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Expert Oracle Database Architecture: Techniques and Solutions for High Performance and Productivity
by Darl Kuhn Thomas KyteNow in its fourth edition and covering Oracle Database 21c, this best-selling book continues to bring you some of the best thinking on how to apply Oracle Database to produce scalable applications that perform well and deliver correct results. Tom Kyte and Darl Kuhn share a simple philosophy: "you can treat Oracle as a black box and just stick data into it, or you can understand how it works and exploit it as a powerful computing environment." If you choose the latter, then you’ll find that there are few information management problems that you cannot solve quickly and elegantly.This fully revised fourth edition covers the developments and new features up to Oracle Database 21c. Up-to-date features are covered for tables, indexes, data types, sequences, partitioning, data loading, temporary tables, and more. All the examples are demonstrated using modern techniques and are executed in container and pluggable databases. The book’s proof-by-example approach encourages you to let evidence be your guide. Try something. See the result. Understand why the result is what it is. Apply your newfound knowledge with confidence. The book covers features by explaining how each one works, how to implement software using it, and the common pitfalls associated with it. Don’t treat Oracle Database as a black box. Get this book. Dive deeply into Oracle Database’s most powerful features that many do not invest the time to learn about. Set yourself apart from your competition and turbo-charge your career.What You Will LearnIdentify and effectively resolve application performance issues and bottlenecksArchitect systems to leverage the full power and feature set of Oracle’s database engineConfigure a database to maximize the use of memory structures and background processesUnderstand internal locking and latching technology and how it impacts your systemProactively recommend best practices around performance for table and index structuresTake advantage of advanced features such as table partitioning and parallel executionWho This Book Is ForOracle developers and Oracle DBAs. If you’re a developer and want a stronger understanding of Oracle features and architecture that will enable your applications to scale regardless of the workload, this book is for you. If you’re a DBA and want to intelligently work with developers to design applications that effectively leverage Oracle technology, then look no further.
Hands-On Guide to AgileOps: A Guide to Implementing Agile, DevOps, and SRE for Cloud Operations
by Navin Sabharwal Raminder Rathore Udita AgrawalDiscover the best practices for transforming cloud and infrastructure operations by using Agile, Scrum, Kanban, Scrumban and Spotify models. This book will help you gain an in-depth understanding of these processes so that you can apply them to your own work. The book begins by offering an overview of current processes and methods used in IT Operations using ITIL and IT4IT. The Authors provide a background of the Agile, Scrum, Kanban, SaFe, Scrumban, and Spotify models used in software development. You’ll then gain in-depth guidance and best practices to implement Agile in the Operations world. You’ll see how Agile, Site Reliability Engineering and DevOps work in tandem to provide the foundation for modern day infrastructure and cloud operations. The book also offers a comparison of various agile processes and their suitability to the infrastructure and cloud operations world. After completing this is hands-on guide, you’ll know how to adopt Agile, DevOps and SRE and select the most suitable processes for your organization to achieve higher reliability, agility and lower costs while running cloud and infrastructure operations. What You Will LearnUnderstand how cloud computing and microservices architecture are changing operations dynamicsUnderstand ITIL, IT4IT, and LeanLearn how Site Reliability Engineering, Agile and DevOps work in tandemLeverage Agile, Scrum, Kanban, Scrumban, and Spotify models to run cloud operationsUse Site Reliability techniques along with Agile and DevOpsStudy the different agile frameworks (Spotify, SAFe, LeSS, DAD, Nexus), their purpose, benefits and implementation approaches.Learn a step-by-step process to identify and implement these frameworks in your organization Who This Book is For Infrastructure architects, DevOps architects, Agile practitioners, DevSecOps Experts, Product Managers/Scrum Masters, DevOps Engineers.
