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Practical Design Patterns for Java Developers: Hone your software design skills by implementing popular design patterns in Java
by Miroslav Wengner Bruno SouzaUnravel the power of Java design patterns by learning where to apply them effectively to solve specific software design and development problemsKey FeaturesDecouple logic across objects with dependency injection by creating various vehicles with featuresFinalize vehicle construction by chaining handlers using the Chain of Responsibility PatternPlan and execute an advanced vehicle sensor initiation with the Scheduler PatternBook DescriptionDesign patterns are proven solutions to standard problems in software design and development, allowing you to create reusable, flexible, and maintainable code. This book enables you to upskill by understanding popular patterns to evolve into a proficient software developer.You'll start by exploring the Java platform to understand and implement design patterns. Then, using various examples, you'll create different types of vehicles or their parts to enable clarity in design pattern thinking, along with developing new vehicle instances using dedicated design patterns to make the process consistent. As you progress, you'll find out how to extend vehicle functionalities and keep the code base structure and behavior clean and shiny. Concurrency plays an important role in application design, and you'll learn how to employ a such design patterns with the visualization of thread interaction. The concluding chapters will help you identify and understand anti-pattern utilization in the early stages of development to address refactoring smoothly. The book covers the use of Java 17+ features such as pattern matching, switch cases, and instances of enhancements to enable productivity.By the end of this book, you'll have gained practical knowledge of design patterns in Java and be able to apply them to address common design problems.What you will learnUnderstand the most common problems that can be solved using Java design patternsUncover Java building elements, their usages, and concurrency possibilitiesOptimize a vehicle memory footprint with the Flyweight PatternExplore one-to-many relations between instances with the observer patternDiscover how to route vehicle messages by using the visitor patternUtilize and control vehicle resources with the thread-pool patternUnderstand the penalties caused by anti-patterns in software designWho this book is forIf you are an intermediate-level Java developer or software architect looking to learn the practical implementation of software design patterns in Java, then this book is for you. No prior knowledge of design patterns is required, but an understanding of Java programming is necessary.
Practical DevOps
by Joakim VeronaHarness the power of DevOps to boost your skill set and make your IT organization perform better About This Book * Get to know the background of DevOps so you understand the collaboration between different aspects of an IT organization and a software developer * Improve your organization's performance to ensure smooth production of software and services * Deploy top-quality software and ensure software maintenance and release management with this practical guide Who This Book Is For This book is aimed at developers and system administrators who wish to take on larger responsibilities and understand how the infrastructure that builds today's enterprises works. This book is also great for operations personnel who would like to better support developers. You do not need to have any previous knowledge of DevOps. What You Will Learn * Appreciate the merits of DevOps and continuous delivery and see how DevOps supports the agile process * Understand how all the systems fit together to form a larger whole * Set up and familiarize yourself with all the tools you need to be efficient with DevOps * Design an application that is suitable for continuous deployment systems with Devops in mind * Store and manage your code effectively using different options such as Git, Gerrit, and Gitlab * Configure a job to build a sample CRUD application * Test the code using automated regression testing with Jenkins Selenium * Deploy your code using tools such as Puppet, Ansible, Palletops, Chef, and Vagrant * Monitor the health of your code with Nagios, Munin, and Graphite * Explore the workings of Trac--a tool used for issue tracking In Detail DevOps is a practical field that focuses on delivering business value as efficiently as possible. DevOps encompasses all the flows from code through testing environments to production environments. It stresses the cooperation between different roles, and how they can work together more closely, as the roots of the word imply--Development and Operations. After a quick refresher to DevOps and continuous delivery, we quickly move on to looking at how DevOps affects architecture. You'll create a sample enterprise Java application that you'll continue to work with through the remaining chapters. Following this, we explore various code storage and build server options. You will then learn how to perform code testing with a few tools and deploy your test successfully. Next, you will learn how to monitor code for any anomalies and make sure it's running properly. Finally, you will discover how to handle logs and keep track of the issues that affect processes Style and approach This book is primarily a technical guide to DevOps with practical examples suitable for people who like to learn by implementing concrete working code. It starts out with background information and gradually delves deeper into technical subjects.
