jQuery Mobile Web Development Essentials. Build a powerful and practical jQuery-based framework in order to create mobile-optimized websites - Third Edition

Raymond Camden, Andy Matthews

jQuery Mobile is a HTML5-based touch-optimized web framework. jQuery Mobile can be used to build responsive cross-platform websites and apps for a wide range of smartphones, tablets, and desktop devices. The jQuery Mobile framework can be integrated with other mobile app frameworks such as PhoneGap, IBM Worklight, and more.Introduction to jQuery Mobile explains how to add the framework to your HTML pages to create rich, mobile-optimized web pages with minimal effort. You’ll learn how to use jQuery Mobile’s automatic enhancements and configure the framework for customized, powerful mobile-friendly websites. We then dig into forms, events, and styling. You'll see how jQuery Mobile automatically enhances content, and will find out how to use the JavaScript API to build complex sites. We’ll introduce you to how jQuery Mobile can be themed as well looking into how JavaScript can be used for deep sets of customizations. The examples are ready to run and can be used to help kick-start your own site. Along the way, you will leverage all the concepts you learn to build three sample mobile applications.

Responsive Media in HTML5. Learn effective administration of responsive media within your website or CMS system using practical techniques

Alex Libby

Google Visualization API Essentials. Make sense of your data: make it visual with the Google Visualization API

Traci Lynn Ruthkoski

There's a lot of data in our world, and visual representations are often the best method of making sense of it all. Yet, it should not take an army of programmers and analysts to create visualizations in order to make data useful. The Google Visualization API is accessible to novice and advanced programmers alike, making data useful to more people.Google Visualization API Essentials will show you how to create interactive data displays with very little code. The API, combined with Google Spreadsheets and Fusion Tables, is a complete system, from data management to analytical displays. Not only is it simple to learn, but the Google Visualization API can also be viewed as a first step to learning additional Google APIs.Google Visualization API Essentials uses both methodology overviews and hands-on examples with real data to introduce chart and graph creation on the Google platform. Topics are presented from various aspects, including Google Spreadsheets and Fusion Tables, and Graphic User Interfaces. An overview of the various API development environments available to developers is also covered. Basic and advanced charts, data source connectivity, style formatting, and publishing options are also explored in depth.Google Visualization API Essentials brings the arsenal of Google Visualizations into the web developer toolkit.

Data Lakehouse in Action. Architecting a modern and scalable data analytics platform

Pradeep Menon

The Data Lakehouse architecture is a new paradigm that enables large-scale analytics. This book will guide you in developing data architecture in the right way to ensure your organization's success.The first part of the book discusses the different data architectural patterns used in the past and the need for a new architectural paradigm, as well as the drivers that have caused this change. It covers the principles that govern the target architecture, the components that form the Data Lakehouse architecture, and the rationale and need for those components. The second part deep dives into the different layers of Data Lakehouse. It covers various scenarios and components for data ingestion, storage, data processing, data serving, analytics, governance, and data security. The book's third part focuses on the practical implementation of the Data Lakehouse architecture in a cloud computing platform. It focuses on various ways to combine the Data Lakehouse pattern to realize macro-patterns, such as Data Mesh and Data Hub-Spoke, based on the organization's needs and maturity level. The frameworks introduced will be practical and organizations can readily benefit from their application.By the end of this book, you'll clearly understand how to implement the Data Lakehouse architecture pattern in a scalable, agile, and cost-effective manner.

Hands-On RESTful Python Web Services. Develop RESTful web services or APIs with modern Python 3.7 - Second Edition

Gaston C. Hillar

Python is the language of choice for millions of developers worldwide that builds great web services in RESTful architecture. This second edition of Hands-On RESTful Python Web Services will cover the best tools you can use to build engaging web services.This book shows you how to develop RESTful APIs using the most popular Python frameworks and all the necessary stacks with Python, combined with related libraries and tools. You’ll learn to incorporate all new features of Python 3.7, Flask 1.0.2, Django 2.1, Tornado 5.1, and also a new framework, Pyramid. As you advance through the chapters, you will get to grips with each of these frameworks to build various web services, and be shown use cases and best practices covering when to use a particular framework.You’ll then successfully develop RESTful APIs with all frameworks and understand how each framework processes HTTP requests and routes URLs. You’ll also discover best practices for validation, serialization, and deserialization. In the concluding chapters, you will take advantage of specific features available in certain frameworks such as integrated ORMs, built-in authorization and authentication, and work with asynchronous code. At the end of each framework, you will write tests for RESTful APIs and improve code coverage.By the end of the book, you will have gained a deep understanding of the stacks needed to build RESTful web services.

