iPhone User Interface Cookbook. A concise dissection of Apple’s iOS user interface design principles

Cameron Banga

The incredible growth rates for the iPhone, iPod touch, and iPad have pushed consumers to a new “App” economy, with developers racing to the platform. Mobile touch-centric interfaces vary greatly from traditional computing platforms, and programmers as well as designers must learn to adapt to the new form-factor.The iPhone User Interface Cookbook offers a complete breakdown of standard interface design on the iPhone, iPod touch, and iPad. You will learn the tools behind the trade, how to properly utilize standard interface elements, and custom UI tricks that will help your work stand out on the App Store.The book is designed to be a complete overview of interface design on all iOS platforms, offering insight and an inside look into app design. A variety of topics are covered, starting with an overview of tools for the app interface designer, touching upon popular interface components such as the Tab Bar, and offering suggestions for complex game interfaces. Whether you’re new to the platform or a seasoned developer with numerous applications in the App Store, this book strives to teach everyone simple and easy to implement tips for iOS interface design. Regardless of skill level, the iPhone User Interface Cookbook offers a detailed breakdown of all things interface design.

Applied Machine Learning for Healthcare and Life Sciences Using AWS. Transformational AI implementations for biotech, clinical, and healthcare organizations

Ujjwal Ratan

While machine learning is not new, it's only now that we are beginning to uncover its true potential in the healthcare and life sciences industry. The availability of real-world datasets and access to better compute resources have helped researchers invent applications that utilize known AI techniques in every segment of this industry, such as providers, payers, drug discovery, and genomics.This book starts by summarizing the introductory concepts of machine learning and AWS machine learning services. You’ll then go through chapters dedicated to each segment of the healthcare and life sciences industry. Each of these chapters has three key purposes -- First, to introduce each segment of the industry, its challenges, and the applications of machine learning relevant to that segment. Second, to help you get to grips with the features of the services available in the AWS machine learning stack like Amazon SageMaker and Amazon Comprehend Medical. Third, to enable you to apply your new skills to create an ML-driven solution to solve problems particular to that segment. The concluding chapters outline future industry trends and applications.By the end of this book, you’ll be aware of key challenges faced in applying AI to healthcare and life sciences industry and learn how to address those challenges with confidence.

Apps and Services with .NET 8. Build practical projects with Blazor, .NET MAUI, gRPC, GraphQL, and other enterprise technologies - Second Edition

Mark J. Price

Elevate your practical C# and .NET skills to the next level with this new edition of Apps and Services with .NET 8.With chapters that put a variety of technologies into practice, including Web API, gRPC, GraphQL, and SignalR, this book will give you a broader scope of knowledge than other books that often focus on only a handful of .NET technologies. You’ll dive into the new unified model for Blazor Full Stack and leverage .NET MAUI to develop mobile and desktop apps.This new edition introduces the latest enhancements, including the seamless implementation of web services with ADO.NET SqlClient's native Ahead-of-Time (AOT) support. Popular library coverage now includes Humanizer and Noda Time. There’s also a brand-new chapter that delves into service architecture, caching, queuing, and robust background services.By the end of this book, you’ll have a wide range of best practices and deep insights under your belt to help you build rich apps and efficient services.

Exam Ref AZ-104 Microsoft Azure Administrator Certification and Beyond. A pragmatic guide to achieving the Azure administration certification - Second Edition

Riaan Lowe, Donovan Kelly

Exam Ref AZ-104 Microsoft Azure Administrator Certification and Beyond covers all the exam objectives and will help you to earn the Microsoft Azure Administrator certification with ease. Whether you’re studying to pass the AZ-104 exam or just want hands-on experience in administering Azure, this AZ-104 study guide will help you to achieve your objectives.This book covers the latest Azure features and capabilities around configuring, managing, and securing Azure resources. Adhering to Microsoft's AZ-104 exam syllabus, this guide is divided into five modules. The first module will show you how to manage Azure identities and governance. You'll find out how to configure Azure subscription policies at the Azure subscription level and use Azure policies for resource groups. After that, the book covers techniques related to implementing and managing storage in Azure, enabling you to create and manage Azure Storage, including File and Blob storage. In the second module, you’ll learn how to deploy and manage Azure compute resources. The third and fourth modules will teach you about configuring and managing virtual networks and monitoring and backing up Azure resources. Finally, you'll work through mock tests, with answers provided, to prepare for this exam.By the end of this book, you'll have the skills needed to pass the AZ-104 exam and be able to expertly manage Azure.