CI/CD Pipeline Using Jenkins Unleashed: Solutions While Setting Up CI/CD Processes
by Pranoday Pramod DingareUnderstand continuous integration (CI), continuous delivery, and continuous deployment (CD) with Jenkins. These processes allow users as well as administrators to catch problems as soon as they get injected into software systems.This book starts with an introduction to Jenkins and covers its architecture and role in CI/CD. The basics are covered, including installing and configuring Jenkins. Tool configuration and plugins are discussed as well as available security measures such as credentials. You will learn what is meant by Job in Jenkins, its types, sections, and much more. You will look at Java API: projects, jobs, configuration. The concluding chapters take you through creating pipelines, their role in managing web apps, and distributed pipelines. The book also covers unit testing using TestNG as well as end-to-end testing using Selenium Python as a part of building a life cycle and setting up Jenkins on different physical and Docker environments as well as Jenkins integration with cloud environments such as AWS. And you will learn how to create reusable libraries for use in Jenkins Pipeline and control Jenkins servers using Jenkins CLI and REST APIs. The new Jenkins Blue Ocean also is covered. The book helps you understand CI/CD implementation using Jenkins from scratch in your projects and prepare for end-to-end DevOps practices. What You Will LearnApply Jenkins to create end-to-end pipelinesIntegrate Jenkins with AWS, Docker, Git, and many more toolsUse Selenium automation for end-to-end testingCreate distributed pipelines Who Is This Book ForDevelopers and test automation professionals who are involved in creating CI/CD pipelines as well as prospective DevOps aspirants who want to make their way ahead as professionals
Implementing Always On VPN: Modern Mobility with Microsoft Windows 10 and Windows Server 2022
by Richard M. HicksImplement and support Windows 10 Always On VPN, the successor to Microsoft's popular DirectAccess. This book teaches you everything you need to know to test and adopt the technology at your organization that is widely deployed around the world.The book starts with an introduction to Always On VPN and discusses fundamental concepts and use cases to compare and contrast it with DirectAccess. You will learn the prerequisites required for implementation and deployment scenarios. The book presents the details of recommended VPN protocols, client IP address assignment, and firewall requirements. Also covered is how to configure Routing and Remote Access Service (RRAS) along with security and performance optimizations. The Configuration Service Provider (CSP) is discussed, and you will go through provisioning Always On VPN to Windows 10 clients using PowerShell and XML as well as Microsoft Intune. Details about advanced client configuration and integration with Azure security services are included. You will know how to implement Always On VPN infrastructure in a redundant and highly available (HA) configuration, and guidance for ongoing system maintenance and operational support for the VPN and NPS infrastructure is provided. And you will know how to diagnose and troubleshoot common issues with Always On VPN.After reading this book, you will be able to plan, design, and implement a Windows 10 Always On VPN solution to meet your specific requirements.What Will You LearnPrepare your infrastructure to support Windows 10 Always On VPN on premises or in the cloudProvision and manage Always On VPN clients using modern management methods such as IntuneUnderstand advanced integration concepts for extending functionality with Microsoft AzureTroubleshoot and resolve common configuration and operational errors for your VPNWho This Book Is ForIT professionals and technology administrators for organizations of all sizes
Phishing and Communication Channels: A Guide to Identifying and Mitigating Phishing Attacks
by Gunikhan SonowalMitigate the dangers posed by phishing activities, a common cybercrime carried out through email attacks. This book details tools and techniques to protect against phishing in various communication channels. The aim of phishing is to fraudulently obtain sensitive credentials such as passwords, usernames, or social security numbers by impersonating a trustworthy entity in a digital communication. Phishing attacks have increased exponentially in recent years, and target all categories of web users, leading to huge financial losses to consumers and businesses. According to Verizon’s 2020 Data Breach Investigations Report (DBIR), 22% of all breaches in 2019 involved phishing. And 65% of organizations in the USA experience a successful phishing attack. This book discusses the various forms of phishing attacks, the communications most often used to carry out attacks, the devices used in the attacks, and the methods used to protect individuals and organizations from phishing attacks.What You Will Learn Understand various forms of phishing attacks, including deceptive, DNS-based, search engine, and contents injection phishingKnow which communications are most commonly used, including email, SMS, voice, blog, wifi, and moreBe familiar with phishing kits (what they are) and how security experts utilize them to improve user awarenessBe aware of the techniques that attackers most commonly use to request informationMaster the best solutions (including educational, legal, technical) to protect against phishing attacks Who This Book Is For Security professionals who need to educate online users, especially those who deal with banks, online stores, payment systems, governments organizations, social networks and blogs, IT companies, telecommunications companies, and others. The secondary audience includes researchers working to develop novel strategies to fight against phishing activities and undergraduate and graduate instructors of cybersecurity.