Practical DevOps, Second Edition: Implement DevOps in your organization by effectively building, deploying, testing, and monitoring code, 2nd Edition
by Joakim VeronaUnderstand the benefits of DevOps and continuous delivery and see how they support the agile software development processKey FeaturesLearn how DevOps can accelerate your entire software development life cycleImprove your organization's performance to ensure the smooth production of software and servicesGet hands-on experience in using efficient DevOps tools to better effectBook DescriptionDevOps is a practical field that focuses on delivering business value as efficiently as possible. DevOps encompasses all code workflows from testing environments to production environments. It stresses cooperation between different roles, and how they can work together more closely, as the roots of the word imply—Development and Operations.Practical DevOps begins with a quick refresher on DevOps and continuous delivery and quickly moves on to show you how DevOps affects software architectures. You'll create a sample enterprise Java application that you’'ll continue to work with through the remaining chapters. Following this, you will explore various code storage and build server options. You will then learn how to test your code with a few tools and deploy your test successfully. In addition to this, you will also see how to monitor code for any anomalies and make sure that it runs as expected. Finally, you will discover how to handle logs and keep track of the issues that affect different processes.By the end of the book, you will be familiar with all the tools needed to deploy, integrate, and deliver efficiently with DevOps.What you will learnUnderstand how all deployment systems fit together to form a larger systemSet up and familiarize yourself with all the tools you need to be efficient with DevOpsDesign an application suitable for continuous deployment systems with DevOps in mindStore and manage your code effectively using Git, Gerrit, Gitlab, and moreConfigure a job to build a sample CRUD applicationTest your code using automated regression testing with Jenkins SeleniumDeploy your code using tools such as Puppet, Ansible, Palletops, Chef, and VagrantWho this book is forIf you're a developer or system administrator looking to take on larger responsibilities and understand how the infrastructure that builds today's enterprises works, this is the book for you. This book will also help you greatly if you're an operations worker who would like to better support developers. You do not need any previous knowledge of DevOps to understand the concepts in this book.
Practical Development Environments
by Matthew B. DoarThis book doesn't tell you how to write faster code, or how to write code with fewer memory leaks, or even how to debug code at all. What it does tell you is how to build your product in better ways, how to keep track of the code that you write, and how to track the bugs in your code. Plus some more things you'll wish you had known before starting a project.Practical Development Environments is a guide, a collection of advice about real development environments for small to medium-sized projects and groups. Each of the chapters considers a different kind of tool - tools for tracking versions of files, build tools, testing tools, bug-tracking tools, tools for creating documentation, and tools for creating packaged releases. Each chapter discusses what you should look for in that kind of tool and what to avoid, and also describes some good ideas, bad ideas, and annoying experiences for each area. Specific instances of each type of tool are described in enough detail so that you can decide which ones you want to investigate further.Developers want to write code, not maintain makefiles. Writers want to write content instead of manage templates. IT provides machines, but doesn't have time to maintain all the different tools. Managers want the product to move smoothly from development to release, and are interested in tools to help this happen more often. Whether as a full-time position or just because they are helpful, all projects have toolsmiths: making choices about tools, installing them, and then maintaining the tools that everyone else depends upon. This book is especially for everyone who ends up being a toolsmith for his or her group.
Practical Digital Forensics
by Richard BoddingtonThis book is for anyone who wants to get into the field of digital forensics. Prior knowledge of programming languages (any) will be of great help, but not a compulsory prerequisite.
Practical Discrete Mathematics: Discover math principles that fuel algorithms for computer science and machine learning with Python
by Ryan T. White Archana Tikayat RayA practical guide simplifying discrete math for curious minds and demonstrating its application in solving problems related to software development, computer algorithms, and data scienceKey FeaturesApply the math of countable objects to practical problems in computer scienceExplore modern Python libraries such as scikit-learn, NumPy, and SciPy for performing mathematicsLearn complex statistical and mathematical concepts with the help of hands-on examples and expert guidanceBook DescriptionDiscrete mathematics deals with studying countable, distinct elements, and its principles are widely used in building algorithms for computer science and data science. The knowledge of discrete math concepts will help you understand the algorithms, binary, and general mathematics that sit at the core of data-driven tasks. Practical Discrete Mathematics is a comprehensive introduction for those who are new to the mathematics of countable objects. This book will help you get up to speed with using discrete math principles to take your computer science skills to a more advanced level. As you learn the language of discrete mathematics, you'll also cover methods crucial to studying and describing computer science and machine learning objects and algorithms. The chapters that follow will guide you through how memory and CPUs work. In addition to this, you'll understand how to analyze data for useful patterns, before finally exploring how to apply math concepts in network routing, web searching, and data science. By the end of this book, you'll have a deeper understanding of discrete math and its applications in computer science, and be ready to work on real-world algorithm development and machine learning.What you will learnUnderstand the terminology and methods in discrete math and their usage in algorithms and data problemsUse Boolean algebra in formal logic and elementary control structuresImplement combinatorics to measure computational complexity and manage memory allocationUse random variables, calculate descriptive statistics, and find average-case computational complexitySolve graph problems involved in routing, pathfinding, and graph searches, such as depth-first searchPerform ML tasks such as data visualization, regression, and dimensionality reductionWho this book is forThis book is for computer scientists looking to expand their knowledge of discrete math, the core topic of their field. University students looking to get hands-on with computer science, mathematics, statistics, engineering, or related disciplines will also find this book useful. Basic Python programming skills and knowledge of elementary real-number algebra are required to get started with this book.
