Build APIs and web apps based on Asynchronous Server Gateway Interface (ASGI). This book provides a comprehensive explanation of using Pydantic models to construct the request/response objects in a FASTAPI path operation. Yoüll start by reviewing type hints in Python and the asynchronous processing concepts. One of the highlights of FastAPI is its auto generation of API docs. Pydantic library is the main pillar on top of which FastAPI is built. Yoüll see that ASGI has a far better performance compared to most of the other popular Python frameworks as they implement Web server Gateway Interface (WSGI), which is synchronous in nature and hence having slower response time. This book thoroughly explains how FastAPI interacts asynchronously with relational as well as NOSQL databases. Modern web apps use template engines to interact with the front-end. In this book, you will learn to use jinja2 templates and static assets. Swagger UI and OpenAPI standards are also covered in detail. Finally, different options of deployment of FastAPI app have been explored in this book. This book uses practical examples to empower you to build high performance APIsWhat You'll LearnDevelop robust and high-performance web appsDeploy the FastAPI app for public availability using cloud services such as Deta and Docker containerUnderstand the important building blocks of a web app such as form handling, templating and database interactionWho This Book Is ForAspiring and the experienced Python developers looking to leverage the flexibility of Python and the powerful features introduced in Modern Python. Computer science Engineering students at graduate and postgraduate level will also benefit immensely from the practical approach adapted in the book.
Solve SEO problems using data science. This hands-on book is packed with Python code and data science techniques to help you generate data-driven recommendations and automate the SEO workload. This book is a practical, modern introduction to data science in the SEO context using Python. With social media, mobile, changing search engine algorithms, and ever-increasing expectations of users for super web experiences, too much data is generated for an SEO professional to make sense of in spreadsheets. For any modern-day SEO professional to succeed, it is relevant to find an alternate solution, and data science equips SEOs to grasp the issue at hand and solve it. From machine learning to Natural Language Processing (NLP) techniques, Data-Driven SEO with Python provides tried and tested techniques with full explanations for solving both everyday and complex SEO problems.This book is ideal for SEO professionals who want to take their industry skills to the next level and enhance their business value, whether they are a new starter or highly experienced in SEO, Python programming, or both. What You'll LearnSee how data science works in the SEO contextThink about SEO challenges in a data driven wayApply the range of data science techniques to solve SEO issuesUnderstand site migration and relaunches areWho This Book Is ForSEO practitioners, either at the department head level or all the way to the new career starter looking to improve their skills. Readers should have basic knowledge of Python to perform tasks like querying an API with some data exploration and visualization.
Embark on a ground-up journey to cloud computing and the Amazon Web Services (AWS) eco-system, including all the other systems, services, and the security associated with it. This book provides you with the practical know-how to become an AWS Cloud practitioner.Your exploration will take you from key fundamentals of identity and access, storage, networking, architectures, databases, security and compute services all the way through to more advanced topics. The book is organized into easy-to-follow and engaging chapters with simple examples to make complex concepts very easy to understand followed by simple step-by-step demonstrations and case studies to make you proficient in every area of AWS. You'll manage databases in your on-prem data centers and set up, operate, and scale relational database in the cloud. All the services and resources taught in this book come from the AWS Free Tier, so you will not have to pay anything to use andlearn from this book. What You'll LearnUnderstand key concepts and benefits of cloud computingEmploy key cloud computing models and services Review the concept of virtual machines in a cloud computing contextStudy compute services that meet your requirementsWho This Book Is ForIT professionals looking to change their domain to cloud computing as well as those who are looking to utilize AWS for their systems and projects.
There is a call to action reverberating in company boardrooms, earnings calls, technology conferences, and IT departments: every company should be a software company. The call makes intuitive sense. Software, when done right, creates infinite business leverage. It is not a coincidence that 7 out of 10 largest companies in the world are software companies. But how does a company become a software company? This book will¿ help enterprises transform into a software company.The software-driven future that Marc Andreessen predicted in his now-famous 2011 essay is here but unevenly distributed. While enterprises, and teams within, grasp the software technologies, they lack the context to leverage them ¿ much less understand the fundamental principles that drive the business value from software: What is the real essence of the software-based transformation? If every enterprise is implementing the same technologies, what is the sourceof differentiation? How do you manage the inherent complexity of software such that it doesn't destroy software's value? How do you build and nurture talent so that it is empowered to create the best solutions for your customers' problems? This book will answer all of that and more.The boundary between enterprise and consumer software is rapidly blurring. IEEE reports that 40% of the cost of a new car comes from software . Elsewhere, software is becoming synonymous with medical devices and therapeutics . FinTech and EdTech trends are primarily about personalization through software at an internet-scale. The struggling enterprises are up against it. They have no choice but to figure out how to ship consumer-grade software. It is an existential problem for them.This book compiles the timeless principles of building good software, yet often disregarded while building and deploying software products for enterprises.What You'll LearnLeverage people to build creative software solutionsManage development complexity so that we keep software focused on user problemsUnderstand software technology as a means of producing valueWho This Book Is ForEnterprise Executive Management, Enterprise IT Management Professionals, Software Practitioners within Enterprise