Building Applications with Azure Resource Manager (ARM): Leverage IaC to Vastly Improve the Life Cycle of Your Applications
by David RendónLearn how to leverage infrastructure as code with Azure Resource Manager (ARM) and the best practices to build, test, debug, and deploy your applications in Microsoft Azure using ARM templates and the new domain-specific language Bicep.As organizations consider moving partially or fully to the cloud, infrastructure as code (IaC) has become a key component to improving time to market for their applications. However, it is critical that enterprise infrastructure professionals use the right resources and strategies to build the infrastructure required to run applications in the cloud. Azure cloud-native components and capabilities automate the build and deployment process, offering a myriad of compelling reasons to leverage IaC to build your applications in Azure.Starting with the evolution of the software-defined approach and building on the basic concepts of infrastructure as code, this book provides you with comprehensive guidance to learn Azure Resource Manager from the ground up. You will learn the best practices for deploying and maintaining application infrastructure, such as template authoring tooling enhancements, Azure DevOps integrations, and updates to the deployment platform.After reading this book, you will understand the breadth and use cases of ARM capabilities and tooling within Microsoft Azure. You will be able to build, test, debug, and deploy your ARM templates and know how to use infrastructure as code to better manage the life cycle of your applications in Azure.What You Will LearnIntroduces the concepts of infrastructure as code and how to leverage it using Azure Resource ManagerTeaches how to enable and deploy Azure Resource Manager templatesCovers the basic core elements of an ARM template to start authoring your templates and building your applications in the cloudDives into core components such as parameters, variables, functions, dependencies, deployment modes, loops, conditions), enabling nested templates Reveals the built-in services and features in Azure, allowing the debugging process and validation process of the ARM templatesDiscusses “Bicep” the language for ARM templates and the DevOps integration to deploy ARM templatesWho This Book Is ForPeople who build, install, repair, or maintain the hardware and software associated with computer systems on-premises and who want to learn about the deployment and provisioning process of applications in the Microsoft Cloud using an infrastructure as code approach through Azure Resource Manager. Readers should have an Azure account and be familiar with the main Azure services (storage, compute, networking, management). Basic knowledge of PowerShell is also useful.
Robot Operating System (ROS) for Absolute Beginners: Robotics Programming Made Easy
by Lentin Joseph Aleena JohnyStart programming your own robots using Robot Operation System (ROS). Targeted for absolute beginners in ROS, Linux, and Python, this guide lets you build your own robotics projects. You'll learn the basic foundation of Ubuntu Linux. Begin with the fundamentals. Installation and useful commands will give you the basic tools you need while programming a robot. Then add useful software applications that can be used while making robots. Programming robots can be done using any of the programming languages. Most popular programming languages are Python and C++. You will incorporate the fundamentals of C++ by learning object oriented programing concepts from example and building C++ projects.Finally, tackle an ROS hands-on project to apply all the concepts of ROS you've learned. The aim of the project is to perform a dead-reckoning using a cheap mobile robot. You can command your robot's position on Rviz and your robot will move to that position! Not only will you learn to program, you'll gain hands-on experience working with hardware to create a real robot.What You’ll LearnInstall Ubuntu 20Install ROS NoeticUse ROS Programming with roscpp and rospy Build a mobile robot from scratch using ROSWho This Book Is ForRobotics enthusiast with little or no prior programming experience.
RP2040 Assembly Language Programming: ARM Cortex-M0+ on the Raspberry Pi Pico
by Stephen SmithLearn to program the Raspberry Pi Pico’s dual ARM Cortex M0+ CPUs in Assembly Language. The Pico contains a customer System on a Chip (SoC) called the RP2040, making it the Foundation’s first entry into the low-cost microcontroller market. The RP2040 contains a wealth of coprocessors for performing arithmetic as well as performing specialized I/O functionality. This book will show you how these CPUs work from a low level, easy-to-learn perspective. There are eight new Programmable I/O (PIO) coprocessors that have their own specialized Assembly Language supporting a wide variety of interface protocols. You'll explore these protocols and write programs or functions in Assembly Language and interface to all the various bundled hardware interfaces. Then go beyond working on your own board and projects to contribute to the official RP2040 SDK. Finally, you'll take your DIY hardware projects to the next level of performance and functionality with more advanced programming skills. What You'll LearnRead and understand the Assembly Language code that is part of the Pico’s SDKIntegrate Assembly Language and C code together into one programInterface to available options for DIY electronics and IoT projectsWho This Book Is ForMakers who have already worked with microcontrollers, such as the Arduino or Pico, programming in C or Python. Those interested in going deeper and learning how these devices work at a lower level, by learning Assembly Language.
Beginning iOS Game Center and GameKit: For iOS, tvOS, and MacOS
by Kyle Richter Beau G. BolleCreate fun and polished games and gamify your apps with GameKit and Game Center. This fully updated new edition of Kyle Richter’s classic can help you reach new customers through social integrations, multiplayer, and achievements. Quickly add a level of polish to your apps that used to take weeks of hard work and late nights.Implementing a leaderboard and achievement system has never been so simple! Gone are the days of writing and maintaining your own server. You'll also see how to easily add advanced networking concepts like VoIP support in hours, not days. Game Center is heavily pushed and promoted by Apple. By adding Game Center into your game, not only do you gain access to polished and professional features but your app will see a boost in downloads and sharing.Expeditiously implement a plethora of advanced social networking concepts into your apps. Create custom Game Center Manager classes that can be rapidly deployed into any of your new or existing projects. And jump right over pitfalls commonly encountered by new and experienced Game Center developers. Become a Game Center development champ! What You'll LearnBuild a reusable Game Center manager class that can be quickly used in future projectsIntegrate Game Kit and Game Center leaderboards and Achievements into your projectAdd real time and turned based multiplayer functionality to your gameImplement a real time voice chat systemWho This Book Is ForExperienced developers who already have a basic understanding of iOS development but haven’t yet had a chance to work with GameKit technology will benefit from this book.