Practical Django 2 and Channels 2: Building Projects And Applications With Real-time Capabilities
by Federico MaraniLearn how to rapidly build your own ecommerce site by applying Django’s battle-tested components. This book demonstrates Django’s features and conventions to help you develop modern web applications quickly. You'll adopt a "learn by doing" approach and gain a deeper understanding Django by working through a project in which the real-time component will be critical. The book starts with the basics and explains the difference between a Django project and a Django app, the most important settings, how to change them, and the fundamentals of packaging. You'll then be introduced to all the standard tools of Django, along with a sample project. The book then moves on to Channels, a recent addition to the Django ecosystem. It extends the framework with support for real-time operations such as Websockets and other asynchronous features.Practical Django 2 and Channels 2 provides the practical concepts needed to create complex, database-driven websites as easily as possible.What You'll LearnBuild and deploy a simple company site with DjangoDevelop more complex, data-heavy sites using the Django ORMIntegrate Django with ChannelsUnit-test your solutionsWho This Book Is ForPython developers and web developers wanting to learn Django 2 and Channels 2
Practical Docker with Python: Build, Release And Distribute Your Python App With Docker
by Sathyajith BhatLearn the key differences between containers and virtual machines. Adopting a project based approach, this book introduces you to a simple Python application to be developed and containerized with Docker.After an introduction to Containers and Docker you'll be guided through Docker installation and configuration. You'll also learn basic functions and commands used in Docker by running a simple container using Docker commands. The book then moves on to developing a Python based Messaging Bot using required libraries and virtual environment where you'll add Docker Volumes to your project, ensuring your container data is safe. You'll create a database container and link your project to it and finally, bring up the Bot-associated database all at once with Docker Compose. What You'll LearnBuild, run, and distribute Docker containersDevelop a Python App and containerize itUse Dockerfile to run the Python AppDefine and run multi-container applications with Docker Compose Work with persisting data generated by and used by Docker containersWho This Book Is ForIntermediate developers/DevOps practitioners who are looking to improve their build and release workflow by containerizing applications
Practical Docker with Python: Build, Release, and Distribute Your Python App with Docker
by Sathyajith BhatLearn the fundamentals of containerization and get acquainted with Docker. This second edition builds upon the foundation of the first book by revising all the chapters, updating the commands, code, and examples to meet the changes in Docker. It also introduces a new chapter on setting up your application for production deployment and breaks down terminologies like Dockerfile and Docker volumes while taking you on a guided tour of building a telegram bot using Python.You'll start with a brief history of how containerization has changed over the years. Next, we look at how to install (including using the new WSL2 mode) and get started with Docker. The next couple of chapters will focus on understanding the Dockerfile, including the structure and the core instructions used in building a Docker image. You'll also see how to distribute Docker images using Docker hub and other private registries. From there, you'll look at using Docker volumes for persisting data. Then learn how to run multi-container applications with Docker compose and learn inter-container networking works with Docker networks. Finally, you'll look at how to prepare a containerized application for production deployments. Throughout the book you'll apply the techniques learned through the chapters by building a Telegram messenger Chatbot and see how much easier Docker makes it possible to build, release, contribute and distribute an application. In addition, the book shows how optimize the Docker images for production servers by using multi-stage builds and improve the reliability of your services by using health checks and restart policies. Practical Docker with Python will break down terminologies like Dockerfile and Docker volumes, and take you on a guided tour of building a telegram bot using Python. What You'll LearnCompare the difference between containerization and virtualizationUnderstand the Dockerfile and converting your application to Docker imageDefine and run multi-container applications with Docker composeReview data persistency with Docker volumesWho This Book Is ForBeginner and intermediate developers, DevOps practitioners who are looking improving their build and release workflow by containerizing applications as well as system administrators learning to implement DevOps principles.