Level up your skill set to the latest that Oracle Database can offer. This book introduces features that are not well known that can transform your development efforts. Yoüll discover built-in functionality that can save you massive amounts of time that otherwise would be spent reinventing the wheel. Yoüll find that what used to take a lot of programming some years ago can be done with less code in a more reliable way today. Anyone using Oracle Database without the knowledge in this book is leaving valuable functionality¿that their company has paid for¿on the table, and this book opens the door to that functionality so that you can deliver reliable and performant solutions faster and more easily than ever.Part I looks at features in SQL and PL/SQL that are underused and not well known. Yoüll learn about new join types, pattern matching across rows, Top N pagination (useful in reporting!), qualified expressions, and enhancements to iterators that reduce code complexity and make your logic easier to understand.Part II covers how and when to invoke PL/SQL from SQL while maintaining performance. You'll learn about SQL macro functions for creating reusable SQL fragments, polymorphic table functions with return types determined by incoming argument types, and constructing and parsing JSON documents for data interchange with other systems.Part III introduces a vast array of built-in functionality that Oracle provides that is just waiting to be used. Edition-based redefinition enables zero-downtime application and schema upgrades. Data redaction enables easier compliance with privacy laws and similar regulations by protecting sensitive data from those who have no need to see it. Virtual private databases provide the appearance of giving each user their own database, again helping to secure sensitive data. These features are just a taste of what the book provides. Soon yoüll be improving your skillsand wondering why you ever worked so hard to solve problems that Oracle Database already solves for you.What You Will LearnWrite more powerful code by incorporating underused features in SQL and PL/SQLOptimize your integration between SQL and PL/SQL for best performanceTake advantage of enhanced set operators, lateral joins, row-based pattern matching, and other advanced features in SQLMake your code easier to understand through your use of newer PL/SQL features, such as qualified expressions and iterator enhancementsIntegrate with web services and external data sources directly from the databaseCreate and parse JSON documents for easy data exchange and flexible schema designWho This Book Is ForAny developer who is writing SQL or PL/SQL, PL/SQL experts who want to level up their knowledgeand skills to the latest features that Oracle Database provides, and developers who don¿t want to write their own solutions only to find out later that they¿ve wasted their time by building something that Oracle Database provides out of the box
This book provides a comprehensive explanation of precision (i.e., personalized) healthcare and explores how it can be advanced through artificial intelligence (AI) and other data-driven technologies. From improving the diagnosis, treatment, and monitoring of many medical conditions to the effective implementation of precise patient care, this book will help you understand datasets produced from digital health technologies and IoT and teach you how to employ analytical methods such as convolutional neural networks and deep learning to analyze that data. Yoüll also see how this data-driven approach can enhance and democratize value-based healthcare delivery. Additionally, yoüll learn how the convergence of AI and precision health is revolutionizing healthcare, including some of the most difficult challenges facing precision medicine, such as ethics, bias, privacy, and health equity. Precision Health and Artificial Intelligence provides the groundwork for clinicians, engineers, bioinformaticians, and healthcare enthusiasts to apply AI to healthcare.What You Will LearnUnderstand the components required to facilitate precision health and personalized careApply and implement precision health systemsOvercome the challenges of delivering precision healthcare at scaleReconcile ethical and moral implications of delivering precision healthcareGain insight into the hurdles providers face while implementing precision healthcare Who This Book Is ForHealthcare professionals, clinicians, engineers, bioinformaticians, chief information officers (CIOs), and students
Working effectively with Apple platforms at a corporate or business level includes not only infrastructure, but a mode of thinking that administrators have to adopt to find success. A mode of thinking that forces you to leave 30 years of IT dogma at the door. This book is a guide through how to integrate Apple products in your environment with a minimum of friction. Because the Apple ecosystem is not going away.You'll start by understanding where Apple, third-party software vendors, and the IT community is taking us. What is Mobile Device Management and how does it work under the hood. By understanding how MDM works, you will understand what needs to happen on your networks in order to allow for MDM, as well as the best way to give the least amount of access to the servers or services that's necessary. You'll then look at management agents that do not include MDM, as well as when you will need to use an agent as opposed to when to use other options. Once you can install a management solution, you can deploy profiles on a device or you can deploy profiles on Macs using scripts. With Apple Device Management as your guide, you'll customize and package software for deployment and lock down devices so they're completely secure. You'll also work on getting standard QA environments built out, so you can test more effectively with less effort. Apple is forging their own path in IT. They trade spots with Amazon, Google, and Microsoft as the wealthiest company to ever exist. And they will not be constrained by 30 or more years of dogma in the IT industry. You can try to shoehorn Apple devices into outdated modes of device management, or you can embrace Apple's stance on management with the help of this book. What You'll LearnDeploy profiles across devices effectively and securelyInstall apps remotely both from the app store and through custom solutionsWork natively with Apple environments rather than retrofitting older IT solutions Who This Book Is ForMac administrators within organizations that want to integrate with the current Apple ecosystem, including Windows administrators learning how to use/manage Macs, mobile administrators working with iPhones and iPads, and mobile developers tasked with creating custom apps for internal, corporate distribution.
