize Drupal’s productivity using tools such as webpack, Tailwind CSS, and Browsersync. As you advance, you’ll delve into all the theme layers in a step-by-step way, starting from how Drupal builds an HTML page to where the template files are and how to add custom CSS and JavaScript. You’ll also discover how to leverage all the Drupal APIs to implement robust and maintainable themes without reinventing the wheel, but by following best practices and methodologies. Toward the end, you’ll find out how to build a fully decoupled website using json:api and Next.js.By the end of this book, you’ll be able to confidently build custom Drupal themes to deliver state-of-the-art websites and keep ahead of the competition in the modern frontend world.

Salesforce for Beginners. A step-by-step guide to optimize sales and marketing and automate business processes with the Salesforce platform - Second Edition

Sharif Shaalan, Timothy Royer

The second edition of Salesforce for Beginners provides you with a holistic introduction to the Salesforce platform. Whether you need help with the lead generation process, Salesforce user management and data security, or automating tasks with Salesforce Flow, this book is for you.Throughout this new edition you will find real-world business use cases to demonstrate concepts, screenshots of the latest UI displayed for screen navigation, and exercises at the end of every chapter to test your newfound knowledge.Working with the world’s leading CRM software, you will learn how to create activities, manage leads, develop your prospects and sales pipeline using opportunities and accounts, and understand how you can enhance marketing activities using campaigns. You will be able to take your administration skills to the next level as you approach real-world user management topics such as ownership skew. You will learn about data security on the Salesforce platform, with an introduction to the role hierarchy, system and user permissions, and much more.In this new edition you'll get to explore the popular automation tool Salesforce Flow. You’ll learn about the different flow types to employ, how to construct your first flow, and how to extensively test your flow. This will allow you to come away from reading this book with a real, functional flow for your business processes.

Practical Internet of Things Security. Beat IoT security threats by strengthening your security strategy and posture against IoT vulnerabilities

Drew Van Duren, Brian Russell

With the advent of Internet of Things (IoT), businesses will be faced with defending against new types of threats. The business ecosystem now includes cloud computing infrastructure, mobile and fixed endpoints that open up new attack surfaces, a desire to share information with many stakeholders and a need to take action quickly based on large quantities of collected data. . It therefore becomes critical to ensure that cyber security threats are contained to a minimum when implementing new IoT services and solutions. . The interconnectivity of people, devices, and companies raises stakes to a new level as computing and action become even more mobile, everything becomes connected to the cloud, and infrastructure is strained to securely manage the billions of devices that will connect us all to the IoT. This book shows you how to implement cyber-security solutions, IoT design best practices and risk mitigation methodologies to address device and infrastructure threats to IoT solutions.This book will take readers on a journey that begins with understanding the IoT and how it can be applied in various industries, goes on to describe the security challenges associated with the IoT, and then provides a set of guidelines to architect and deploy a secure IoT in your Enterprise. The book will showcase how the IoT is implemented in early-adopting industries and describe how lessons can be learned and shared across diverse industries to support a secure IoT.

Tizen Cookbook. Over 100 hands-on recipes to develop, deploy, and debug applications using the exciting Tizen platform

Leon Anavi

The Economics of Data, Analytics, and Digital Transformation. The theorems, laws, and empowerments to guide your organization's digital transformation

Bill Schmarzo

In today’s digital era, every organization has data, but just possessing enormous amounts of data is not a sufficient market discriminator. The Economics of Data, Analytics, and Digital Transformation aims to provide actionable insights into the real market discriminators, including an organization’s data-fueled analytics products that inspire innovation, deliver insights, help make practical decisions, generate value, and produce mission success for the enterprise.The book begins by first building your mindset to be value-driven and introducing the Big Data Business Model Maturity Index, its maturity index phases, and how to navigate the index. You will explore value engineering, where you will learn how to identify key business initiatives, stakeholders, advanced analytics, data sources, and instrumentation strategies that are essential to data science success. The book will help you accelerate and optimize your company’s operations through AI and machine learning.By the end of the book, you will have the tools and techniques to drive your organization’s digital transformation.Here are a few words from Dr. Kirk Borne, Data Scientist and Executive Advisor at Booz Allen Hamilton, about the book:Data analytics should first and foremost be about action and value. Consequently, the great value of this book is that it seeks to be actionable. It offers a dynamic progression of purpose-driven ignition points that you can act upon.