Practical Domain-Driven Design in Enterprise Java: Using Jakarta EE, Eclipse MicroProfile, Spring Boot, and the Axon Framework
by Vijay NairSee how Domain-Driven Design (DDD) combines with Jakarta EE MicroProfile or Spring Boot to offer a complete suite for building enterprise-grade applications. In this book you will see how these all come together in one of the most efficient ways to develop complex software. Practical Domain-Driven Design in Enterprise Java starts by building out the Cargo Tracker reference application as a monolithic application using the Jakarta EE platform. By doing so, you will map concepts of DDD (bounded contexts, language, and aggregates) to the corresponding available tools (CDI, JAX-RS, and JPA) within the Jakarta EE platform. Once you have completed the monolithic application, you will walk through the complete conversion of the monolith to a microservices-based architecture, again mapping the concepts of DDD and the corresponding available tools within the MicroProfile platform (config, discovery, and fault tolerance). To finish this section, you will examine the same microservices architecture on the Spring Boot platform. The final set of chapters looks at what the application would be like if you used the CQRS and event sourcing patterns. Here you’ll use the Axon framework as the base framework. What You Will LearnDiscover the DDD architectural principles and use the DDD design patternsUse the new Eclipse Jakarta EE platform Work with the Spring Boot frameworkImplement microservices design patterns, including context mapping, logic design, entities, integration, testing, and securityCarry out event sourcingApply CQRS Who This Book Is ForJunior developers intending to start working on enterprise Java; senior developers transitioning from monolithic- to microservices-based architectures; and architects transitioning to a DDD philosophy of building applications.
Practical Doomsday: A User's Guide to the End of the World
by Michal ZalewskiDisasters happen. Be prepared. Here&’s how.As a leading security engineer, Michal Zalewski has spent his career methodically anticipating and planning for cyberattacks. In Practical Doomsday, Zalewski applies the same thoughtful, rational approach to preparing for disasters of all kinds. By sharing his research, advice, and a healthy dose of common sense, he&’ll help you rest easy knowing you have a plan for the worst—even if the worst never comes.The book outlines a level-headed model for evaluating risks, one that weighs the probability of scenarios against the cost of preparing for them. You&’ll learn to apply that model to the whole spectrum of potential crises, from personal hardships like job loss or a kitchen fire, to large-scale natural disasters and industrial accidents, to recurring pop-culture fears like all-out nuclear war. You&’ll then explore how basic lifestyle adjustments, such as maintaining a robust rainy-day fund, protecting yourself online, and fostering good relationships with your neighbors, can boost your readiness for a wide range of situations. You&’ll also take a no-nonsense look at the supplies and equipment essential to surviving sudden catastrophes, like prolonged power outages or devastating storms, and examine the merits and legal implications of different self-defense strategies.You&’ll learn:How to identify and meaningfully assess risks in your life, then develop strategies for managing themWays to build up and diversify a robust financial safety net—a key component of nearly all effective preparedness strategiesHow to adapt your prep plans to a variety of situations, from shelter-in-place scenarios to evacuations by car or on footSensible approaches to stockpiling food, water, and other essentials, along with recommendations on what supplies are actually worth having Disasters happen, but they don&’t have to dominate your life. Practical Doomsday will help you plan ahead, so you can stop worrying about what tomorrow may bring and start enjoying your life today.
Practical ES6
by James Wright Aurelio De Rosa Sandeep Panda Ludovico Fischer Kyle Pennell Nilson Jacques Craig Buckler Byron Houwens Jeff Mott Graham CoxThere's no doubt that the JavaScript ecosystem changes fast. Not only are new tools and frameworks introduced and developed at a rapid rate, the language itself has undergone big changes with the introduction of ES2015 (aka ES6). Understandably, many articles have been written complaining about how difficult it is to learn modern JavaScript development these days. We're aiming to minimize that confusion with this set of books on modern JavaScript. This book provides an introduction to many of the powerful new JavaScript language features that were introduced in ECMAScript 2015, as well as features introduced in ECMAScript 2016 and 2017. It also takes a look at the features planned for ECMAScript 2018 in this rapidly evolving language. It contains: New Keywords: let and const by Aurelio de RosaUsing Map, Set, WeakMap, WeakSet by Kyle PennellNew Array.* and Array.prototype.* Methods by Aurelio de RosaNew String Methods by Aurelio de RosaNew Number Methods by Aurelio de RosaES6 Arrow Functions: Fat and Concise Syntax in JavaScript by Kyle PennellSymbols and Their Uses by Nilson JacquesHow to Use Proxies by Craig BucklerDestructuring Assignment by Craig BucklerES6 Generators and Iterators: a Developer' Guide by Byron HouwensObject-oriented JavaScript: A Deep Dive into ES6 Classes by Jeff MottUnderstanding ES6 Modules by Craig BucklerAn Overview of JavaScript Promises by Sandeep PandaJavaScript Decorators: What They Are and When to Use Them by Graham CoxEnhanced Object Literals by Craig BucklerIntroduction to the Fetch API by Ludovico FischerES6 (ES2015) and Beyond: Understanding JavaScript Versioning by James WrightWhat's New in ES2017: Async Functions, Improved Objects, and More by Craig BucklerWhat's New in ES2018 by Craig Buckler This book is for all front-end developers who wish to improve their JavaScript skills. You'll need to be familiar with HTML and CSS and have a reasonable level of understanding of JavaScript in order to follow the discussion.