Extending Power BI with Python and R. Ingest, transform, enrich, and visualize data using the power of analytical languages

Luca Zavarella, Francesca Lazzeri

Python and R allow you to extend Power BI capabilities to simplify ingestion and transformation activities, enhance dashboards, and highlight insights. With this book, you'll be able to make your artifacts far more interesting and rich in insights using analytical languages.You'll start by learning how to configure your Power BI environment to use your Python and R scripts. The book then explores data ingestion and data transformation extensions, and advances to focus on data augmentation and data visualization. You'll understand how to import data from external sources and transform them using complex algorithms. The book helps you implement personal data de-identification methods such as pseudonymization, anonymization, and masking in Power BI. You'll be able to call external APIs to enrich your data much more quickly using Python programming and R programming. Later, you'll learn advanced Python and R techniques to perform in-depth analysis and extract valuable information using statistics and machine learning. You'll also understand the main statistical features of datasets by plotting multiple visual graphs in the process of creating a machine learning model.By the end of this book, you’ll be able to enrich your Power BI data models and visualizations using complex algorithms in Python and R.

Mastering AWS CloudFormation. Plan, develop, and deploy your cloud infrastructure effectively using AWS CloudFormation

Karen Tovmasyan

DevOps and the cloud revolution have forced software engineers and operations teams to rethink how to manage infrastructures. With this AWS book, you'll understand how you can use Infrastructure as Code (IaC) to simplify IT operations and manage the modern cloud infrastructure effectively with AWS CloudFormation.This comprehensive guide will help you explore AWS CloudFormation from template structures through to developing complex and reusable infrastructure stacks. You'll then delve into validating templates, deploying stacks, and handling deployment failures. The book will also show you how to leverage AWS CodeBuild and CodePipeline to automate resource delivery and apply continuous integration and continuous delivery (CI/CD) practices to the stack. As you advance, you'll learn how to generate templates on the fly using macros and create resources outside AWS with custom resources. Finally, you'll improve the way you manage the modern cloud in AWS by extending CloudFormation using AWS serverless application model (SAM) and AWS cloud development kit (CDK).By the end of this book, you'll have mastered all the major AWS CloudFormation concepts and be able to simplify infrastructure management.

Windows Forensics Analyst Field Guide. Engage in proactive cyber defense using digital forensics techniques

Muhiballah Mohammed

In this digitally driven era, safeguarding against relentless cyber threats is non-negotiable. This guide will enable you to enhance your skills as a digital forensic examiner by introducing you to cyber challenges that besiege modern entities. It will help you to understand the indispensable role adept digital forensic experts play in preventing these threats and equip you with proactive tools to defend against ever-evolving cyber onslaughts.The book begins by unveiling the intricacies of Windows operating systems and their foundational forensic artifacts, helping you master the art of streamlined investigative processes. From harnessing opensource tools for artifact collection to delving into advanced analysis, you’ll develop the skills needed to excel as a seasoned forensic examiner. As you advance, you’ll be able to effortlessly amass and dissect evidence to pinpoint the crux of issues. You’ll also delve into memory forensics tailored for Windows OS, decipher patterns within user data, and log and untangle intricate artifacts such as emails and browser data.By the end of this book, you’ll be able to robustly counter computer intrusions and breaches, untangle digital complexities with unwavering assurance, and stride confidently in the realm of digital forensics.