Explore the serverless world using Amazon Web Services (AWS) and develop various architectures, including those for event-driven and disaster recovery designs. This book will give you an understanding of different distributed serverless architectures and how to build them using AWS components. You will begin with an introduction to serverless components and architectures, before progressing to data platforms and containers. Next, you'll dig deeper into these serverless architectures and how they leverage AWS components through practical use cases. You will also explore designing systems in a multi-cloud paradigm. Author Jithin Jude Paul then demonstrates how efficient serverless architectures are, and the benefits of designing distributed systems globally in a cost-effective way while incorporating a microservices architectural style. Distributed Serverless Architectures with AWS concludes with a discussion of current and future trends in serverless frameworks. After completing this book, you'll be able to design distributed serverless architectures using AWS.What You'll LearnGain an overview of different serverless architectures Design and build distributed systems using serverless componentsBuild serverless data and container platforms on AWSPlan a multi-cloud strategy using serverless componentsWho This Book Is ForCloud engineers, DevOps engineers, and architects focused on the AWS ecosystem, as well as software engineers/developers working with AWS.
Make designing and developing accessible websites fun and straightforward by deciphering information that is often confusing. This book examines how web professionals can ensure a website is as accessible as it can be, meeting the needs of its audience. The main focus is on web accessibility and, WCAG 2.1 and 2.2 guidelines: what they are, who they are for, and what can be done from a design point of view to make the lives of the users easier. In reviewing the fundamentals, emphasis will be given on what disabilities could potentially prevent users from getting the information they need and what can be done to help them. This is achieved by breaking down web design and development terms and practices, such as web accessibility, color contrast, typography, how to design specific components like carousels, forms, and so on. Each chapter features design examples presented in a clear and concise manner. Each design element is divided into different components, highlighting exactly what helps with what, showing how a website needs to be designed for the benefit of its people. A11Y Unraveled also reviews the current laws and legislations that govern web accessibility in different parts of the world.What You'll LearnDiscover how people perceive information on the web, and how that might create barriers in communication.Review different disabilities or limitations that prevent users from accessing web information and how to address them.Design an accessible website for specific disabilities through practical examples.Understand how different web design components affect the user.Study current web accessibility legislation, avoiding difficult to understand lingo.Who This Book Is ForMain audience would be digital and web professionals (mainly designers but developers can benefit as well). It can also help business owners who want to ensure their websites are adhere to accessibility standards.
Review topics ranging from Intel x64 assembly language instructions and writing programs in assembly language, to pointers, live debugging, and static binary analysis of compiled C and C++ code. This book is ideal for Linux desktop and cloud developers. Using the latest version of Debian, yoüll focus on the foundations of the diagnostics of core memory dumps, live and postmortem debugging of Linux applications, services, and systems, memory forensics, malware, and vulnerability analysis. This requires an understanding of x64 Intel assembly language and how C and C++ compilers generate code, including memory layout and pointers. This book provides the background knowledge and practical foundations yoüll need in order to master internal Linux program structure and behavior. It consists of practical step-by-step exercises of increasing complexity with explanations and ample diagrams. Yoüll also work with the GDB debugger and use it for disassembly and reversing. By the end of the book, you will have a solid understanding of how Linux C and C++ compilers generate binary code. In addition, you will be able to analyze such code confidently, understand stack memory usage, and reconstruct original C/C++ code. Foundations of Linux Debugging, Disassembling, and Reversing is the perfect companion to Foundations of ARM64 Linux Debugging, Disassembling, and Reversing for readers interested in the cloud or cybersecurity.What You'll LearnReview the basics of x64 assembly languageExamine the essential GDB debugger commands for debugging and binary analysis Study C and C++ compiler code generation with and without compiler optimizations Look at binary code disassembly and reversing patternsSee how pointers in C and C++ are implemented and usedWho This Book Is ForSoftware support and escalation engineers, cloud security engineers, site reliability engineers, DevSecOps, platform engineers, software testers, Linux C/C++ software engineers and security researchers without Intel x64 assembly language background, beginners learning Linux software reverse engineering techniques, and engineers coming from non-Linux environments.
Gain a solid understanding of how Linux C and C++ compilers generate binary code. This book explains the reversing and binary analysis of ARM64 architecture now used by major Linux cloud providers and covers topics ranging from writing programs in assembly language, live debugging, and static binary analysis of compiled C and C++ code. It is ideal for those working with embedded devices, including mobile phones and tablets. Using the latest version of Red Hat, you'll look closely at the foundations of diagnostics of core memory dumps, live and postmortem debugging of Linux applications, services, and systems. You'll also work with the GDB debugger and use it for disassembly and reversing. This book uses practical step-by-step exercises of increasing complexity with explanations and many diagrams, including some necessary background topics. In addition, you will be able to analyze such code confidently, understand stack memory usage, and reconstruct original C/C++ code. And as you'll see, memory forensics, malware, and vulnerability analysis, require an understanding of ARM64 assembly language and how C and C++ compilers generate code, including memory layout and pointers. This book provides the background knowledge and practical foundations yoüll need to understand internal Linux program structure and behavior. Foundations of ARM64 Linux Debugging, Disassembling, and Reversing is the perfect companion to Foundations of Linux Debugging, Disassembling, and Reversing for readers interested in the cloud or cybersecurity. What You'll LearnReview the basics of ARM64 assembly languageExamine the essential GDB debugger commands for debugging and binary analysis Study C and C++ compiler code generation with and without compiler optimizations Look at binary code disassembly and reversing patternsSee how pointers in C and C++ are implemented and usedWho This Book Is ForSoftware support and escalation engineers, cloud security engineers, site reliability engineers, DevSecOps, platform engineers, software testers, Linux C/C++ software engineers and security researchers without ARM64 assembly language background, and beginners learning Linux software reverse engineering techniques.