Practical Electronics: Components and Techniques
by J. M. HughesHow much do you need to know about electronics to create something interesting, or creatively modify something that already exists? If you’d like to build an electronic device, but don’t have much experience with electronics components, this hands-on workbench reference helps you find answers to technical questions quickly.Filling the gap between a beginner’s primer and a formal textbook, Practical Electronics explores aspects of electronic components, techniques, and tools that you would typically learn on the job and from years of experience. Even if you’ve worked with electronics or have a background in electronics theory, you’re bound to find important information that you may not have encountered before.Among the book’s many topics, you’ll discover how to:Read and understand the datasheet for an electronic componentUse uncommon but inexpensive tools to achieve more professional-looking resultsSelect the appropriate analog and digital ICs for your projectSelect and assemble various types of connectorsDo basic reverse engineering on a device in order to modify (hack) itUse open source tools for schematic capture and PCB layoutMake smart choices when buying new or used test equipment
Practical Empathy
by Indi YoungConventional product development focuses on the solution. Empathy is a mindset that focuses on people, helping you to understand their thinking patterns and perspectives. Practical Empathy will show you how to gather and compare these patterns to make better decisions, improve your strategy, and collaborate successfully.
Practical Engineering Design
by Maja Bystrom Bruce EisensteinEvery engineer must eventually face their first daunting design project. Scheduling, organization, budgeting, prototyping: all can be overwhelming in the short time given to complete the project. While there are resources available on project management and the design process, many are focused too narrowly on specific topics or areas of engineering. Practical Engineering Design presents a complete overview of the design project and beyond for any engineering discipline, including sections on how to protect intellectual property rights and suggestions for turning the project into a business.An outgrowth of the editors' broad experience teaching the capstone Engineering Design course, Practical Engineering Design reflects the most pressing and often-repeated questions with a set of guidelines for the entire process. The editors present two sample project reports and presentations in the appendix and refer to them throughout the book, using examples and critiques to demonstrate specific suggestions for improving the quality of writing and presentation. Real-world examples demonstrate how to formulate schedules and budgets, and generous references in each chapter offer direction to more in-depth information.Whether for a co-op assignment or your first project on the job, this is the most comprehensive guide available for deciding where to begin, organizing the team, budgeting time and resources, and, most importantly, completing the project successfully.
Practical Enterprise Data Lake Insights: Handle Data-Driven Challenges in an Enterprise Big Data Lake
by Saurabh Gupta Venkata GiriUse this practical guide to successfully handle the challenges encountered when designing an enterprise data lake and learn industry best practices to resolve issues.When designing an enterprise data lake you often hit a roadblock when you must leave the comfort of the relational world and learn the nuances of handling non-relational data. Starting from sourcing data into the Hadoop ecosystem, you will go through stages that can bring up tough questions such as data processing, data querying, and security. Concepts such as change data capture and data streaming are covered. The book takes an end-to-end solution approach in a data lake environment that includes data security, high availability, data processing, data streaming, and more.Each chapter includes application of a concept, code snippets, and use case demonstrations to provide you with a practical approach. You will learn the concept, scope, application, and starting point.What You'll LearnGet to know data lake architecture and design principlesImplement data capture and streaming strategiesImplement data processing strategies in HadoopUnderstand the data lake security framework and availability modelWho This Book Is ForBig data architects and solution architects
Practical Enterprise React: Become an Effective React Developer in Your Team
by Devlin Basilan Duldulao Ruby Jane CabagnotLearn to write a real-world enterprise app using the fundamentals of React and the most popular React libraries. Knowing the basics of React is important, but what is more important is knowing the common third-party libraries and how to use them. The book is perfect for intermediate to experienced React developers or busy React developers who would like to get things done and have maintainable React code.Practical Enterprise React features popular libraries such as React Router v6 for route navigation, Redux with Saga and Thunk for state management, and Formik with Yup for form and input validations. You'll also work with Material UI 5 (the next major version of the most popular UI component library in React), Axios as the HTTP client library, JWT auth for client app authentication, and TypeScript. Finally, you'll learn to deploy the app to Netlify, and containerize the React app to ship it as a standalone container instance or in a Kubernetes cluster. Become a more effective React developer by using what is available out there instead of trying to reinvent the wheel. This book reveals how to save time and money, and build better apps for your clients. Get practical with React enterprise app development and enhance your career. What You'll Learn Use TypeScript in React and React HooksWork with Redux Toolkit, and TypeScriptBuild an inventory dashboard, charts, and calendarWrite forms with FormikValidate inputs with YupUse Material UI for fast user interface buildingSecure your React app by building a login form and protecting the routes Who This Book Is ForThose interested in writing React enterprise apps. Knowledge of HTML, CSS and JavaScript/TypeScript is required, and experience with JavaScript libraries/frameworks would be useful.