Azure Networking Cookbook. Practical recipes for secure network infrastructure, global application delivery, and accessible connectivity in Azure - Second Edition

Mustafa Toroman

Azure's networking services enable organizations to manage their networks effectively. With the Azure Networking Cookbook, you’ll see how Azure paves the way for an enterprise to achieve reliable performance and secure connectivity.This updated second edition will take you through the latest networking features in Azure. The book starts with an introduction to Azure networking, covering basics such as creating Azure virtual networks, designing address spaces, and creating subnets. You’ll create and manage network security groups, application security groups, and IP addresses in Azure using easy-to-follow recipes. As you progress through the book, you’ll explore various aspects such as DNS and routing, load balancers, Traffic Manager, and site-to-site, point-to-site, and VNet-to-VNet connections. This cookbook covers all the functions crucial to understanding cloud networking practices and being able to plan, implement, and secure your network infrastructure with Azure. You’ll not only upscale your current environment but also get well-versed with monitoring, diagnosing, and ensuring secure connectivity. The book will help you grasp best practices as you learn how to create a robust environment.By the end of this Azure cookbook, you’ll have gained hands-on experience developing cost-effective solutions that can facilitate efficient connectivity in your organization.

Apache Airflow Best Practices. A practical guide to orchestrating data workflow with Apache Airflow

Dylan Intorf, Dylan Storey, Kendrick van Doorn

Data professionals face the challenge of managing complex data pipelines, orchestrating workflows across diverse systems, and ensuring scalable, reliable data processing. This definitive guide to mastering Apache Airflow, written by experts in engineering, data strategy, and problem-solving across tech, financial, and life sciences industries, is your key to overcoming these challenges. Covering everything from Airflow fundamentals to advanced topics such as custom plugin development, multi-tenancy, and cloud deployment, this book provides a structured approach to workflow orchestration. You’ll start with an introduction to data orchestration and Apache Airflow 2.x updates, followed by DAG authoring, managing Airflow components, and connecting to external data sources. Through real-world use cases, you’ll learn how to implement ETL pipelines and orchestrate ML workflows in your environment, and scale Airflow for high availability and performance. You’ll also learn how to deploy Airflow in cloud environments, tackle operational considerations for scaling, and apply best practices for CI/CD and monitoring.By the end of this book, you’ll be proficient in operating and using Apache Airflow, authoring high-quality workflows in Python, and making informed decisions crucial for production-ready Airflow implementations.

Microsoft Power BI Performance Best Practices. A comprehensive guide to building consistently fast Power BI solutions

Bhavik Merchant, Christopher Webb

This book comprehensively covers every layer of Power BI, from the report canvas to data modeling, transformations, storage, and architecture.Developers and architects working with any area of Power BI will be able to put their knowledge to work with this practical guide to design and implement at every stage of the analytics solution development process. This book is not only a unique collection of best practices and tips, but also provides you with a hands-on approach to identifying and fixing common performance issues.Complete with explanations of essential concepts and practical examples, you’ll learn about common design choices that affect performance and consume more resources and how to avoid these problems. You’ll grasp the general architectural issues and settings that broadly affect most solutions. As you progress, you’ll walk through each layer of a typical Power BI solution, learning how to ensure your designs can handle scale while not sacrificing usability. You’ll focus on the data layer and then work your way up to report design. We will also cover Power BI Premium and load testing.By the end of this Power BI book, you’ll be able to confidently maintain well-performing Power BI solutions with reduced effort and know how to use freely available tools and a systematic process to monitor and diagnose performance problems.

The Java Workshop. Learn object-oriented programming and kickstart your career in software development

David Cuartielles, Andreas Göransson, Eric Foster-Johnson

Java is a versatile, popular programming language used across a wide range of industries. Learning how to write effective Java code can take your career to the next level, and The Java Workshop will help you do just that. This book is designed to take the pain out of Java coding and teach you everything you need to know to be productive in building real-world software.The Workshop starts by showing you how to use classes, methods, and the built-in Collections API to manipulate data structures effortlessly. You’ll dive right into learning about object-oriented programming by creating classes and interfaces and making use of inheritance and polymorphism. After learning how to handle exceptions, you’ll study the modules, packages, and libraries that help you organize your code. As you progress, you’ll discover how to connect to external databases and web servers, work with regular expressions, and write unit tests to validate your code. You’ll also be introduced to functional programming and see how to implement it using lambda functions. By the end of this Workshop, you’ll be well-versed with key Java concepts and have the knowledge and confidence to tackle your own ambitious projects with Java.