This study companion helps you prepare for the SnowPro Core Certification exam. The author guides your studies so you will not have to tackle the exam by yourself. To help you track your progress, chapters in this book correspond to the exam domains as described on Snowflake¿s website. Upon studying the material in this book, you will have solid knowledge that should give you the best shot possible at taking and passing the exam and earning the certification you deserve. Each chapter provides explanations, instructions, guidance, tips, and other information with the level of detail that you need to prepare for the exam. You will not waste your time with unneeded detail and advanced content which is out of scope of the exam. Focus is kept on reviewing the materials and helping you become familiar with the content of the exam that is recommended by Snowflake.This Book Helps YouReview the domainsthat Snowflake specifically recommends you study in preparation for Exam COF-C02Identify gaps in your knowledge that you can study and fill in to increase your chances of passing Exam COF-C02Level up your knowledge even if not taking the exam, so you know the same material as someone who has taken the examLearn how to set up a Snowflake account and configure access according to recommended security best practicesBe capable of loading structured and unstructured data into Snowflake as well as unloading data from SnowflakeUnderstand how to apply Snowflake data protection features such as cloning, time travel, and fail safeReview Snowflake¿s data sharing capabilities, including data marketplace and data exchangeWho This Book Is ForThose who are planning to take the SnowPro Core Certification COF-C02 exam, and anyone who wishes to gain core expertise in implementing and migrating tothe Snowflake Data Cloud
Learn the value that OpenTelemetry can bring to organizations that aim to implement observability best practices, and gain a deeper understanding of how different building blocks interact with each other to bring out-of-the-box, vendor-neutral instrumentation to your stack. With examples in Java, this book shows how to use OpenTelemetry APIs and configure plugins and SDKs to instrument services and produce valuable telemetry data. Yoüll learn how to maximize adoption of OpenTelemetry and encourage the change needed in debugging workflows to reduce cognitive load for engineers troubleshooting production workloads.Adopting observability best practices across an organization is challenging. This book begins with a discussion of how operational monitoring processes widely followed for decades fall short at providing the insights needed for debugging cloud-native, distributed systems in production. The book goes on to show how the Cloud Native Computing Foundation¿s OpenTelemetry project helps you standardize instrumentation and transport of telemetry signals, providing a common language for all observability tooling.You Will LearnWhy observability is a necessity in modern distributed systemsThe value of OpenTelemetry for engineers and organizations OpenTelemetry component specification and general designTracing, metrics, and logs APIs and SDKs, with examples in JavaOpenTelemetry Collectors and recommended transport and processing pipelinesHow to adopt observability standards across an organizationWho This Book Is ForSoftware engineers familiar with cloud-native technologies and operational monitoring who want to instrument and export telemetry data from their services; observability leads who want to roll out OpenTelemetry standards and bestpractices across their organizations; and Java developers who want a book with OpenTelemetry examples in that language
MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java.Programming MATLAB for Numerical Analysis introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals. You will first become familiar with the MATLAB environment, and then you will begin to harness the power of MATLAB. You will learn the MATLAB language, starting with an introduction to variables, and how to manipulate numbers, vectors, matrices, arrays and character strings. You will learn about MATLAB's high-precision capabilities, and how you can use MATLAB to solve problems, making use of arithmetic, relational and logical operators in combination with the common functions and operations of real and complex analysis and linear algebra. You will learn to implement various numerical methods for optimization, interpolation and solving non-linear equations. You will discover how MATLAB can solve problems in differential and integral calculus, both numerically and symbolically, including techniques for solving ordinary and partial differential equations, and how to graph the solutions in brilliant high resolution. You will then expand your knowledge of the MATLAB language by learning how to use commands which enable you to investigate the convergence of sequences and series, and explore continuity and other analytical features of functions in one and several variables.
The second edition of this book has been fully updated to show how the DevOps way of working has continued to adapt to changing technologies. The ITIL processes which were an integral part of the DevOps world have been merged with the DevOps framework, reflecting the current emphasis on product models rather than viewing project and support models separately. This book starts with the basics of digital transformation before exploring how this works in practice: that is, people, processes and technology, and org structures. It delves into value streams that are the basis for ITIL and DevOps, highlighting the differences between the methods of the past and new methodologies needed to ensure products to meet contemporary expectations. This updated edition includes new chapters that discuss digital transformation for business success, introduce the battle tank framework, leading people in the digital world, managing work in a remote working model, and the product-led transformation model. These new chapters provide the guidance necessary to move beyond DevOps into a holistic digital transformation exercise.The ideas, recommendations, and solutions you'll learn over the course of this book can be applied to develop solutions or create proposals for clients, and to deliver seamless services for DevOps projects.What You Will LearnUnderstand digital transformationLeverage the battle tank framework for digital transformationGain insight into the confluence of DevOps and ITILAdapt ITIL processes in DevOps projectsMove organizations from a project to a product-led model Lead teams in a digital worldManage the work of remote teamsWho This Book Is ForIT consultants and IT professionals who are looking for guidance to strategize, plan and implement digital transformation initiatives; design and redesign ITIL processes to adapt to the digital ways of working; moving organizations to product-led business; and leading people and managing work in the digital age.