Practical Enterprise Software Development Techniques: Tools And Techniques For Large Scale Solutions
by Edward CrookshanksThis expanded and updated edition of 'Practical Enterprise Software Development Techniques' includes a new chapter which explains what makes enterprise scale software development different from other development endeavors. Chapter 4 has been expanded with additional coverage of code review, bug tracker systems and agile software applications. The chapter order has been changed in response to feedback from readers and instructors who have taught classes using the previous version (which was also published by Apress). This book provides an overview of tools and techniques used in enterprise software development, many of which are not taught in academic programs or learned on the job. This is an ideal resource containing lots of practical information and code examples that you need to master as a member of an enterprise development team. This book aggregates many of these 'on the job' tools and techniques into a concise format and presents them as both discussion topics and with code examples. The reader will not only get an overview of these tools and techniques, but also several discussions concerning operational aspects of enterprise software development and how it differs from smaller development efforts. For example, in the chapter on Design Patterns and Architecture, the author describes the basics of design patterns but only highlights those that are more important in enterprise applications due to separation of duties, enterprise security, etc. The architecture discussion revolves has a similar emphasis - different teams may manage different aspects of the application's components with little or no access to the developer. This aspect of restricted access is also mentioned in the section on logging. Theory of logging and discussions of what to log are briefly mentioned, the configuration of the logging tools is demonstrated along with a discussion of why it's very important in an enterprise environment.
Practical Entity Framework Core 6: Database Access for Enterprise Applications
by Brian L. GormanTake a developer journey that paves the way to enterprise-level database access from .NET and C# using the object-relational mapper (ORM) of choice. This second edition is revised to cover Entity Framework Core 5 and 6 (EF) and includes new content on table-per-type mapping, LINQ improvements (filtered includes), many-to-many navigation changes, split queries, simple logging using the DBCommandInterceptor, and other improvements available in EF Core 6. Real-world examples and considerations are presented in this book to help you create robust and efficient database solutions. Throughout the text, actual problems, questions, and common pitfalls are provided to help you recognize optimal solutions for maximum success in the different application scenarios you might encounter. Practical Entity Framework Core 6 focuses on the code first approach to developing a database. Taking the code first approach allows the entire database to be built and maintained in code using EF Core 6 so there is never a situation in which you cannot restore the database schema. Additionally, the code first approach creates an entirely transparent record of changes to the database that is easily tracked in source control systems such as GitHub. Emphasis throughout the book is on leaving you well positioned to architect and lead data development efforts for your organization.What You Will LearnBuild robust and maintainable databases using a code first approachCreate and execute stored procedures, triggers, and functionsAnalyze and optimize performance of database queriesEnsure data integrity through keys, constraints, and relationshipsEncrypt your database columns at rest with TDE and Always-On Encryption Leverage the FluentAPI and attributes for entity configurationWho This Book Is For.NET developers who work with enterprise-level applications and need to interact with data structures and data within the back end data store, developers who want to take a code first approach to building database applications to prevent conflicts and optimize efficiency, and those who are moving into full-stack roles, or into senior and architectural roles, and will be responsible for database design and implementation
Practical Entity Framework: Database Access for Enterprise Applications
by Brian L. GormanDetermine your object relational mapper (ORM) of choice for enterprise applications using .NET Framework, and especially .NET Framework Core 3.1 and higher. Real-world examples and considerations are presented in this book to help you create robust and efficient database solutions. Throughout the text, actual problems, questions, and common pitfalls are provided to help you recognize optimal solutions for maximum success in the different application scenarios you might encounter. Practical Entity Framework begins with a simple overview of the two most common approaches to working with databases—database first and code first—and then focuses on working in a code first manner. Taking the code first approach allows the entire database to be built and maintained in code so there is never a situation in which you cannot restore the database schema. Additionally, the code first approach creates an entirely transparent record of changes to the database that is easily tracked in source control. Emphasis throughout the book is on leaving you well positioned to architect and lead data development efforts for your organization.What You Will LearnBuild robust and maintainable databases using a code first approachCreate and execute stored procedures, triggers, and functionsAnalyze and optimize performance of database queriesEnsure data integrity through keys, constraints, and relationshipsWho This Book Is For.NET developers who work with enterprise-level applications and need to interact with data structures and data within the back end data store, developers who want to take a code first approach to building database applications to prevent conflicts and optimize efficiency, and those who are moving into full-stack roles, or into senior and architectural roles, and will be responsible for database design and implementation