Building Websites with Microsoft Content Management Server. A fast-paced and practical tutorial guide for C# developers starting out with MCMS 2002

Stefan Gossner, Lim Mei Ying, Joel Ward

Microsoft Content Management Server 2002 is a dynamic web publishing system with which you can build websites quickly and cost-efficiently. MCMS provides the administration, authoring, and data management functionality, and you provide the website interface, logic, and workflow. Once your website is up and running, your content contributors can add and edit content on their own, without the need to work with developers or the IT department. First time developers of Microsoft Content Management Server 2002 face a relatively steep learning curve. Not only are they expected to be conversant in the Microsoft .NET Framework, they are also required to be familiar with the concepts of MCMS 2002. Many beginners to MCMS start out by looking at the example site that ships with the product; tweaking it, dissecting it and turning it inside out using the obscure code comments as markers. However, when it comes to starting their own website from scratch, many are baffled ? where do they begin? This book exists to answer that question; teaching the essential concepts of MCMS 2002 in a clear, straightforward and practical manner. Containing answers to some of the most asked questions in developer newsgroups, this book is a treasure trove of tricks and tips for solving the problems faced by MCMS developers. This is a unique resource focused exclusively on the needs of developers using MCMS. It doesn?t waste time and pages on user or administrator level information that is well covered in other documentation. It?s a distillation of practical experience that developers need to get results, fast. The authors carefully structured example project complements and extends the knowledge gained from an initial look at the examples that ship with MCMS.

Before Machine Learning Volume 2 - Calculus for A.I. The Fundamental Mathematics for Data Science and Artificial Intelligence

Jorge Brasil

This book takes readers on a structured journey through calculus fundamentals essential for AI. Starting with “Why Calculus?” it introduces key concepts like functions, limits, and derivatives, providing a solid foundation for understanding machine learning.As readers progress, they will encounter practical applications such as Taylor Series for curve fitting, gradient descent for optimization, and L'Hôpital’s Rule for managing undefined expressions. Each chapter builds up from core calculus to multidimensional topics, making complex ideas accessible and applicable to AI.The final chapters guide readers through multivariable calculus, including advanced concepts like the gradient, Hessian, and backpropagation, crucial for neural networks. From optimizing models to understanding cost functions, this book equips readers with the calculus skills needed to confidently tackle AI challenges, offering insights that make complex calculus both manageable and deeply relevant to machine learning.

Practical Machine Learning with R. Define, build, and evaluate machine learning models for real-world applications

Brindha Priyadarshini Jeyaraman, Ludvig Renbo Olsen, Monicah Wambugu

With huge amounts of data being generated every moment, businesses need applications that apply complex mathematical calculations to data repeatedly and at speed. With machine learning techniques and R, you can easily develop these kinds of applications in an efficient way.Practical Machine Learning with R begins by helping you grasp the basics of machine learning methods, while also highlighting how and why they work. You will understand how to get these algorithms to work in practice, rather than focusing on mathematical derivations. As you progress from one chapter to another, you will gain hands-on experience of building a machine learning solution in R. Next, using R packages such as rpart, random forest, and multiple imputation by chained equations (MICE), you will learn to implement algorithms including neural net classifier, decision trees, and linear and non-linear regression. As you progress through the book, you’ll delve into various machine learning techniques for both supervised and unsupervised learning approaches. In addition to this, you’ll gain insights into partitioning the datasets and mechanisms to evaluate the results from each model and be able to compare them. By the end of this book, you will have gained expertise in solving your business problems, starting by forming a good problem statement, selecting the most appropriate model to solve your problem, and then ensuring that you do not overtrain it.