Develop well-structured applications using tested techniques and patterns. When you start to develop an application, you not only have to think about the idea of the finished application, but also about how it will evolve as it is built. This book shows you how to plan for changes, scope creep, and for the possibility of other developers joining in. Start by learning what architecture patterns for an application are. Yoüll find out why it¿s important for your applications to be based on these patterns and which ones are the most common. Then yoüll look at the MVC as one of the best known and used patterns. Yoüll see how and when it can be implemented in your applications, as well as its advantages and disadvantages. From there, yoüll discover the first evolution of the MVC model: the MVP, which introduces a new layer (Presenter) to better manage views. The next evolution after that is the MVVM, which introduces the ViewModel layer and its connection withthe views through Data Binding. With those prominent patterns covered, yoüll read about VIPER and VIP, Architecture Patterns that seeks to make applications easily maintainable, modularized, and highly scalable. All of which are hallmarks of Clean Architecture. Architecture patterns have developed and evolved to give your applications solid foundations. Understanding these patterns, you will reduce the problems that may arise when modifying existing functions, adding new ones, or correcting errors that may arise in the development process.What You'll LearnCode cleanly with solid foundations Start your project ready to adapt and evolve as features and other developers are added Find and apply the right patterns for the best results Who This Book Is ForDevelopers with some programming knowledge who want to learn different architecturepatterns, those who already have more experience and are looking for a starting point on complex patterns such as VIPER or VIP, and beginner programmers
Enterprise Architecture (EA) frameworks such as TOGAF and Zachman are still valid, but enterprise architects also need to adapt to the new reality of agile, DevOps, and overall disruption through digital transformation. This book will help do just that.The Change to Modern Enterprise Architecture will teach you how to use known frameworks in the new world of digital transformation. Over the course of the book, you'll learn how modern EA is helping drive strategic business decisions, create continuous and agile (¿floating¿) architecture for scalability, and how to address quality and speed in architecture using and integrating DevSecOps frameworks in EA. This book is divided into three parts: the first explains what modern enterprise architecture is and why it¿s important to any business. It covers the different EA frameworks and explains what they are. In the second part, you will learn how to integrate modern development frameworks into EA, and why this knowledge will enable you to deftly respond to various business challenges. The final section of the book is all about scaling the enterprise using modern enterprise architecture. You will also see how the role of the enterprise architect is changing and how to remain in control of your architecture. Upon completing this book, you'll understand why the enterprise architect is no longer just a role overseeing the architecture strategy of a business, but has become more of a leader in driving engineering excellence. What You'll LearnIntegrate DevSecOps as artifact to modern EAUse Enterprise Architecture to scale up your businessUnderstand the changing role of the enterprise architectDefine a floating architecture to enhance business agilityWho This Book Is ForEnterprise architects, IT architects, lead engineers, business architects, business leaders, product managers.
Among Java's many attractive features as a programming language, its object-oriented nature is key to creating powerful, reusable code and applications that are easy to maintain and extend. To take advantage of these capabilities, you're going to need not only to master the syntax of the Java language, but also to gain a practical understanding of what objects are all about. Most importantly, you need to know how to structure Java applications from the ground up to make the most of objects. With Beginning Java Objects: From Concepts to Code, you'll master all three.Learning to design objects effectively with Java is the goal of Beginning Java Objects: From Concepts to Code. Plenty of titles dig into the Java language in massive detail, but this one takes the unique approach of stepping back and looking at fundamental object concepts first. Mastery of Java—from understanding the basic language features to building complete industrial-strength Java applications—emerges only after a thorough tour of thinking in objects. Let this book be your guide.
This book covers the essential theory and implementation of popular Bayesian optimization techniques in an intuitive and well-illustrated manner. The techniques covered in this book will enable you to better tune the hyperparemeters of your machine learning models and learn sample-efficient approaches to global optimization.The book begins by introducing different Bayesian Optimization (BO) techniques, covering both commonly used tools and advanced topics. It follows a ¿develop from scratch¿ method using Python, and gradually builds up to more advanced libraries such as BoTorch, an open-source project introduced by Facebook recently. Along the way, yoüll see practical implementations of this important discipline along with thorough coverage and straightforward explanations of essential theories. This book intends to bridge the gap between researchers and practitioners, providing both with a comprehensive, easy-to-digest, and useful reference guide. After completingthis book, you will have a firm grasp of Bayesian optimization techniques, which yoüll be able to put into practice in your own machine learning models.What You Will LearnApply Bayesian Optimization to build better machine learning modelsUnderstand and research existing and new Bayesian Optimization techniquesLeverage high-performance libraries such as BoTorch, which offer you the ability to dig into and edit the inner workingDig into the inner workings of common optimization algorithms used to guide the search process in Bayesian optimizationWho This Book Is ForBeginner to intermediate level professionals in machine learning, analytics or other roles relevant in data science.