Feature Store for Machine Learning. Curate, discover, share and serve ML features at scale

Jayanth Kumar M J

Feature store is one of the storage layers in machine learning (ML) operations, where data scientists and ML engineers can store transformed and curated features for ML models. This makes them available for model training, inference (batch and online), and reuse in other ML pipelines. Knowing how to utilize feature stores to their fullest potential can save you a lot of time and effort, and this book will teach you everything you need to know to get started.Feature Store for Machine Learning is for data scientists who want to learn how to use feature stores to share and reuse each other's work and expertise. You’ll be able to implement practices that help in eliminating reprocessing of data, providing model-reproducible capabilities, and reducing duplication of work, thus improving the time to production of the ML model. While this ML book offers some theoretical groundwork for developers who are just getting to grips with feature stores, there's plenty of practical know-how for those ready to put their knowledge to work. With a hands-on approach to implementation and associated methodologies, you'll get up and running in no time.By the end of this book, you’ll have understood why feature stores are essential and how to use them in your ML projects, both on your local system and on the cloud.

Simplify Big Data Analytics with Amazon EMR. A beginner’s guide to learning and implementing Amazon EMR for building data analytics solutions

Sakti Mishra

Amazon EMR, formerly Amazon Elastic MapReduce, provides a managed Hadoop cluster in Amazon Web Services (AWS) that you can use to implement batch or streaming data pipelines. By gaining expertise in Amazon EMR, you can design and implement data analytics pipelines with persistent or transient EMR clusters in AWS.This book is a practical guide to Amazon EMR for building data pipelines. You'll start by understanding the Amazon EMR architecture, cluster nodes, features, and deployment options, along with their pricing. Next, the book covers the various big data applications that EMR supports. You'll then focus on the advanced configuration of EMR applications, hardware, networking, security, troubleshooting, logging, and the different SDKs and APIs it provides. Later chapters will show you how to implement common Amazon EMR use cases, including batch ETL with Spark, real-time streaming with Spark Streaming, and handling UPSERT in S3 Data Lake with Apache Hudi. Finally, you'll orchestrate your EMR jobs and strategize on-premises Hadoop cluster migration to EMR. In addition to this, you'll explore best practices and cost optimization techniques while implementing your data analytics pipeline in EMR.By the end of this book, you'll be able to build and deploy Hadoop- or Spark-based apps on Amazon EMR and also migrate your existing on-premises Hadoop workloads to AWS.

IBM Cognos 8 Planning. Engineer a clear-cut strategy for achieving best-in-class results using IBM Cognos 8 Planning with this book and

Rich Babaran, Ned Riaz, Jason Edwards

Business planning is no longer just about defining goals, identifying critical issues, and then mapping out strategies. In today's dynamic and highly competitive business environment, companies with complex business models want their abstract strategies turned into discrete, executable plans. They want information from the field to reach decision makers in real-time so that they can fine-tune their plans as events unfold. IBM Cognos 8 Planning offers just that.This book provides you with everything you need to know for building planning models using IBM Cognos 8 Planning. After reading this book, you can begin your journey into model building bringing with you a perspective that comes from three of the most seasoned IBM Cognos Planning consultants in the business.In this book, you will learn how to build planning models using IBM Cognos Planning's modeling tool, Analyst. We introduce you to key objects in Analyst that let you define, store, and move data. Then we show how you can deploy the model to hundreds or thousands of users using IBM Cognos Planning's web-based tool, Contributor. We demonstrate some of the things you can do as an administrator and as a user. Finally, we show the automation tools that you can use to maintain and support your models. As we go through this, we will share with you tips and tricks and insights from our experience with real implementations.