Building ETL Pipelines with Python. Create and deploy enterprise-ready ETL pipelines by employing modern methods

Brij Kishore Pandey, Emily Ro Schoof

Modern extract, transform, and load (ETL) pipelines for data engineering have favored the Python language for its broad range of uses and a large assortment of tools, applications, and open source components. With its simplicity and extensive library support, Python has emerged as the undisputed choice for data processing.In this book, you’ll walk through the end-to-end process of ETL data pipeline development, starting with an introduction to the fundamentals of data pipelines and establishing a Python development environment to create pipelines. Once you've explored the ETL pipeline design principles and ET development process, you'll be equipped to design custom ETL pipelines. Next, you'll get to grips with the steps in the ETL process, which involves extracting valuable data; performing transformations, through cleaning, manipulation, and ensuring data integrity; and ultimately loading the processed data into storage systems. You’ll also review several ETL modules in Python, comparing their pros and cons when building data pipelines and leveraging cloud tools, such as AWS, to create scalable data pipelines. Lastly, you’ll learn about the concept of test-driven development for ETL pipelines to ensure safe deployments.By the end of this book, you’ll have worked on several hands-on examples to create high-performance ETL pipelines to develop robust, scalable, and resilient environments using Python.

Cracking the Data Engineering Interview. Land your dream job with the help of resume-building tips, over 100 mock questions, and a unique portfolio

Kedeisha Bryan, Taamir Ransome

Preparing for a data engineering interview can often get overwhelming due to the abundance of tools and technologies, leaving you struggling to prioritize which ones to focus on. This hands-on guide provides you with the essential foundational and advanced knowledge needed to simplify your learning journey.The book begins by helping you gain a clear understanding of the nature of data engineering and how it differs from organization to organization. As you progress through the chapters, you’ll receive expert advice, practical tips, and real-world insights on everything from creating a resume and cover letter to networking and negotiating your salary. The chapters also offer refresher training on data engineering essentials, including data modeling, database architecture, ETL processes, data warehousing, cloud computing, big data, and machine learning. As you advance, you’ll gain a holistic view by exploring continuous integration/continuous development (CI/CD), data security, and privacy. Finally, the book will help you practice case studies, mock interviews, as well as behavioral questions.By the end of this book, you will have a clear understanding of what is required to succeed in an interview for a data engineering role.

Windows Phone 7.5 Data Cookbook. Over 30 recipes for storing, managing, and manipulating data in Windows Phone 7.5 Mango applications

Ramesh Thalli

Windows Phone 7.5 Mango contains support for apps written in Silverlight or XNA. These apps can store data on the device, and also load and manipulate data from the cloud and other web services.This Windows Phone 7.5 Data Cookbook has a range of recipes to help you apply data handling concepts. You will be able to apply the knowledge gained from these recipes to build your own apps effectively. This Windows Phone 7.5 Data Cookbook starts with data binding concepts at the UI layer and then shows different ways of saving data locally and externally in databases. The book ends with a look at the popular MVVM software design pattern. The recipes contained in this book will make you an expert in the areas of data access and storage.

Configuration Management with Chef-Solo. A comprehensive guide to get you up and running with Chef-Solo

Naveed ur Rahman

Test-Driven iOS Development with Swift. Write maintainable, flexible, and extensible code using the power of TDD with Swift 5.5 - Fourth Edition

Dr. Dominik Hauser

Test-driven development (TDD) is a proven way to find software bugs earlier on in software development. Writing tests before you code improves the structure and maintainability of your apps, and so using TDD in combination with Swift 5.5's improved syntax leaves you with no excuse for writing bad code.Developers working with iOS will be able to put their knowledge to work with this practical guide to TDD in iOS. This book will help you grasp the fundamentals and show you how to run TDD with Xcode. You'll learn how to test network code, navigate between different parts of the app, run asynchronous tests, and much more. Using practical, real-world examples, you'll begin with an overview of the TDD workflow and get to grips with unit testing concepts and code cycles. You'll then develop an entire iOS app using TDD while exploring different strategies for writing tests for models, view controllers, and networking code. Additionally, you'll explore how to test the user interface and business logic of iOS apps and even write tests for the network layer of the sample app.By the end of this TDD book, you'll be able to implement TDD methodologies comfortably in your day-to-day development for building scalable and robust applications.