Tech SEO Guide provides a reference for everyone who works on the technical side of SEO. SEO has always had a technical component but over the last several years, the technical challenges are increasing as websites deliver richer and more engaging experiences. Those experiences can make it harder for Google to crawl a website and rank a website in search results. Given how important organic search rankings can be for a website¿s traffic, it is more important than ever to make sure the technical fundamentals are in place to support a website¿s SEO performance.SEO professionals includes marketers, developers, programmers, UX professionals, designers, and business executives because technical SEO impacts and overlaps with so many different areas of a business. Because the book addresses a wider audience, it provides technical details but also includes higher-level discussions about how search engines and robots work too.There are many different aspects of technical SEO and it is difficult to keep track of every detail, especially for people who only work on technical SEO matters on an occasional basis. Because of that, this guide book can be read all at once for those wanting to study technical SEO in detail or it can be read a paragraph at a time, allowing people to refer back to quickly jog their memory or review a complex topic. Each chapter walks through a different area of technical SEO, addressing specific scenarios and questions about that particular area. After discussing each section, the chapter will conclude with a summary of the important items to measure and monitor related to that section.What You Will LearnWhat factors to keep in mind as you begin a redesign of the websiteHow to evaluate technical factors to see if a technical configuration is causing traffic to dropHow to perform regular audits of a website to identify problems or areas of opportunityWho This Book is ForMarketers, developers, programmers, UX professionals, designers, and business executives
Embark on a journey into the world of embedded programming. This book introduces you to the 32bit PIC and will teach you how the main functions of C programming work and can be used with a PIC micro.A one-stop reference for the would-be embedded programmer, you'll explore the electronics needed for a variety of programs as well as how to use different devices with the PIC. The book starts with downloading the environment and creating a simple project, one that uses different oscillators, Phase Lock Loop, and circuitry needed to create the different system clocks¿an easy entry point to this exciting environment. You'll also review the MPLABX integrated development environment (IDE) and see how to program the 32Bit PIC, which can be adapted to different PICs.Throughout subsequent chapters, yoüll learn how to use a range of programs that use PIC modules such as the SPI, I2C, UART communication modules, the ADC module, the Capture, Compare, and Pulse Width Modulationmodule, and the RTCC, Real Time Clock and Calendar Module.What You'll LearnCreate a project in MPLABX Configure the different clock frequencies that are used in the 32bit PICBuild a variable delay subroutine to be used in a simple traffic lights programUse the MAX 7219 driver IC to control the 8by8 matrix displayProgram an I2C expander module to control the display on a LCDWho This Book Is ForReaders who want to try their hand at embedded programming, newcomers to programming the PIC 32, programmers who want to look into using MPLAB Harmony 3, and programmers who want to understand how C instructions work with respect to 32bit PIC. Also students who are studying for an engineering qualification.
Learn window function foundational concepts through a cookbook-style approach, beginning with an introduction to the OVER() clause, its various configurations in terms of how partitions and window frames are created, and how data is sorted in the partition so that the window function can operate on the partition data sets. You will build a toolkit based not only on the window functions but also on the performance tuning tools, use of Microsoft Excel to graph results, and future tools you can learn such as PowerBI, SSIS, and SSAS to enhance your data architecture skills.This book goes beyond just showing how each function works. It presents four unique use-case scenarios (sales, financial, engineering, and inventory control) related to statistical analysis, data analysis, and BI. Each section is covered in three chapters, one chapter for each of the window aggregate, ranking, and analytical function categories.Each chapter includes several TSQL code examples and is re-enforced with graphic output plus Microsoft Excel graphs created from the query output. SQL Server estimated query plans are generated and described so you can see how SQL Server processes the query. These together with IO, TIME, and PROFILE statistics are used to performance tune the query. You will know how to use indexes and when not to use indexes.You will learn how to use techniques such as creating report tables, memory enhanced tables, and creating clustered indexes to enhance performance. And you will wrap up your learning with suggested steps related to business intelligence and its relevance to other Microsoft Tools such as Power BI and Analysis Services.All code examples, including code to create and load each of the databases, are available online.What You Will LearnUse SQL Server window functions in the context of statistical and data analysisRe-purpose code so it can be modified for your unique applicationsStudy use-case scenarios that span four critical industriesGet started with statistical data analysis and data mining using TSQL queries to dive deep into dataStudy discussions on statistics, how to use SSMS, SSAS, performance tuning, and TSQL queries using the OVER() clause.Follow prescriptive guidance on good coding standards to improve code legibility Who This Book Is ForIntermediate to advanced SQL Server developers and data architects. Technical and savvy business analysts who need to apply sophisticated data analysis for their business users and clients will also benefit. This book offers critical tools and analysis techniques they can apply to their daily job in the disciplines of data mining, data engineering, and business intelligence.
Assess, plan, develop, implement, and manage AWS EC2 Instances, Cloud Formation using JSON Template with Bash programming language, and Cloud Watch monitoring. This book helps the public and private sectors comprehend how to assess and evaluate AWS cloud software as a service (SaaS), infrastructure as a service (IaaS), and platform as a service (PaaS).Government and business sector entities are looking for strategies to upgrade on-premises information systems to virtual cloud infrastructure orchestration and automation. You'll gain a step-by-step approach to planning, developing, implementing, and managing cloud infrastructure, services, and platforms that help reduce cost increases, scalability, and improves security. Outline your strategy to research how cloud infrastructure is planned and developed before being deployed and managed by on-premises IT team members. This book also supports cloud services for AWS and helps you understand why supporting and usingAWS for cloud services is beneficial both short and long-term.Once you complete this book, you'll be able to make logical decisions regarding AWS use cases for public and private sector entities, including disaster recovery and backup, IT self-service, Web applications, and messaging. What You'll LearnAssess different cloud services provided by AmazonLook at Cloud as a Service (CAAS)Understand internet protocol, packet switching, authoritative, recursive, and open-flowReview cloud infrastructure planning methodsExamine Cloud orchestration and automationWork with the AWS total cost of ownership calculatorWho This book Is ForThis book is aimed at business, government, non-profit organizations, academic institutions, and financial institutions interested in upgrading to AWS cloud architect infrastructure as a primary mode of data transmission, storage, and security at a scalable and economical annual cost.