PowerShell Fast Track: Hacks for Non-Coders
by Vikas SukhijaCreate complex scripts in PowerShell and learn how to connect them to cloud services like Azure and Azure AD. This book will help you learn PowerShell by providing small “cheat” snippets that you can combine to write efficient and effective scripts. PowerShell Fast Track starts with the basics of PowerShell before moving on to discuss functions like date and logs, along with concepts such as inputs for your scripts. Author Vikas Sukhija then walks you through interactive input and Snapins modules, where you will learn GUI button prompts and how to import sessions. He’ll then show you how to report errors through email and log errors to a text file. Reporting CSV (Comma Separate Value) is discussed next, followed by a demonstration of miscellaneous functions, including how to connect your PowerShell scripts with Azure, SharePoint, Teams and other services. As you progress further, you’ll see how PowerShell provides powerful features for automation that can be leveraged for managing your Teams workload. Finally, using practical examples, you will learn how to implement and create scripts for day-to-day usage. After reading this book, you will be able to hit the ground running and use PowerShell’s powerful features in your own work. What Will You Learn: Utilize code Snippets to perform practical tasksCombine the code to create more complex scripts.Logging and reportingConnect to various products such as Exchange, SharePoint, Teams, and AzureAD Who Is This Book For: System administrators
Data Science Solutions with Python: Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn
by Tshepo Chris NokeriApply supervised and unsupervised learning to solve practical and real-world big data problems. This book teaches you how to engineer features, optimize hyperparameters, train and test models, develop pipelines, and automate the machine learning (ML) process. The book covers an in-memory, distributed cluster computing framework known as PySpark, machine learning framework platforms known as scikit-learn, PySpark MLlib, H2O, and XGBoost, and a deep learning (DL) framework known as Keras. The book starts off presenting supervised and unsupervised ML and DL models, and then it examines big data frameworks along with ML and DL frameworks. Author Tshepo Chris Nokeri considers a parametric model known as the Generalized Linear Model and a survival regression model known as the Cox Proportional Hazards model along with Accelerated Failure Time (AFT). Also presented is a binary classification model (logistic regression) and an ensemble model (Gradient Boosted Trees). The book introduces DL and an artificial neural network known as the Multilayer Perceptron (MLP) classifier. A way of performing cluster analysis using the K-Means model is covered. Dimension reduction techniques such as Principal Components Analysis and Linear Discriminant Analysis are explored. And automated machine learning is unpacked. This book is for intermediate-level data scientists and machine learning engineers who want to learn how to apply key big data frameworks and ML and DL frameworks. You will need prior knowledge of the basics of statistics, Python programming, probability theories, and predictive analytics. What You Will LearnUnderstand widespread supervised and unsupervised learning, including key dimension reduction techniquesKnow the big data analytics layers such as data visualization, advanced statistics, predictive analytics, machine learning, and deep learningIntegrate big data frameworks with a hybrid of machine learning frameworks and deep learning frameworksDesign, build, test, and validate skilled machine models and deep learning modelsOptimize model performance using data transformation, regularization, outlier remedying, hyperparameter optimization, and data split ratio alteration Who This Book Is ForData scientists and machine learning engineers with basic knowledge and understanding of Python programming, probability theories, and predictive analytics
Statistical Analysis with Swift: Data Sets, Statistical Models, and Predictions on Apple Platforms
by Jimmy AnderssonWork with large data sets, create statistical models, and make predictions with statistical methods using the Swift programming language. The variety of problems that can be solved using statistical methods range in fields from financial management to machine learning to quality control and much more. Those who possess knowledge of statistical analysis become highly sought after candidates for companies worldwide. Starting with an introduction to statistics and probability theory, you will learn core concepts to analyze your data's distribution. You'll get an introduction to random variables, how to work with them, and how to leverage their properties in computations. On top of the mathematics, you’ll learn several essential features of the Swift language that significantly reduce friction when working with large data sets. These functionalities will prove especially useful when working with multivariate data, which applies to most information in today's complex world. Once you know how to describe a data set, you will learn how to create models to make predictions about future events. All provided data is generated from real-world contexts so that you can develop an intuition for how to apply statistical methods with Swift to projects you’re working on now. You will:• Work with real-world data using the Swift programming language • Compute essential properties of data distributions to understand your customers, products, and processes • Make predictions about future events and compute how robust those predictions are