Learn Kotlin Programming. A comprehensive guide to OOP, functions, concurrency, and coroutines in Kotlin 1.3 - Second Edition

Stephen Samuel, Stefan Bocutiu

Kotlin is a general-purpose programming language used for developing cross-platform applications. Complete with a comprehensive introduction and projects covering the full set of Kotlin programming features, this book will take you through the fundamentals of Kotlin and get you up to speed in no time. Learn Kotlin Programming covers the installation, tools, and how to write basic programs in Kotlin. You'll learn how to implement object-oriented programming in Kotlin and easily reuse your program or parts of it. The book explains DSL construction, serialization, null safety aspects, and type parameterization to help you build robust apps. You'll learn how to destructure expressions and write your own. You'll then get to grips with building scalable apps by exploring advanced topics such as testing, concurrency, microservices, coroutines, and Kotlin DSL builders. Furthermore, you'll be introduced to the kotlinx.serialization framework, which is used to persist objects in JSON, Protobuf, and other formats.By the end of this book, you'll be well versed with all the new features in Kotlin and will be able to build robust applications skillfully.

Blender 3D Basics Beginner's Guide. A quick and easy-to-use guide to create 3D modeling and animation using Blender 2.7

Gordon Fisher

This book teaches you how to model a nautical scene, complete with boats and water, and then add materials, lighting, and animation. It demystifies the Blender interface and explains what each tool does so that you will be left with a thorough understanding of 3D. This book starts with an introduction to Blender and some background on the principles of animation, how they are applied to computer animation, and how these principles make animation better. Furthermore, the book helps you advance through various aspects of animation design such as modeling, lighting, camera work, and animation through the Blender interface with the help of several simple projects. Each project will help you practice what you have learned and do more advanced work in all areas.

Data Forecasting and Segmentation Using Microsoft Excel. Perform data grouping, linear predictions, and time series machine learning statistics without using code

Fernando Roque

Data Forecasting and Segmentation Using Microsoft Excel guides you through basic statistics to test whether your data can be used to perform regression predictions and time series forecasts. The exercises covered in this book use real-life data from Kaggle, such as demand for seasonal air tickets and credit card fraud detection.You’ll learn how to apply the grouping K-means algorithm, which helps you find segments of your data that are impossible to see with other analyses, such as business intelligence (BI) and pivot analysis. By analyzing groups returned by K-means, you’ll be able to detect outliers that could indicate possible fraud or a bad function in network packets.By the end of this Microsoft Excel book, you’ll be able to use the classification algorithm to group data with different variables. You’ll also be able to train linear and time series models to perform predictions and forecasts based on past data.

The Ruby Workshop. Develop powerful applications by writing clean, expressive code with Ruby and Ruby on Rails

Akshat Paul, Peter Philips, Dániel Szabó, Cheyne Wallace

The beauty of Ruby is its readability and expressiveness. Ruby hides away a lot of the complexity of programming, allowing you to work quickly and 'do more' with fewer lines of code. This makes it a great programming language for beginners, but learning any new skill can still be a daunting task. If you want to learn to code using Ruby, but don't know where to start, The Ruby Workshop will help you cut through the noise and make sense of this fun, flexible language.You'll start by writing and running simple code snippets and Ruby source code files. After learning about strings, numbers, and booleans, you'll see how to store collections of objects with arrays and hashes. You'll then learn how to control the flow of a Ruby program using boolean logic.The book then delves into OOP and explains inheritance, encapsulation, and polymorphism. Gradually, you'll build your knowledge of advanced concepts by learning how to interact with external APIs, before finally exploring the most popular Ruby framework ? Ruby on Rails ? and using it for web development.Throughout this book, you'll work on a series of realistic projects, including simple games, a voting application, and an online blog. By the end of this Ruby book, you'll have the knowledge, skills and confidence to creatively tackle your own ambitious projects with Ruby.