This in-depth Spring-based Java developer code reference has been updated and now solves many of your Spring Framework 6 problems using reusable, complete and real-world working code examples. Spring 6 Recipes (5th Edition) now includes Spring Native which speeds up your Java-based Spring Framework built enterprise, native cloud, web applications and microservices. It also has been updated to now include Spring R2DBC for Reactive Relational Database Connectivity, a specification to integrate SQL databases, like PostgreSQL, MySQL and more, using reactive drivers.Furthermore, this book includes additional coverage of WebFlux for more reactive Spring web applications. Reactive programming allows you to build systems that are resilient to high load, especially common in the more complex enterprise, native cloud applications that Spring Framework lets you build. This updated edition also uses code snippets and examples based on newest available standard long term support release of Java. When you start a new project, yoüll be able to copy the code and configuration files from this book, and then modify them for your specific Spring Framework-based application needs. This can save you a great deal of work over creating a project from scratch. This powerful code reference is a "must have" for your print or digital library. This developer cookbook comes with accompanying source code that is freely available on GitHub under latest Creative Commons open source licensing. What You'll LearnGet re-usable code recipes and snippets for core Spring, annotations and other development toolsDive into Spring Native which merges the popular Spring and GraalVM for increased performance, speed and reliability of your Spring Framework 6 applicationsExplore Spring R2BC for reactive relational database connectivity with SQLBuild reactive Spring MVC-based web applications and microservices using WebFluxEnhance your enterprise or native cloud applications using Spring Transaction ManagementTest, secure and deploy your Spring applications using reusable code templates availableWho This Book Is ForThis book is for experienced Java programmers, software developers with experience using the Spring Framework.
Overhaul your debugging techniques and master the theory and tools needed to debug and troubleshoot cloud applications in production environments. This book teaches debugging skills that universities often avoid, but that typically consume as much as 60% of our time as developers. The book covers the use of debugger features such as tracepoints, object marking, watch renderers, and more. Author Shai Almog presents a scientific approach to debugging that is grounded in theory while being practical enough to help you to chase stubborn bugs through the maze of a Kubernetes deployment.Practical Debugging at Scale assumes a polyglot environment as is common for most enterprises, but focuses on JVM environments. Most of the tooling and techniques described are applicable to Python, Node, and other platforms, as well as to Java and other JVM languages. The book specifically covers debugging in production, an often-neglected discipline but an all too painful reality. Yoüll learn modern techniques around observability, monitoring, logging, and full stack debugging that you can put to immediate use in troubleshooting common ailments in production environments. You Will Learn:The scientific method underlying the process of debuggingDebugger capabilities such as tracepoints and marker objectsThe correct use of less understood features such as exception breakpointsTechniques for tracing issues in production Kubernetes environmentsObservability and monitoring to resolve production problemsIndustry best practices for common tooling such as logging Profiling to understand performance and memory problems Who This Book Is ForDevelopers in Java and JVM-related languages who want to improve their debugging skills and production reliability;and developers of cloud applications who are facing the pain of production bugs that are hard to replicate and fix
Build products on top of Ethereum's new and expansive technological stack.Writing any good web application requires planning, care, and deft technical skills, but Ethereum's execution model presents its own challenges for engineers wishing to build applications on top of its smart contract layer. Building performant and engaging product experiences is one of the most important ¿ and often underappreciated ¿ roles in any company.This book looks at the full product stack needed to build such experiences on top of Ethereum smart contracts, weaving tutorials and case studies through more conversational discussions of the various constraints, trade-offs, and complexities involved in doing so. Yoüll learn about the fundamentals of Ethereum from a new perspective, developing a strong understanding of how the Ethereum Virtual Machine (EVM) works and how it affects product engineering, as well as all the pieces of technology that go into decentralized apps (dapps) behindthe front end: RPC nodes, wallets, indexers, application hosts, and more. Yoüll be exposed to plenty of UI, JavaScript code, and idiomatic ways to bring on-chain data into your front ends. And yoüll be given up-to-date knowledge of the best practices and future possibilities that decentralized computation might offer the product engineer.What You Will LearnUnderstand the EVM and how it worksGain insight into smart contracts and how apps connect to themUnderstand the difference between live data and indexed dataHow decentralization affects the UI of applicationsBuild engaging, tasteful product experiences on top of EthereumWho This Book Is ForA confident ¿ mid-level or senior ¿ software engineer or web developer who hasn¿t properly branched out into Ethereum; someone who might have scratched the surface, but wants adeeper understanding of the principles behind dapps, and who wants a head start on the hurdles faced while building them.