Azure Arc-Enabled Kubernetes and Servers: Extending Hyperscale Cloud Management to Your Datacenter
by Steve Buchanan John JoynerWelcome to this introductory guide to using Microsoft’s Azure Arc service, a new multi-cloud management platform that belongs in every cloud or DevOps estate. As many IT pros know, servers and Azure Kubernetes Service drive a huge amount of consumption in Azure—so why not extend familiar management tools proven in Azure to on-premises and other cloud networks? This practical guide will get you up to speed quickly, with instruction that treads light on the theory and heavy on the hands-on experience to make setting up Azure Arc servers and Kubernetes across multiple clouds a lot less complex. Azure experts and MVPs Buchanan and Joyner provide just the right amount of context so you can grasp important concepts, and get right to the business of using and gaining value from Azure Arc. If your organization has resources across hybrid cloud, multi-cloud, and edge environments, then this book is for you. You will learn how to configure and use Azure Arc to uniformly manage workloads across all of these environments. What You Will Learn Introduces the basics of hybrid, multi-cloud, and edge computing and how Azure Arc fits into that IT strategyTeaches the fundamentals of Azure Resource Manager, setting the reader up with the knowledge needed on the technology that underpins Azure ArcOffers insights into Azure native management tooling for managing on-premises servers and extending to other clouds Details an end-to-end hybrid server monitoring scenario leveraging Azure Monitor and/or Azure Sentinel that is seamlessly delivered by Azure Arc Defines a blueprint to achieve regulatory compliance with industry standards using Azure Arc, delivering Azure Policy from Azure Defender for Servers Explores how Git and GitHub integrate with Azure Arc; delves into how GitOps is used with Azure ArcEmpowers your DevOps teams to perform tasks that typically fall under IT operationsDives into how to best use Azure CLI with Azure Arc Who This Book Is ForDevOps, system administrators, security professionals, and IT workers responsible for servers both on-premises and in the cloud. Some experience in system administration, DevOps, containers, and use of Git/GitHub is helpful.
Game Development with MonoGame: Build a 2D Game Using Your Own Reusable and Performant Game Engine
by Louis Salin Rami MorrarCreate a polished game that includes many levels and fights using MonoGame. This book will show you how to add AI agents and 2D physics into your game, while improving the performance of the game engine. By the end of Game Development with MonoGame, you will have created a game worthy of being published. Over the course of this book, you will be exposed to advanced game development concepts such as scripting and AI as you improve the performance of the game engine with better memory management. You will learn how to create a level editor that you will use to build game levels. You will also pick up tips and tricks for adding polish to your game project by adding a camera system, layers, menus, and improving the game’s graphics using pixel shaders and better particle effects. Upon completing this book, you will have a clear understanding of the steps required to build a game from start to finish and what it takes to create a 2D game that could ultimately be published. What You Will Learn Write a performant 2D game engineScript the behavior of game objectsBuild and use a level editor for your gameAdd a UI to your game Who Is This Book For Intermediate to advanced C# developers with knowledge of MonoGame. Basic knowledge of how to install and use the 2D capabilities of MonoGame is required, along with knowledge on how to use the content pipeline tool.
C and Python Applications: Embedding Python Code in C Programs, SQL Methods, and Python Sockets
by Philip JoyceSolve problems by embedding Python code in a C programs, SQL methods, Python sockets. This book uses rudimentary mathematics and basic programming to create practical Python applications for embedding. You'll start with an introduction to C and Python, assuming a fundamental understanding of what programming is. You will also review the basics of the database management language, SQL. You will learn how to use SQL from a C program and from a Python program. C and Python have different programming strengths, and you will learn how to write a Python program embedded within a C program to profit from the strength of each, in one program. Finally, you will explore how socket programs enable two computers to communicate with each other. Here the book covers basic server-client, basic threaded, and basic chat programs. What You Will LearnReview basic Python and C coding Understand the methods of embedding Python code within a C programCreate typical programs in Python and C using SDKWork with socket applications in PythonWho This Book Is ForProgrammers and computational modelers with at least some prior experience with programming in C and Python as well as programming in general.