Practical Event-Driven Microservices Architecture: Building Sustainable and Highly Scalable Event-Driven Microservices
by Hugo Filipe Oliveira RochaIn the simplest terms, event-driven architectures are like onions; they are manageable as a single layer (like a monolith) but when you get into them, they begin to cascade apart and you quickly realize that there are many complex layers (distributed microservices architecture). And that’s when the tears begin.This prescriptive guide takes you through the steps of moving a platform with millions of users from a monolith to a microservices event-driven architecture. You will learn about the challenges and complexities that arise in high-throughput environments that often contain upwards of hundreds of microservices. This book is designed to be your single best resource for learning how to apply event-driven architectures in real-world scenarios and offers hundreds of patterns to overcome the common and not so common challenges.While event-driven architectures have been the standard for decoupled, pluggable, evolutionary architectures for years, they have only recently been adopted by enterprises for the purpose of distributed microservices and there is little information about adopting them. Using them at scale can save valuable resources, but requires different considerations, including the added complexity of supporting several moving parts and getting the event schema right from the start in order to avoid large restructuring later on.Author Hugo Rocha understands that these kinds of challenges, as well as many others, need to be considered from the beginning, and helps teach you the mindset needed to create a deliberate strategy upfront. This book offers learning approaches and patterns to get you up to speed in order to sustainably build and manage event-driven architectures.What You Will LearnUnderstand the real-world challenges of event-driven architectures and the patterns to deal with those challenges and the trade-offs of each solutionLeverage the advantages of event-driven architectures to build scalable solutions and address legacy applicationsPlan successful future implementations to avoid common pitfalls and apply proven patterns to deal with challenges in a real-world platform with millions of usersDecide whether event-driven solutions are the right choice for the requirements at handDiscuss and understand advanced concepts about event-driven architectures Who Is This Book ForSoftware engineers and software architects. Anyone currently working with microservice architectures, primarily event-driven microservices, will greatly benefit from this book. Readers working with monoliths will benefit, as the book explores migration from a monolithic application to an event-driven microservice architecture.
Practical Explainable AI Using Python: Artificial Intelligence Model Explanations Using Python-based Libraries, Extensions, and Frameworks
by Pradeepta MishraLearn the ins and outs of decisions, biases, and reliability of AI algorithms and how to make sense of these predictions. This book explores the so-called black-box models to boost the adaptability, interpretability, and explainability of the decisions made by AI algorithms using frameworks such as Python XAI libraries, TensorFlow 2.0+, Keras, and custom frameworks using Python wrappers.You'll begin with an introduction to model explainability and interpretability basics, ethical consideration, and biases in predictions generated by AI models. Next, you'll look at methods and systems to interpret linear, non-linear, and time-series models used in AI. The book will also cover topics ranging from interpreting to understanding how an AI algorithm makes a decisionFurther, you will learn the most complex ensemble models, explainability, and interpretability using frameworks such as Lime, SHAP, Skater, ELI5, etc. Moving forward, you will be introduced to model explainability for unstructured data, classification problems, and natural language processing–related tasks. Additionally, the book looks at counterfactual explanations for AI models. Practical Explainable AI Using Python shines the light on deep learning models, rule-based expert systems, and computer vision tasks using various XAI frameworks.What You'll LearnReview the different ways of making an AI model interpretable and explainableExamine the biasness and good ethical practices of AI modelsQuantify, visualize, and estimate reliability of AI modelsDesign frameworks to unbox the black-box modelsAssess the fairness of AI modelsUnderstand the building blocks of trust in AI modelsIncrease the level of AI adoptionWho This Book Is ForAI engineers, data scientists, and software developers involved in driving AI projects/ AI products.