Drupal 6 Search Engine Optimization. Rank high in search engines with professional SEO tips, modules, and best practices for Drupal web sites

Ben Finklea

The earlier a site appears in the search results list, the more visitors it will receive from the search engine. Despite several advantages, many Drupal sites suffer with poor search engine standings. Perhaps you are aware of the importance of SEO for increasing traffic to your site, but do you know how to apply it to your Drupal site? Here comes the first book about search engine optimization for Drupal sites.This practical, step-by-step guide takes the mystery out of Drupal search engine optimization (SEO) by showing you the tricks of today's top marketing pros to achieve top ranking in the search engines. This isn't a book of Drupal SEO theory ñ it's a practical guide showing you which modules to install, which settings to use, and dozens of the most closely guarded tricks of the trade to get your web site optimized, higher in the search engines, and more profitable.With this book and basic Drupal 6 knowledge ñ how to log in, create content, and install modules ñ you can build a perfectly search engine optimized web site. Each chapter uses easy, step-by-step instructions to walk you through the Drupal SEO modules, configurations, and content you will need to increase traffic on your web site. You start by reviewing the modules and tools that you should use to optimize your site, how to set up your analytics, and so on. Each subsequent chapter gives detailed instructions on implementing these features in Drupal. Later chapters cover topics like site organization, A/B testing, and automatic content tagging to maximize SEO and increase the conversion rate of your web site. When you have completed the book, you will have implemented the changes to your site required to rank well in the search engines. If you want to maximize the return on investment of your Drupal 6 web site and gain a significant advantage over competitors who are not using Drupal, then this book is for you. Imagine how great you'll feel when your site is optimized to increase the number of visitors and convert them into paying customers.

Azure for Decision Makers. The essential guide to Azure for business leaders

Jack Lee, Jason Milgram, David Rendón

Azure for Decision Makers provides a comprehensive overview of the latest updates in cloud security, hybrid cloud and multi-cloud solutions, and cloud migration in Azure. This book is a must-have introduction to the Microsoft Azure cloud platform, demonstrating the substantial scope of digital transformation and innovation that can be achieved with Azure's capabilities.The first set of chapters will get you up to speed with Microsoft Azure's evolution before showing you how to integrate it into your existing IT infrastructure. Next, you’ll gain practical insights into application migration and modernization, focusing mainly on migration planning, implementation, and best practices. Throughout the book, you’ll get the information you need to spearhead a smooth migration and modernization process, detailing Azure infrastructure as a service (IaaS) deployment, infrastructure management, and key application architectures. The concluding chapters will help you to identify and incorporate best practices for cost optimization and management, Azure DevOps, and Azure automation.By the end of this book, you’ll have learned how to lead end-to-end Azure operations for your organization and effectively cost-optimize your processes ─ from the planning and cloud migration stage through to troubleshooting.

Transformers for Natural Language Processing. Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more

Denis Rothman

The transformer architecture has proved to be revolutionary in outperforming the classical RNN and CNN models in use today. With an apply-as-you-learn approach, Transformers for Natural Language Processing investigates in vast detail the deep learning for machine translations, speech-to-text, text-to-speech, language modeling, question answering, and many more NLP domains with transformers.The book takes you through NLP with Python and examines various eminent models and datasets within the transformer architecture created by pioneers such as Google, Facebook, Microsoft, OpenAI, and Hugging Face.The book trains you in three stages. The first stage introduces you to transformer architectures, starting with the original transformer, before moving on to RoBERTa, BERT, and DistilBERT models. You will discover training methods for smaller transformers that can outperform GPT-3 in some cases. In the second stage, you will apply transformers for Natural Language Understanding (NLU) and Natural Language Generation (NLG). Finally, the third stage will help you grasp advanced language understanding techniques such as optimizing social network datasets and fake news identification.By the end of this NLP book, you will understand transformers from a cognitive science perspective and be proficient in applying pretrained transformer models by tech giants to various datasets.

Building Full Stack DeFi Applications. A practical guide to creating your own decentralized finance projects on blockchain

Samuel Zhou

Enter the world of Decentralized Finance (DeFi) with Building Full Stack DeFi Applications. Understand how this blockchain-based financial technology, designed to manage crypto assets, runs independently without centralized financial institutions like banks and brokerages, eliminating the fees that banks and other financial companies charge for using their services. This book will show you how DeFi solutions are built with smart contracts running on blockchains and how they allow users to gain and earn crypto assets based on the trust of the smart contracts.This book uncovers the inner workings of DeFi by guiding you through the mathematical foundations and teaching you how to build real-world DeFi products with Solidity and JavaScript. As you progress through the chapters, you’ll learn how to implement smart contracts of liquidity pools to trade cryptocurrencies and implement staking, including farming features that allow users to earn. You’ll also find out how to create asset pools that allow users to lend and borrow cryptocurrencies and generate interest. Additionally, you’ll discover how to use Web3 libraries to build the frontend of DeFi products.By the end of this book, you’ll will be well acquainted with popular tools, libraries, and design patterns for implementing a full-stack DeFi application with Web3 and Solidity.