Machine Learning with PySpark: With Natural Language Processing and Recommender Systems
by Pramod SinghMaster the new features in PySpark 3.1 to develop data-driven, intelligent applications. This updated edition covers topics ranging from building scalable machine learning models, to natural language processing, to recommender systems. Machine Learning with PySpark, Second Edition begins with the fundamentals of Apache Spark, including the latest updates to the framework. Next, you will learn the full spectrum of traditional machine learning algorithm implementations, along with natural language processing and recommender systems. You’ll gain familiarity with the critical process of selecting machine learning algorithms, data ingestion, and data processing to solve business problems. You’ll see a demonstration of how to build supervised machine learning models such as linear regression, logistic regression, decision trees, and random forests. You’ll also learn how to automate the steps using Spark pipelines, followed by unsupervised models such as K-means and hierarchical clustering. A section on Natural Language Processing (NLP) covers text processing, text mining, and embeddings for classification. This new edition also introduces Koalas in Spark and how to automate data workflow using Airflow and PySpark’s latest ML library. After completing this book, you will understand how to use PySpark’s machine learning library to build and train various machine learning models, along with related components such as data ingestion, processing and visualization to develop data-driven intelligent applications What you will learn: Build a spectrum of supervised and unsupervised machine learning algorithmsUse PySpark's machine learning library to implement machine learning and recommender systems Leverage the new features in PySpark’s machine learning libraryUnderstand data processing using Koalas in Spark Handle issues around feature engineering, class balance, bias and variance, and cross validation to build optimally fit models Who This Book Is For Data science and machine learning professionals.
Practical AI for Healthcare Professionals: Machine Learning with Numpy, Scikit-learn, and TensorFlow
by Abhinav SuriPractical AI for Healthcare Professionals Artificial Intelligence (AI) is a buzzword in the healthcare sphere today. However, notions of what AI actually is and how it works are often not discussed. Furthermore, information on AI implementation is often tailored towards seasoned programmers rather than the healthcare professional/beginner coder. This book gives an introduction to practical AI in the medical sphere, focusing on real-life clinical problems, how to solve them with actual code, and how to evaluate the efficacy of those solutions. You’ll start by learning how to diagnose problems as ones that can and cannot be solved with AI. You’ll then learn the basics of computer science algorithms, neural networks, and when each should be applied. Then you’ll tackle the essential parts of basic Python programming relevant to data processing and making AI programs. The Tensorflow/Keras library along with Numpy and Scikit-Learn are covered as well. Once you’ve mastered those basic computer science and programming concepts, you can dive into projects with code, implementation details, and explanations. These projects give you the chance to explore using machine learning algorithms for issues such as predicting the probability of hospital admission from emergency room triage and patient demographic data. We will then use deep learning to determine whether patients have pneumonia using chest X-Ray images. The topics covered in this book not only encompass areas of the medical field where AI is already playing a major role, but also are engineered to cover as much as possible of AI that is relevant to medical diagnostics. Along the way, readers can expect to learn data processing, how to conceptualize problems that can be solved by AI, and how to program solutions to those problems. Physicians and other healthcare professionals who can master these skills will be able to lead AI-based research and diagnostic tool development, ultimately benefiting countless patients.
Web App Development and Real-Time Web Analytics with Python: Develop and Integrate Machine Learning Algorithms into Web Apps
by Tshepo Chris NokeriLearn to develop and deploy dashboards as web apps using the Python programming language, and how to integrate algorithms into web apps. Author Tshepo Chris Nokeri begins by introducing you to the basics of constructing and styling static and interactive charts and tables before exploring the basics of HTML, CSS, and Bootstrap, including an approach to building web pages with HTML. From there, he’ll show you the key Python web frameworks and techniques for building web apps with them. You’ll then see how to style web apps and incorporate themes, including interactive charts and tables to build dashboards, followed by a walkthrough of creating URL routes and securing web apps. You’ll then progress to more advanced topics, like building machine learning algorithms and integrating them into a web app. The book concludes with a demonstration of how to deploy web apps in prevalent cloud platforms. Web App Development and Real-Time Web Analytics with Python is ideal for intermediate data scientists, machine learning engineers, and web developers, who have little or no knowledge about building web apps that implement bootstrap technologies. After completing this book, you will have the knowledge necessary to create added value for your organization, as you will understand how to link front-end and back-end development, including machine learning. What You Will Learn Create interactive graphs and render static graphs into interactive ones Understand the essentials of HTML, CSS, and Bootstrap Gain insight into the key Python web frameworks, and how to develop web applications using them Develop machine learning algorithms and integrate them into web apps Secure web apps and deploy them to cloud platforms Who This Book Is For Intermediate data scientists, machine learning engineers, and web developers.
Tableau for Business Users: Learn to Automate and Simplify Dashboards for Better Decision Making
by Shankar ArulLearn Tableau by working through concrete examples and issues that you are likely to face in your day-to-day work. Author Shankar Arul starts by teaching you the fundamentals of data analytics before moving on to the core concepts of Tableau. You will learn how to create calculated fields, and about the currently available calculation functionalities in Tableau, including Basic Expressions, Level of Detail (LOD) Expressions, and Table Calculations. As the book progresses, you’ll be walked through comparisons and trend calculations using tables. A concluding chapter on dashboarding will show you how to build actionable dashboards to communicate analysis and visualizations. You’ll also see how Tableau can complement and communicate with Excel. After completing this book, you will be ready to tackle the challenges of data analytics using Tableau without getting bogged down by the technicalities of the tool. What Will You Learn Master the core concepts of Tableau Automate and simplify dashboards to help business users Understand the basics of data visualization techniques Leverage powerful features such as parameters, table calculations, level of detail expressions, and more Who is This book For Business analysts, data analysts, as well as financial analysts.