Leverage the power of Svelte to quickly produce the foundations of a framework-agnostic component library that can extend and develop over time. This is a project-oriented book that simplifies setting up the skeleton of the library and adding components, using little more than a text editor or free software. You'll gain a starting baseline that can be used to develop future projects or incorporated into an existing workflow. You'll take development to the next level and can use this knowledge to create components with any framework, such as React, Angular or Vue.js, not just Svelte. Developing Web Components with Svelte is an excellent resource for getting acquainted with creating and maintaining a component library using a phased approach. It takes the view that you don't have to create something complex and unwieldy. Instead, you can start building something quickly, then extend it as needs dictate over time, without sacrificing speed or features.You'll see how to develop cleaner components in a quick, clear and straightforward way. The components you create in this project can be made available in one of the world's most extensive component ecosystems to be usable by other frameworks, making them genuinely reusable. In short, Svelte offers plenty of opportunities as it is based on Node.js and JavaScript making Svelte a powerful package to work from.What You'll LearnUse the Svelte framework to rapidly create and deploy the foundation of a component library that is versatile and performantReview developing and customizing components based on our needsWork through a real-world project to help solidify skills learned from the book and put them into practiceWho This Book Is ForWebsite developers, familiar with JavaScript, who are keen to learn how to leverage the Svelte framework fastAgile development teams, wheretime is of the essence, and the pressure is on to deliver results quicklyDevelopers who want to focus on simplicity, to produce efficient and optimized content in modern browsers using tools readily available
Beginning-Intermediate user level
Discover the benefits of running Oracle databases in Linux containers. This book approaches containers from the perspective of database administrators, developers, and systems administrators. It explains the differences between containers and virtual machines and describes why containers deliver greater speed, flexibility, and portability, with lower resource requirements. You'll learn how running Oracle databases in containers complements existing database infrastructure and accelerates development, and you'll understand the advantages they offer for test and validation environments.This book teaches you how to begin working with Oracle databases in Docker, covering the steps for preparing and installing software on Windows, Mac, and Linux systems. It describes the steps for deploying Oracle databases, separating data and configurations from database software, and networking and communicating with your containers. It introduces the Docker commands you'll use for managing containers, including tips and shortcuts to make everyday tasks easier. Databases have unique demands for performance and reliability, and this book addresses those qualities with discussions on protecting, persisting, and distributing data. Other books may overlook these topics and approach containers as disposable commodities in serverless environments or convenient coding platforms. You'll gain battle-tested insights for customizing and extending your containers to meet different needs.The opening chapters concentrate on the practical steps of running Oracle databases in Docker. Once you're comfortable with container terminology and methods, you'll look deeper at the real power behind containers-preparing and building images, and the templates that form the foundation beneath every container. You'll begin by modifying publicly available image manifests, or Dockerfiles, following multiple examples that add functionality and capabilities to your databases. You'll discover methods for using run-time options to create flexible and extensible images that adapt to real-world requirements.Within the pages, you'll see how Oracle and Docker empower you to confidently build and deploy systems. It's written with databases and database users in mind and delivers practical advice based on the author's real-world, battle-tested experiences deploying and running Oracle databases in containers since 2014. With Oracle databases in containers, database administrators have the ideal platform for evaluating performance, practicing database upgrades and migrations, validating backup and recovery processes, and hardening environments. Developers will find that the marriage of Oracle and Docker simplifies code and application tests. Docker's unique ability to isolate data artifacts improves reliability and confidence in test and QA processes. If you're a database administrator, this book will help you join the container revolution sweeping the industry and making IT professionals more productive than ever!What You Will LearnRecognize when and why to use containers for an Oracle databaseUnderstand container terminology and architectureCreate and customize Oracle databases in containersBuild and extend images and containers for multiple usesStore and persist data beyond the container ecosystemUse popular database tools with databases in containersExplore container networking and connect multiple container databasesManage, monitor, and secure containersWrite Dockerfiles to support custom requirementsPackage and deploy data artifacts that accelerate development, test, and QA activities
Use this book to study for the PL-300 Microsoft Power BI Data Analyst exam. The book follows the ¿Skills Measured¿ outline provided by Microsoft to help focus your study. Each topic area from the outline corresponds to an area covered by the exam, and the book helps you build a good base of knowledge in each area. Each topic is presented with a blend of practical explanations, theory, and best practices.Power BI is more than just the Power BI Desktop or the Power BI Service. It is two distinct applications and an online service that, together, enable business users to gather, shape, and analyze data to generate and present insights. This book clearly delineates the purpose of each component and explains the key concepts necessary to use each component effectively. Each chapter provides best practices and tips to help an inexperienced Power BI practitioner develop good habits that will support larger or more complex analyses. Manybusiness analysts come to Power BI with a wealth of experience in Excel and particularly with pivot tables. Some of this experience translates readily into Power BI concepts. This book leverages that overlap in skill sets to help seasoned Excel users overcome the initial learning curve in Power BI, but no prior knowledge of any kind is assumed, terminology is defined in non-technical language, and key concepts are explained using analogies and ideas from experiences common to any reader. After reading this book, you will have the background and capability to learn the skills and concepts necessary both to pass the PL-300 exam and become a confident Power BI practitioner. What You Will LearnCreate user-friendly, responsive reports with drill-throughs, bookmarks, and tool tipsConstruct a star schema with relationships, ensuring that your analysis will be both accurate and responsivePublish reports and datasets to the Power BI Service, enabling the report (and the dataset) to be viewed and used by your colleagues Extract data from a variety of sources, enabling you to leverage the data that your organization has collected and stored in a variety of sourcesSchedule data refreshes for published datasets so your reports and dashboards stay up to dateDevelop dashboards with visuals from different reports and streaming contentWho This Book Is ForPower BI users who are planning to take the PL-300 exam, Power BI users who want help studying the topic areas listed in Microsoft¿s outline for the PL-300 exam, and those who are not planning to take the exam but want to close any knowledge gaps they might have
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