Practical Ext JS 4
by Prabhu SunderaramanPractical Ext JS 4 will get you up and running, using Ext JS 4. 2 for your projects, as quickly as possible. After a quick refresher on some JavaScript basics, you will get to grips with Ext JS 4's OO concepts (such as mixins) and familiarize yourself with its UI components and layout. You'll learn all the core features of the Ext JS framework, such as its MVC architecture, theming and styling your applications, and displaying data through components such as grids, trees, and charts. You'll use the Ext JS components and create an entire application from scratch by following the many practical examples. Finally, you'll learn about unit testing and packaging to build and deploy better applications. Provides you with a solid knowledge of the building blocks of Ext JS 4 Takes you through developing applications using the MVC architecture Demonstrates extending the UI with custom components and plugins Shows you how to unit test Ext JS 4 applications with Jasmine and deploy them with Sencha Cmd Completely up-to-date for the latest Ext JS 4. 2 What you'll learn Understand the design of the Ext JS API Use the UI components effectively Understand the data handling capabilities of Ext JS 4 Create custom UI components Develop applications using MVC architecture Unit test Ext JS 4 applications Who this book is for Practical Ext JS 4 is for web developers who want to jumpstart building Ext JS 4 applications. It's also intended for programmers who wish to get started with serious JavaScript coding using Ext JS 4. You should have a working knowledge of web technologies and JavaScript to get the most from this book. Table of Contents Core JavaScript and JavaScript Frameworks Overview of Ext JS 4 Understanding the Ext JS 4 API Controls and Layout Working with Data Data Controls Drag and Drop Theming and Styling MVC with Ext JS 4 Extending, Unit Testing, and Packaging
Practical Fairness: Achieving Fair And Secure Data Models
by Aileen NielsenFairness is an increasingly important topic as machine learning and AI more generally take over the world. While this is an active area of research, many realistic best practices are emerging at all steps along the data pipeline, from data selection and preprocessing to blackbox model audits. This book will guide you through the technical, legal, and ethical aspects of making your code fair and secure while highlighting cutting edge academic research and ongoing legal developments related to fairness and algorithms.There is mounting evidence that the widespread deployment of machine learning and artificial intelligence in business and government is reproducing the same biases we are trying to fight in the real world. For this reason, fairness is an increasingly important consideration for the data scientist. Yet discussions of what fairness means in terms of actual code are few and far between. This code will show you how to code fairly as well as cover basic concerns related to data security and privacy from a fairness perspective.
Practical Finite Element Simulations with SOLIDWORKS 2022: An illustrated guide to performing static analysis with SOLIDWORKS Simulation
by Khameel B. MustaphaHarness the power of SOLIDWORKS Simulation for design, assembly, and performance analysis of componentsKey FeaturesUnderstand the finite element simulation concepts with the help of case studies and detailed explanationsDiscover the features of various SOLIDWORKS element typesPerform structural analysis with isotropic and composite material properties under a variety of loading conditionsBook DescriptionSOLIDWORKS is a dominant computer-aided design (CAD) software for the 3D modeling, designing, and analysis of components. This book helps you get to grips with SOLIDWORKS Simulation, which is a remarkable and integral part of SOLIDWORKS predominantly deployed for advanced product performance assessment and virtual prototyping.With this book, you'll take a hands-on approach to learning SOLIDWORKS Simulation with the help of step-by-step guidelines on various aspects of the simulation workflow. You'll begin by learning about the requirements for effective simulation of parts and components, along with the idealization of physical components and their representation with finite element models. As you progress through the book, you'll find exercises at the end of each chapter, and you'll be able to download the geometry models used in all the chapters from GitHub. Finally, you'll discover how to set up finite element simulations for the static analysis of components under various types of loads, and with different types of materials, from simple isotropic to composite, and different boundary conditions.By the end of this SOLIDWORKS 2022 book, you'll be able to conduct basic and advanced static analyses with SOLIDWORKS Simulation and have practical knowledge of how to best use the family of elements in the SOLIDWORKS Simulation library.What you will learnRun static simulations with truss, beam, shell, and solid element typesDemonstrate static simulations with mixed elementsAnalyze components with point loads, torsional loads, transverse distributed loads, surface pressure loads, and centrifugal speedExplore the analysis of components with isotropic and composite materialsAnalyze members under thermo-mechanical and cyclic loadsDiscover how to minimize simulation errors and perform convergence analysisAcquire practical knowledge of plane elements to reduce computational overheadWho this book is forThis book is for engineers and analysts working in the field of aerospace, mechanical, civil, and mechatronics engineering who are looking to explore the simulation capabilities of SOLIDWORKS. Basic knowledge of modeling in SOLIDWORKS or any CAD software is assumed.