Getting Started with Secure Embedded Systems: Developing IoT Systems for micro:bit and Raspberry Pi Pico Using Rust and Tock
by Alexandru Radovici Ioana CulicBuild secure and reliable IoT applications for micro:bit and Raspberry Pi Pico by using Rust and Tock. One of the first Operating Systems written in Rust, Tock is designed to safely run multiple applications on low power devices, enabling you to build a secure foundation for IoT systems. It is an open-source OS that has recently gained popularity as companies such as Google[1] explore and integrate it into their products. This book guides you through the steps necessary to customize and integrate Tock into your devices. First, you'll explore the characteristics of Tock and how to run it on two of the most popular IoT platforms: micro:bit and Raspberry Pi Pico. You’ll also take a look at Rust and how to use it for building secure applications with Tock. The book focuses on the Tock kernel internals and presents the steps necessary to integrate new features. From simple drivers to the more complex asynchronous ones, you are provided with a detailed description of the Tock kernel API. Next, you'll review the Tock applications framework for C. Starting from simple Tock APIs to the more complex Inter-Process Communication system, this book provides a complete overview of the Tock application ecosystem. By taking a practical approach, Getting Started with Secure Embedded Systems provides a starting point for building a secure IoT foundation using the Tock Operating System. You will: Use Rust for embedded systems development Write applications and drivers for Tock Customize the Tock kernel for specific hardware platforms Set a solid base for building secure and reliable IoT applications Use Tock to ensure the security of your microcontrollers and integrate them into your projects Manage products that rely on Tock Who This Book Is For IoT system designers, developers, and integrators who are familiar with operating systems concepts. The book can also be suitable for people with less experience, who want to gain an overview of the latest hardware and software technologies related to building secure IoT systems.
Language Server Protocol and Implementation: Supporting Language-Smart Editing and Programming Tools
by Nadeeshaan Gunasinghe Nipuna MarcusUnderstand the important aspects of implementing a production-grade language server in support of language-smart tools such as code editors and other programming utilities. This book shows you how to create a single implementation of a language server that can be used by multiple tools, enabling you to do the job once in a way that can be shared and reused. This book covers the language server protocol used for communication between programming tools and your language server. The book also provides an in-depth understanding of the design, implementation, and user experience aspects which should be considered when implementing a language server. The book walks you through an example language server implementation to illustrate the basic concepts, then goes on to cover advanced aspects of language server use such as progress reporting, launchers, and extension points. User experience is an important aspect of language server implementation and different tooling vendors strive to provide their own unique user experiences. This book explains how the protocol features can be leveraged to address the unique developer experience provided by different tooling vendors. The book also shows how to enhance the smoothness of the editing experience by orchestrating multiple features together.What You Will LearnImplement a language server from scratchUnderstand language server protocol and its data modelsLeverage the protocol while preserving the unique user experience of different editorsExtend the protocol to support more than its standard capabilitiesRun a language server on top of launchers such as standard I/O and TCP socketSeamlessly incorporate language semantics into your protocol featuresWho This Book Is ForDevelopers focused on and passionate about implementing language development tools such as plug-ins and extensions for interactive development environments (IDEs) or other tools that rely upon parsing of language statements and commands, and developers who need an in-depth understanding of the language server protocol as well as how to use the language server protocol to develop extensible language services
Design and Deploy Microsoft Azure Virtual Desktop: An Essential Guide for Architects and Administrators
by Puthiyavan UdayakumarDesign and build the new desktop service from Microsoft. This book offers a modern framework, design methodology, and best practices of design and deployment for virtual apps and desktops.Microsoft Azure Virtual Desktop (AVD) is a Desktop as a Service (DaaS) which is simple to deploy, accessible from any device, easy to manage, and secure. The book starts with AVD essentials and its critical features, followed by the planning and method of preparing for AVD. You will go through defining the requirements and assessing by setting the AVD application baseline, network requirements, and security requirements. Next, you will learn how to design and deploy the core infrastructure of Microsoft AVD to understand its Access Layer, Control Layer, Resource Layer, Hosting Layer, and User Layer. You will also learn how to design the desktop and Host Pool of AVD. And you will learn the modern way to manage and secure AVD components.After reading this book, you will have the right blend of knowledge and skills to set up and run the Azure cloud-based virtual desktop and virtual applications.What You Will LearnUnderstand the key design and deployment essentials of AVDPlan, gather requirements, and assess for AVDDesign and deploy Core Infrastructure of Microsoft AVDIntegrate with profile and personalization managementMonitor and secure Azure virtual desktopsWho Is This Book For:AVD system administrators and AVD system architects
IT Security Controls: A Guide to Corporate Standards and Frameworks
by Virgilio Viegas Oben KuyucuUse this reference for IT security practitioners to get an overview of the major standards and frameworks, and a proposed architecture to meet them. The book identifies and describes the necessary controls and processes that must be implemented in order to secure your organization's infrastructure.The book proposes a comprehensive approach to the implementation of IT security controls with an easily understandable graphic implementation proposal to comply with the most relevant market standards (ISO 27001, NIST, PCI-DSS, and COBIT) and a significant number of regulatory frameworks from central banks across the World (European Union, Switzerland, UK, Singapore, Hong Kong, India, Qatar, Kuwait, Saudi Arabia, Oman, etc.). To connect the book with the real world, a number of well-known case studies are featured to explain what went wrong with the biggest hacks of the decade, and which controls should have been in place to prevent them. The book also describes a set of well-known security tools available to support you.What You Will LearnUnderstand corporate IT security controls, including governance, policies, procedures, and security awarenessKnow cybersecurity and risk assessment techniques such as penetration testing, red teaming, compliance scans, firewall assurance, and vulnerability scansUnderstand technical IT security controls for unmanaged and managed devices, and perimeter controlsImplement security testing tools such as steganography, vulnerability scanners, session hijacking, intrusion detection, and more Who This Book Is For IT security managers, chief information security officers, information security practitioners, and IT auditors will use the book as a reference and support guide to conduct gap analyses and audits of their organizations’ IT security controls implementations.
Interpreting Machine Learning Models: Learn Model Interpretability and Explainability Methods
by Anirban Nandi Aditya Kumar PalUnderstand model interpretability methods and apply the most suitable one for your machine learning project. This book details the concepts of machine learning interpretability along with different types of explainability algorithms. You’ll begin by reviewing the theoretical aspects of machine learning interpretability. In the first few sections you’ll learn what interpretability is, what the common properties of interpretability methods are, the general taxonomy for classifying methods into different sections, and how the methods should be assessed in terms of human factors and technical requirements. Using a holistic approach featuring detailed examples, this book also includes quotes from actual business leaders and technical experts to showcase how real life users perceive interpretability and its related methods, goals, stages, and properties. Progressing through the book, you’ll dive deep into the technical details of the interpretability domain. Starting off with the general frameworks of different types of methods, you’ll use a data set to see how each method generates output with actual code and implementations. These methods are divided into different types based on their explanation frameworks, with some common categories listed as feature importance based methods, rule based methods, saliency maps methods, counterfactuals, and concept attribution. The book concludes by showing how data effects interpretability and some of the pitfalls prevalent when using explainability methods. What You’ll LearnUnderstand machine learning model interpretability Explore the different properties and selection requirements of various interpretability methodsReview the different types of interpretability methods used in real life by technical experts Interpret the output of various methods and understand the underlying problems Who This Book Is For Machine learning practitioners, data scientists and statisticians interested in making machine learning models interpretable and explainable; academic students pursuing courses of data science and business analytics.
Azure Kubernetes Services with Microservices: Understanding Its Patterns and Architecture
by Kasam Ahmed Shaikh Shailesh S. AgaskarDesign and implement scalable microservices using Azure Kubernetes Services (AKS) and other Azure Services. This book will help you understand why and when to choose microservices as a solution for modernization and how to use Azure DevOps to implement CI/CD for deploying microservices. The book starts with an introduction to the evolution to microservices and AKS along with its components. You will learn design patterns to implement microservices on AKS and understand Kubernetes as a container orchestration platform. You will go through the common errors faced in AKS-based applications and ways to handle them. You will learn error handling tips and tricks and how to design for business continuity and disaster recovery. The book discusses things you should know related to security and monitoring when working with AKS-based applications. The book presents a practical approach to set up processes for CI/CD, such as building Build and release pipelines for AKS deployment using Azure DevOps. After reading this book, you will understand design considerations for designing scalable microservices and know how to implement the design through AKS. What You Will LearnKnow design patterns for microservices and how to handle failure scenariosBe aware of architecture and design considerationsUnderstand container and Kubernetes architecture componentsUnderstand security and monitoring aspectsTake a practical approach to continuous integration and continuous deliveryWho This Book Is ForIT professionals associated with cloud computing, especially with Microsoft Azure